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Love Hearing Some Aspirations (Notes from Oct 14 – Oct 20, 2019) December 19, 2019

Posted by Anthony in Automation, Blockchain, Digital, experience, finance, Founders, global, Hiring, Leadership, marketing, medicine, NLP, questions, social, Strategy, Uncategorized, WomenInWork.
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Happy holidays, everyone! Hopefully you’re staying warm/dry – whether that’s inside or just generally in a better location. I’ll say I already wish that I purchased into that ski cabin for the holiday since we’ve had a bunch of rain over the last few weeks in the bay area and now fresh powder in the Sierras. But alas, I did not. Next time, next time.

I’m going to keep this brief, but primarily because I have fallen behind in writing and it pains me weekly. Habits break and that may need to be bumped up in the new year – try out substack or something similar. But, I think I’m finally going to launch something that I’ve been meaning to build. CV / Image recognition sourcing into a database to keep track of something that plays a prominent role for many. We’ll see if I can get the prototype usable and I’ll update here.

Aspirations – I love talking and listening to people who have big dreams. I think there are many who hold themselves back for all kinds of reasons. If I catch wind or hear it, I will push you to start – something, anything – for your sake. It’s rewarding to have to dive in and try it out. Maybe it falls off after 6 months. Maybe you run out of money that you allotted to the side. Maybe, you succeed. Or learn  enough to accidentally fail upwards into a better / concrete idea. I hope for it all when people have these ideas. It’s inspiring – helps me go through my own models for how I interpret my world if I have to wrap my head around how friends/colleagues/Tweeps view their own. And how things can become better. Ultimately, that’s what we’re trying to do with many ideas. Is it a cool new thing? Is it something you wish you had? Is it an observation that you want to test? Build. You won’t regret it if you don’t in the grand scheme, but if it’s a big enough itch, it’s worth the learning experience in a world where not enough of us do (but it’s not for a lack of time).

Hope you enjoy the notes.

  • Patrick / Raamayan, Cofounder of Unify (Wharton XM)
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    • Global meditation, achieving state of flow
      • Could be gym, yoga, prayer, running
    • If you have an hour, you have 15 minutes
  • Brianne Kimmel (@briannekimmel), Worklife Ventures (20min VC 10/14/19)
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    • Backed by Andreesen, Chris Dixon, Zoom’s Eric Yuan, and friends Alexis Ohanian, Garry Tan, Matt Mazzeo
    • Teaching General Assembly while operating in performance/growth marketing role at Expedia before Head of Social Media
      • Go-to marketing bootcamp (SaaS school now)
      • SaaS school taught my brand name heads at SaaS top places
    • Started with $25-50k angel checks in Webflow, Voiceflow, Airgarage and built a track record
      • Wanted to build a SaaS-fund to focus on go-to-market from bottoms-up
      • Enjoys building and structuring companies to get into the Venture-sized outcomes
      • Having a fund that’s open enough to maybe do private equity after stuck between $3-5mn ARR
    • Optionality for early stage, inflection points, maybe getting growth PM to scale into CEO
      • $150k checks incrementally grown from $25k
    • Proliferation of funds and capital – investing from own, micro-VC and angels platforms
      • Scouting for VC fund – operators at hot tech company
      • AngelList and Carta as platforms for own angel funds or boutique arrangements (flexibility with checks, numbers, still operate)
    • Celebrities/athletes using investments in startups to match their brand or expand it
      • Intersection of work and life – seeing Faire and Shopify give access to a huge new audience
    • Angels with leverage in cap table – “perfect one” and she grooms founders for this
    • Worklife – services and programs to unlock human potential at scale
      • Hypevsaas – traditional language for b2b is dead, according to her
      • Great saas being built by operators spinning out of consumer tech (Airbnb, Coinbase, Uber)
        • Scaling too quickly where they end up building their own tools before open sourcing or monetizing
      • With self-serve SaaS companies, many APIs and workflow tools, are easy to build – what’s the competitive advantage
        • Your access to tech, building closed products (specific users in line with product vision)
      • Opposite of Hypevsaas as “Scrappy SaaS” – going away slowly, race similar to consumer product for paid marketing
        • Freemium to quickly launch/build but products too easy – race for free users and attempt to monetize later
        • Mirrors side hustle or application as experiment with a possible traction
    • Consumer-grade experiments where users pay from day one – mentioned Superhuman and Rahul’s talk
      • SaaS school discussion about video game design and hook
    • Pace as most recent investment – accessing software with lower monthly rate because they access the contracts
  • Justin Kan (@justinkan), Founder / CEO of Atrium (20min VC 6/21/19)
    atriumlts

    • Full-service corporate law firm for startups
    • Started in 2004 with online calendar a la Gcalendar called Keeko, got into YC
      • Failed and sold it on ebay eventually
    • Then started Justin.tv – terrible idea that mostly failed and eventually made it into a streaming site to do Twitch
      • Sold in 2014 to Amazon, started another company called Exec in 2015 – errand service
      • Became a partner at YC but realized after a few years that an investor full-time wasn’t for him
      • Forced, as a startup founder, to learn things (hadn’t been learning as an investor)
    • 2017 – remembered how painful it was learning things – thinking of ideas
      • Conversation with a partner at a law firm in the city – asked her why they didn’t use any tech themselves
      • Full-stack corporate law firm in US – high growth companies that they’re building for last 2 years
    • Had used legal services no matter what they had – big transactions pay attorneys regardless, stable market
      • Will exist in a downturn because things don’t just stop
    • Remembered that every summer at the start of his startups, he would want to quit – think of new ideas or new things
      • Once out, he’d think he didn’t want to do it again, until it brought him back
      • First 3 months – thought he was great, figured it out due to 10 years’ experience, until stress came back
        • 6 months of stressful period – figured it out that he was still fine, reputation/old job
        • Self-improvement and growth had to come from culture
    • Hard to detach yourself from company as entrepreneur
      • Has attachments and notifications to make sure that he’s being present
      • Having goals in life, company, entrepreneur – board game metaphor – friends play and being engaged
      • Put away a game – do you remember or care what happened?
    • Started seeing a therapist 7 years prior – coach for dealing and discovering about what you’re going through
      • Cathartic, in his opinion – not alone and can talk to people
      • 15 Commitments of Conscious Leadership, Steve from Reddit
        • Radical responsibility – nobody else will come to save you, nobody to blame
        • Radical curiosity – whenever a new situation comes up, you approach it with what you’re supposed to learn
    • Don’t have to suffer for doing a start-up – not saying “Don’t work hard”
      • Building up skills, expectation for suffering isn’t the case
      • Atomic Habits by James Clear for him following working out each day
    • Zone of Genius – cares and loves to focus on, delegate rest
      • At Atrium, focus on business strategy, selling, culture
      • Build the team for the rest of it
    • Much better at recognizing patterns after investing 100 companies
      • Implementing in company, business models and market dynamics
      • Bad – investor attitude (approached Atrium like this)
    • Atrium – up to 150 employees in SF now – happy and proud for the culture and growth
  • Eric Kinariwala (@ekinariwala), founder / CEO at Capsule (DealMakers 10/15/19)
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    • Rebuilding pharmacy from inside out – raised $270mn from TCV, Thrive Capital, Sound Ventures, Virgin Group, M13
    • Wharton undergrad, network from there as financial services, banking and decided to go to west coast – Stanford
      • Started at Bain Capital in Boston after graduating – worked in a hedge fund group investing
        • Retail, healthcare, tech – blending framework around business strategy, what makes it a good business
        • Judging management and the synergies – learning how to invest, as well
      • Making right judgment calls – tight feedback loops
    • For Capsule, had moved back to NY, got a headache – called doctor and had a prescription ordered
      • Pharmacy is $350bn – most frequent interaction in healthcare
      • 2nd largest category of retail – 70k stores
      • Got headache and went to go pick up his meds but couldn’t find it, then they were out of stock and it was awful
    • Hard to get advice from the pharmacy, don’t know the price until they go to pay
    • Everybody touching the pharmacy has a headache, typically
    • 3 pillars of Capsule: modern technology platform, emotionally resonant brand, pharmacy how your mom would treat you
      • Prototypical pharmacist as founder, 2nd was highly experienced technologist, 3rd woman that spent building consumer brands
    • Business model – “10x better” than current existing – technologically enabled pharmacy – app with 5 pieces of information
      • 2 hour delivery windows, know price of medication, doctors know what you’re doing
      • Why are there so many pharmacies? Put money spent on rent back into beautiful design and technology to be seamless
    • Launched in 2016, first customer in May – first challenges in early days
      • Strong word-of-mouth from friends, doctors who had learned about Capsule – telling patients and vice versa
      • Early pharmacist was well-versed in regulatory environment for anything that could’ve been broken
    • He had raised in May ’15 to get started – raised $70 million to start
      • Ideal profile / entire business model needs to be aligned with values: objectives, values, strategy and metric
      • Asking to join and leaders need to have alignment in the same way – even the board – share vision and how / why you operate
    • Team is bigger than 250 full-time, all in NYC now – encouraging people to read ahead of joining, also
      • Checklist Manifesto, On Wings of Eagles, Danny Meyer’s Setting the Table, and Who by Dan [Geoff?] Smartt
    • For the future of Capsule – most important thing in your family’s life as healthcare (although I’d argue bank or something)
      • 5x more pharmacy visits than doctor (sheesh) – wants to make it mobile-first and on the home page of phone
    • Piece of advice for his first day: be more confident earlier
  • Gimlet 1: How to Not Pitch a Billionaire (Startup Podcast 4/5/14)
    gimlet-and-spotify

    • Pitching Chris Sacca – meeting at a hole-in-the-wall sushi place for lunch in LA
      • Deck as a crutch and did it outside the lunch – no slides
      • Most people consume audio in radio and are leaving to digital – audio dashboard, podcasts music all there
      • Wants to start company for the content for moving into the digital future
      • One question he asked: what’s the unfair advantage? Explained how to make money (ads, listeners)
        • Freemium – offer an extra for the listeners who want to pay.
        • He answered: making freemium model work – had to tighten it up
      • Chris Sacca – took 2 minutes and did the pitch
        • People willing to pay for this stuff – Planet Money where they gave $600k to buy tshirt with our logo
          • Integrated directly that we can replicate
        • $1.5mn to buy 3-4 guys for podcasts in next 12 months, can get to 300-400k net subscribers
          • Can get to breakeven on ads alone, CPMs where they are – more integration and episodes will be ultimately scale
          • 12-15 podcasts and we can do it
      • Then countered with the audio is a niche market – nonprofit and audio moving toward shorter content
    • Met him on a Planet Money story when he was going over patent system and how it was slowing innovation
    • Strategy/ideas at Google, writing seed investment check in PhotoBucket – didn’t have it, though
      • Just $50k and wrote 2 credit card checks – enjoyed the feeling so much he left Google
      • First investment was in a colleague, Evan Williams, for Twitter as a full-time angel
        • Wrote the check for $25k – was a lot of cash to him, needed it to work – wanted to help out, evangelist
        • Started buying more shares and doubling – believed in the company
    • Kickstarter, Uber, Instagram, etc… looks hard at the conviction of the success
      • Missed on DropBox (Gdrive was going to crush them), Airbnb (someone will get raped or murdered, can’t work)
    • Told him to come back, tighten the pitch and then do it for Chris’ partner Matt who was from the media world
  • Pankaj Risbood (@risbood), founder at Zendrive
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    • Discussing leveraging data and making it a platform instead of an app
      • Dealing with partners to ensure they can improve value
    • Mission Street project – 6 months driver flow before and then after shutting down
      • Reducing poor driving / improve driver safety and it was fairly obvious
    • Can deploy this in the form for insurances, as well
  • Jacqueline Courtney (@jac_courtney), Founder of Nearly Newlywed (Wharton XM)
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    • Pitching on Shark Tank to grab attention
    • Starting as seeing option in fashion tech for underserved market
    • Tough for Amazon to compete because of the marketplace factor and users are only in for 1 sale, 1 wedding
      • Taking 40% of the sale but trying to maximize the amount of cost for many
      • Realized photos that were posed / models with dresses didn’t sell as well as real wedding photos
        • Started asking customers for them this way
  • Noah Auerbahn (@noahauerbahn), co-founder and CEO of Robin Healthcare (Lindzanity 10/2/19)
    5d00b6c5f8049e595a67e73d_logo-robin

    • Robin as virtual scribe that sits on doctors desks and records video/audio from room – sits in exam room
      • Started with orthopedic physicians – 6 sub-specialties and they cover all of them so far
    • Met Gary, Howard’s partner, when Noah was 21 and starting first company – ExtraBucks (cash back coupons)
      • Came up with at dorms in USC, raised enough money to move to SD with his cofounders
      • Were cash flow positive and had Gary and Alex as advisors – realized he didn’t want to be in ecommerce forever
        • Decided to sell and exit once they questioned it – had raised around $1million, no venture
    • Believed college as what you make of it – did entrepreneurship / business in undergrad but taking it and questioning how to apply it
    • Education, energy, and health were the lists of what he thought may have the most impact – health was the biggest for him
      • He would hire MIT PhD and UCLA MD to come to his office and tutor him – “pretty affordable, like $70/hr” to teach at pace you want
      • He wanted massive optionality within healthcare – not just ecommerce, if he wanted to do pharma, biotech, find the right entry point
      • 100s of research posts, 100s of conversations, started going to conferences (where he met his cofounder)
    • Entire system – center of the system is the exam room – decisions get made there, so he wanted to build something interesting inside of that room
      • Patient, doctor, and EMR (not interested in sharing data)
        • Found out that there was a scribe in 5% of rooms and he asked why they aren’t remote or something
        • Lower burnout rates, better throughput and service, notes/quality control could have issues
        • Decided to tool in a good UX, ML additionally
    • Wanted to do something big, had to raise money eventually but “How many assumptions could he kill or the idea before saving time?”
      • First paying customer, had $40k, webcams, notes (his cofounder doing them), device streaming and did it at his mom’s vet clinic (non-HIPAA)
        • Built own tech, had some handful of paying customers – had taken some friends/family $ that missed on his first company and then real
      • Didn’t anticipate hardware but couldn’t find something that could be used for solving this
        • Security cams aren’t great because of acoustic but could stream all the time
        • Conference ones which aren’t designed to run all the time – ran own software on it, but lot of work to keep it working all the time
        • Sonos speaker guys were helpful in producing what they ended up building (optional video)
    • Device has about 2% of people where they don’t consent – video/audio and can be more in tune with the patient
    • Having offices in SD, Berkeley (his reverse commute from SF) and Austin – where most pre-med scribes are for them
      • Mentioned 30% Stanford Med graduates don’t end up as doctors – go into tech
  • Morgan Housel, co-founder of Collaborative Fund (Lindzanity, 10/9/19)
    deuobz-u8aarwgs

    • Howard’s favorite thinker/writer/storyteller and his interesting career arch – key to writing is writing
    • Effective long-form is rough but when it’s good, it’s bar-belled (10 seconds is better than longer reading)
      • Only books he got through were Shoe Dogs and Agassi’s book – Munger’s “Don’t be burdened by bad books”
    • Cramer’s “Confessions of a Street Addict” as good, as well
      • Coming from nowhere, knew how to write briefly, Howard as superfan – first modern financial professional that had personality
      • Howard feels like it’s an underachievement – Morgan said he’s not a great investor – so much trust built up that he should be running a massive firm
      • Access to people, financial celebrity
    • Fascinated by Motley Fool – when Morgan had hedge fund, had CNBC but Dave and Tom Gardner – hats on, promotional and StockTwit before
      • Went for mom and pops – tremendous marketers, but made mistakes
    • 2007 – dawn of financial disaster, studying econ at USC (his plan was p/e and ib) but finance was terrible
      • Didn’t think highly of Motley Fool – had gone through Yahoo finance boards and saw his friend, Sham Gad, at USC was writing for them
      • Thought he’d do Motley Fool shortly as contract, couple months, and was writing an article a day – (plan was initially p/e but they couldn’t bring him on)
      • For him, he was supposed to be banking industry, and writing other stuff as well – economy and macro issues (unemployment, fed reserve, budgets)
      • No explanation for decisions being rational – before, during, after no good explanations – psychology of investing
    • Psychology of investing will always be there – different layers of edge and vs technical side – can be base of pyramid
      • Smartest analyst or data miner but without greed/fear, nothing would matter (Howard moving to angel – forced to go with it, prices were his weakness)
    • Time split for Howard – 50/50 between public/priv (prices keep him up to date on news)
      • Selling at Uber at $10bn because he wasn’t allowed to sell at $1bn – he was in with David Cohen’s $4mn fund, $50k at $4mn valuation, so he had $2k
      • Sold a lot early and then sold at $40bn and that’s where it is now – public would’ve been very different
    • New banks may be what Andreesen is doing – start as VC & get larger, for next 20 years
      • Citadel starting as hedge fund from dorm and now top-tier investment bank, doing everything – exchange, conglomerate
      • Partnership that can have trading stocks, wealth management, lean beast with trust/access – 2.5% fund without GS
      • Private becoming so large because of the liquidity area there
    • Josh as being equally funny and smart, not caring about markets – gave a sponsor to Morgan and Jesse Livermore (pseudo) and Twitter explodes
      • Motley Fool for 10 years, contractor for 7 years – LA first and then Seattle, then Alexandria for 3 years – only time he’s had a desk and office
      • Wife went to grad school in Baltimore to move them out that way
      • Motley Fool as bigger than you think – P/E mistake, big tool and screwups to learn a lot about mistakes
        • Joining Collaborative Funds (Craig Shapiro splitting time between NYC and SF) was easiest decision, but leaving MF was hardest of his life
    • What really can set you apart is not writing a check anymore – everyone has a checkbook
      • What do people know about you? What do you stand for? What is your vision?
      • If he could write what they wanted to read, it would draw back some attention to what they’re doing and standing behind.
    • Went to plenty of conferences, 4-5 a year and learned to speak – had a CFA Institute where he was the interviewer
      • Did keynotes for Motley Fool, video made it to Washington Speakers Bureau and started to do that
      • Several dozen talks a year now – wasn’t the plan original (2016 as first year)
        • Doesn’t sketch out an idea, write out an outline – just knows that he enjoys some part and how to contextualize it
    • Spends majority of his time going on walks to “write” – tough for him to grind the gears
      • 95% of his investing is house, checking acct and 3 Vanguards funds – saving dollar-cost-averaging there, since he isn’t really writing checks
      • Thinking about “enough” – 8% is fine, 10% would be nice but not worth stressing (says opposite of type A)
        • Odds are low to beat market, same with running – 3 miles is enough for him, doesn’t need to do half marathon
        • Biking for 1 – 2 hours, knows the burn, won’t need to do more
      • Why Howard says Andreesen’s model likely to make a difference
        • For Howard – indexing, 90% there and 10% to try to beat
      • If it bothers you, why are you torturing yourself? If you need to scratch the itch, take a small enough.
      • Hates idea that Vanguard gets to pick the 500 companies for him, not a fan of $5mln raise if you can do on $1mln
        • Similar to Risk gm – don’t start Europe, east Aus is better
    • Indexing as Robinhood vs Vanguard – somewhere in between (not robo), but just de-selecting the companies you may not want to invest in
      • Feel better, maybe hold on more during drawdowns – incentivize riding the wave
      • Example from Morgan about mom hating Monsanto (then he pointed out she owned some – she wanted to sell)

Paralysis of Planning (Notes from Oct 7 – Oct 13, 2019) December 12, 2019

Posted by Anthony in Automation, Blockchain, Digital, education, experience, finance, Founders, global, Leadership, marketing, medicine, questions, social, Strategy, Uncategorized, WomenInWork.
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Hello everyone! It’s been forever – a few weeks. That wasn’t my intention and my head’s been spinning around topics. However, nothing was clearing up idea-wise, at least enough to fit something in. As writing is an intentional habit of mine to try to memory-dump and stay organized, the slowdown has been a poor fall off from my routine. We’ll get it back.

I forget where I’d read it first, but there are some long-form bloggers who said just writing to write daily has helped them get to coherent, well-written posts about once a week. I may try a medium there and plan to write 3-4 days, even if it’s brief. Let’s see what comes of that (on initial thinking, I’d like to get 1 or 2 of those data-focused).

Last week, I attended #HustleCon in Oakland, which is focused on entrepreneurs (mostly non-technical) and the strength of pattern recognition and actions on ideas. A few of my prior posts have mentioned the flood of information available, so long as you have a plan to go through it. It’s likely why I found it funny to hear various founders with their “definitive” takes on fundraising, hiring and culture building processes. It’s possible the thing they all agreed on was just to focus on the product/customer feedback. The rest was completely in the air – some swore on fundraising and it was easy, others thought it was only necessary to scale to size they wanted later, some wanted to just get large customer traction, etc…. There’s no single track except your own past experiences. That’s the one track for ‘worked’ vs ‘doesn’t work’. Everything else has examples on both sides.

The commonality aside from product/customer-focus was in reflecting on actions – can you test an idea? Can it sell? Will there be a proper response? Is the response as you expected? Iterate from the basic idea that you had to begin with and see if you can’t improve it further. I am starting to agree that there are many ideas that fix many things we each interact with – our experience (usually bad) influence our ideas to improve them once you have that “I wonder why it can’t be easier – or why can’t it be done like X”. Acting on that idea to see if you can fix it is at least better for you and a handful of likeminded people – “2x improvements”. The iteration to move from that to providing an easier/painless/smooth/updated experience is the rest. And that determines success/fail of the business (if there was one). That’s a large jump but one that I may unpack in the future.

I think the notes below contain a solid mixture of hope for the future, business building, medicine and exploration.

  • Trae Vassallo (@trae), founder at Defy.vc (Wharton XM)
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    • Looking at focusing in early-stage connected software companies
    • Avoiding stigma of young and white and male – although that’s lore/myth, despite what we see in SF
      • Founders as average age of 40
      • Very diverse, including in their portfolio co’s
    • They lean on founders who they may have backed before
    • Attending Stanford for Bach, Masters and MBA
      • After undergrad, interned at Boeing for summer before realizing corporate wasn’t really for her, true engineering
      • Had more of a design mind – Ideo (design firm) kept intriguing her in SF
    • Niche for funding between big moves and some that don’t want massive venture deals – thought it was common enough to fit
  • Seyward Darby (@seywarddarby), Editor-in-Chief at The Atavist (Wharton XM)
    atavist_logo_2015

    • Discussing paper
  • Amazon to Deliver Healthcare, Google Quantum & VR/AR (16 Minutes on the News #10: 9/29/19)
    • Cost of employer-based healthcare just passed $20k annually for the first time
    • Often hear about “At least Amazon doesn’t deliver healthcare” – their position in the market is the source of fear
      • Haven’t hired nurses or physicians, partnered with Oasis
    • What would counterpart for realities of healthcare working
      • How do you integrate into supply chain of broader healthcare landscape (Amazon as just inserting into primary care, not others)
        • Primary care is a minor part of total spend
      • Game for startups is to get distribution before incumbent gets innovation
    • Oculus – advancing AR/VR very quickly – selling as fast as they can make them with Quest
      • Hand-tracking is working much better, technological advances
      • Verifocal lenses – different ways for seeing 3D
        • Big Screen as watching 3D films – true eye separation, although in VR, you don’t see great depth
    • Eyes trade off high resolution (central) compared to the outside which would be low res
      • Mobile GPU for glasses as less powerful but improving compared to ones that are plugged into the pc
      • Enough users where developers can be incentivized
    • Quantum computing as here – yes, but not broken for cryptography
      • You can run a computation / calculation on quantum computer
  • James Beshara (@jamesbeshara), cofounder at Tilt (20min VC FF#031, 1/22/16)
    crowdtilt-to-tilt-image_28305

    • Micro-crowdfunding platform, founded dvelo.org for crowdfunding loans and donations to poverty-alleviation
      • Then moved to friends funding
    • Khaled as co-founder – said “he’s the luckiest thing that happened to company”, introduced by a friend
      • 26 yr old running strategy at Rackspace – needed someone to develop because he didn’t have the development skills
    • College kids as the largest demographic here – wanted to make crowdfunding very easy
    • Fundraising process for the two of them, trying to get investments from real estate, oil & gas, hardware – didn’t understand
      • Were in ATX and had to do value prop for 90 seconds – duh?
      • Got into YC and grinded until that point, even for raising $500k
      • Helpful for Series A – growth graph that they didn’t have for seed
    • Destination in mind for investors – standalone, durable company (likely public)
    • 5 years away – building crowdfunding platform and taking it mainstream
      • Update: Didn’t make it.
  • Bryan Johnson (@bryan_johnson), founder of OS Fund and Braintree (20min VC 1/25/16)
    braintree_logo

    • Bought by ebay in 2013 for $800mil, and launched OS Fund with $100mil in personal capital to benefit humanity
    • Extend human life, replicate visual cortex, reinvent transportation and food
    • Key question of building technology and the world we want – governmental systems improvement
      • Balancing returns – money is a tool of power and influence
      • Can be decades and he’d be fine with it
    • Interested in materials science and rearrangement of atoms – raw source inputs, business services and how to consume them
      • His portfolio is mostly genomics and synthetic biology
      • Has a sizable chunk of experts that they get advised by on specialties
    • Blockchain technology – thinks of the start to the printing press
      • Tools of creation and platforms of creation are hard to predict what would be next
    • Fav book: Shackleton’s Endurance Voyage, favorite person: Craig Ventur
    • Most exciting recent investment: Ginkgo Bioworks
  • Kamran Fallahpour (Director at Brain Resource Center in NYC) and Geoffrey Woo (CEO, Founder at HVMN) Brain Hacking (Wharton XM, Dot Complicated)b593e157-b9cc-4762-b437-ff43ca3f731e-1498462151992

    • Bryan Johnson on Brain Hacking and founder/CEO of Kernel, not a matter of if / when
    • Coming to Brain Resource Center: both children and adults, ADD, ADHD, brain injury, migraines, anxiety
      • Families with kids with attention issues or doing fine but want an advantage
    • First do a brain mapping using EEG – over- or underactivation
    • For Geoffrey, he had friends after Stanford trying to make machines or robots smarter, better and more efficient
      • He wanted to wonder how he could get humans to perform better – tinker with the body
      • Cognitive functions as being why we’re above the animals – n=1 experimental starts
    • Pubmed research articles on nootropics, reports on Reddit for chemical stacks, substances that were supplements or foods
      • Prescription or off-label, scheduled drugs legal or illegal
    • Improved sleep as best biohack, exercise for cardiac health and now regular exercise/weightlifting as brain cognition
      • Neuroplasticity growth and improving brain functions – any way to stimulate the brain, puzzles/language/out of comfort zone
      • Plateaus when looking at neural feedback
  • Andres Barriga (@andresbarriga), cofounder of Portola Growth Partners (Wharton XM)
    • Chilean venture capital after business school in the states
    • Growth in LATAM – primarily western countries and then up to Mexico for growth
    • Talent is starting to be attracted to possibilities
    • They got 3 US funds to invest
  • CRISPR! Policy, Platform, Trials (16 Minutes News by a16z #11)
    • CCR5 gene as preventing HIV
    • Alliance of 13 companies in the space to not do germline editing, but would still do therapeutic somatic cell genetics
      • Genome that runs the body and the one you pass on to generations – germline
      • Somatic cells will not be passed down to future generations (eyes, liver, etc…) and germline would
    • 1970s had discovery of recombinant DNA – tech to cut/paste genes
      • 1980s had genetic applications outside of the body – initial cut healthy copy of gene and put into virus and stick into humans
      • Late 90s – patient Jessica Zellwinger – can’t randomly do gene splicing
      • Talons – gobbler proteins – zinc fingers took forever to remove mutated genes but would take PhD students months and $10ks
    • Emergence of CRISPR as way to treat disease, in short order
      • Gene therapy, CRISPR, engineered cells to treat cancer, for instance
    • Legislation in California – preemptive for what could go wrong and how to be productive
      • What if the kit is used improperly
    • Applications – ex-vivo vs in-vivo (outside of bodies compared to in)
      • Vehicle/delivery compared to the load – which is ex-vivo and can be Quality Controlled
      • Eye as initial in-vivo CRISPR use since eye is immune-privileged (bacterial components of delivery)
      • CAR-T therapy for cancer patients – usually send cells to get edited and then put back in
  • Sarah Hum (@sarahhum), founder of Canny (Indiehackers #124 10/7/19)
    logo

    • User feedback tool, feeling the pain of the data and trying to combine customer data
    • Just crosses $50k MRR – team of 5, transparent and paying team with money they make
    • Digital nomad – she was in the same place in SF with her cofounder – quit her full-time job but wasn’t making much
      • Team of 2 was easy as she traveled initially, couple

      • Indiehackers Courtland with his brother – know how to argue and disagree
    • Had done quite a bit of hackathons – worked at Facebook for 1.5 yrs before starting
      • Worked on Messenger as product designer – felt limited by what she wanted to do
      • PD is ~20%, she’s learned about marketing and pricing and sales otherwise
    • Started Product Pains as a community for people giving feedback over things – didn’t monetize initially
      • Had a community of 5000 people that primarily did consumer products
      • Rebranded to turn it into b2b and monetize – could change products with Product Pains (give them feedback, for instance)
      • Andrew had worked on team working with React – teammate had asked him after he left about what he was doing
        • Started using Product Pains to get information about developer pains – still a big mechanic
    • Eventually they had companies join Product Pains who asked if they had a widget
      • Didn’t have widget initially, but they asked if they built it, would they pay for it? Basically said yes – $19/mo
      • Had been 3 months after she quit to rebrand and launch as Canny
        • Had to get a pricing page going for payments
    • Get Satisfaction around 2008-2009 as Yelp for customer service / user feedback that got a ton of investor money
      • Raised $10-20mln and cratered in a short amount of time
    • Launched Canny on Product Hunt as a good initial feedback and went to Oct ’17 for profitability (hit Hacker News)
      • May / June talked about digital nomads – week or so before leaving and took off – first little tour of US and then went to London
      • 26 cities in 2 years, Seoul as reliable cafés and wi-fi – Nomadlist and about a month in each place
    • Writing 200 words a day – blogs every week then are almost 1400 words
      • Levers to grow a business (via Patrick Cambell, CEO of ProfitWell)
        • User acquisition – blogging, product via word of month
        • Monetization – pricing, how often to charge, how to upgrade, paid plan, etc
        • Retention – how long do people stick around
    • Pricing strategies: haven’t tried freemium
      • SaaS, thought about – started initially at $2/mo (cheapium)
        • They’d have to chase people for this
      • May be a good time to try again – never set it and forget it – should be able to charge more for it
      • Tried to charge based on people as what they thought it was the business / how much willing to pay / user base
        • As they figured out the market niche, they landed on the best to target
    • Having monthly goals and try to develop features or business things to help achieve those
    • Hiring – her never being a manager
      • Helping people do what they’re supposed to be doing and supporting their jobs
      • Openness as key – working together much of the day and being on the same page, feeling good
      • They do 3-4 meetings a year
    • For 1-2 years, they have quite a bit they want to build, features to grow bigger
      • Can see Canny working for larger businesses that have reached out – catered to small/medium-sized so far
      • Giant impact with very small teams
  • Amir Haleem (@amirhaleem), founder / CEO of Helium (talk on AVC / USV port co)
    5xvzlvyv_400x400

    • Former esports champ in 90s, during dial-up days
    • Dial-up days – most competitive time for internet access, separation of those that provided services
      • US Robotics for modems, ISP like Speakeasy, telephone co like Verizon
      • Once internet got adopted and page loads enlarged, they merged
    • No option to use dial-up, cable appeared – “Internet got terrible”
      • Cable provider merged with ISP – physical lines vs provider
      • Comcast in SF as his example – local loop – LLUs – similar to telephone providers originally
    • Google Fiber – became extremely challenging for them to dig – cities wouldn’t let them dig, so they converted to wireless
      • 75-85% of customers use whatever the cable company gives them
      • Hardware in home – LoRa network or “sharing” hotspots to clog networks
    • Cellular market as too expensive soon, maybe contraction
    • Net neutrality – internet access as common carriers (2015)
      • FTC won’t mandate to cover common carriers
      • Net neutrality was only rules that were in place to rule against – until it died and how we govern ISPs
    • Cool companies in the decentralization of the internet
      • Orchid: tor-like system and rewarding nodes
      • FileCoin: store files anonymously, encrypted and hashed out
      • Brave: forced https and ads blocked, Tor as tab version
      • Helium: how to decentralize wireless links to base, especially with 5G and unlicensed spectrum
        • Blueprint of mesh of open technologies owned and operated by those that own and use the internet
    • Helium: IoT of low power sensors, tracking devices, network devices for access by others
      • Fundamentally do it and reward people with coins for holding it and for others to use it
      • Talking about using applications for the IoT world
        • mentioned the fires in NorCal in ’18 and not being able to tell the air quality within 20 mi radius
        • IoT seems to be ripe for improvement but hasn’t seen the network yet
  • Dennis McNannay, CEO & founder for Curadite, Inc (Wharton XM)736x196xcuradite-logo_long_gry.png.pagespeed.ic_.gqdo0yxdcw

    • Bioscience focus on medicine adherance

Unapologetic You (Notes from Sep 9 – 15, 2019) October 25, 2019

Posted by Anthony in Digital, experience, finance, Founders, global, Hiring, Leadership, marketing, medicine, questions, social, Strategy, Uncategorized, WomenInWork.
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Every Sunday morning comes in The Profile newsletter to my inbox. It’s a great collection of what drew her eye on the week that focuses on profiles for individuals, good, bad, successful, unsuccessful, notorious, secretive, dangerous and generally people of all ilk. They’re almost all interesting, some more so than others. But yesterday, it caught my eye when Polina introduced the newsletter about her personal experience growing up and the first convention of being different. In reading it, I could see a bit of the problems and commonalities in many students I have seen over the years. And more than that – the ones who I’ve had the most enjoyment in teaching – were those that were unapologetic about who they are.

Many, as kids, were still working through it, but they were questioning the very thing Polina had described. And that’s of increasing importance as we get larger and larger webs of interconnected communities. The aggregate and the averages tell us how we should be or what you’re expected to score and how you fit relative to the rest. Rarely, if ever, does the crowd define any/every individual, though. The sooner we can all wrestle with that concept, the more comfortable we should be. Starting and doing a newsletter, for instance, should be as simple as writing what interests you. Yes, as it resonates and draws others in, there may be some curation to optimize what you decide to make it. And further, it’s probably good form to have some consistency in producing it (frequency/length/formatting) but that’s up to you, the individual.

I’d like to think that people want real, genuine thoughts, and less gimmicky writing. As an aside, that doesn’t mean people don’t consume if it’s not genuine – I just would venture that as soon as you break the mold on what APPEARS real (if actually not) would cause an uproar – as we see via YouTubers/Twitch streamers and even in some blog/vlog stuff. An act that is an act has an end, but an audience doesn’t then know what it’s getting. People don’t typically like change if it’s different, even if it may be “better”.

The best part of all of this? You get to choose what you want to do. Make the decision that makes you happiest and assess the aspects of your life that don’t. From there, create and prioritize how you may make the changes that lead you in that direction.

There are many people that I listened to over the course of this week.

  • Jen Stirrup (@jenstirrup), Data Whisperer  & created consulting Data Relish (Data Skeptic 9/6/19)
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    • Deploying data science and impacting businesses
    • Last mile of analytics problem – interesting work and how to finalize to take to production
    • Cleaning data properly, putting data into dashboards for proper business intelligence – how long does it take to get to reports?
      • When you get reports, how long is your time to question (vs time to answer)?
    • She takes them a health check and tries to check out where they are vs where they should be
      • How clean is data, what are the real problems
    • Microsoft doing ML Ops and how it can fit into support, how to look after something when it’s gone live
      • Humans don’t want to appear stupid, so they want to be correct before starting
      • Start with end in mine: what are you trying to do?
      • Think about quality of data: still sees bad, missing data, incomplete data and things that they don’t use
    • ML Ops examples of solutions – email management, how do you manage it
      • Program can reach the end bound email, what it can do with the email (cs dept with automated service and pass hard emails to people)
    • Good customer success can be a chat bot – limited and what it can do but proper
      • Easing productivity issues – maybe tell me your phone number or putting in information to the chatbot to the crm
      • More and more requests for serverless technologies – spoke to university about container technology
        • Research can give the container with the paper and give to someone else to validate it
        • REST APIs or serverless or others can glaze over eyes if talking to business but others, early adopters, jump on it
  • Natalie Hampton, Founder/CEO of Sit With Us, Inc (Wharton XM)
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    • Talking about not having any background in coding, her art teacher pushed her to pursue it
      • Wanted to build the app and just found people/classes
      • Bullied and her art teacher was the one who would keep her door open for her
    • Pledge to use the app – figure out that adults were using the app, as well
      • Good for conferences, schools, colleges, workplaces

 

 

  • Henry Ward (@henrysward), founder & CEO of Carta (20min VC 4/12/19)
    carta

    • Carta helping private, public cos and investors manage cap tables, investments, and equity plans
      • $147mln in funding from K9, USV, Spark and Meritech
    • Originally tried a version of Wealthfront and Betterment called SecondSite – never got off the ground
      • Met Manu, who introduced problem for financing infrastructure easily in private companies, providing liquidity and power
      • Noticing executive half-life of about 18 months (say, $20mln – $70mln – then again from $70-200)
        • Companies scaling from 150 to 500 and then after that
      • People scaling linearly but companies scale exponentially
        • If an exec isn’t scaling, they don’t say “Let’s hire a VP of FP&A to support execs weaknesses” but instead “Let’s replace CFO”
        • Why is it true? – Any particular problem in scaling a company, can find someone that’s done it before.
          • Founder is keeper of the mission – can’t replace that but job changes a lot more
            • Smaller, personal relationships and people understood him for best intentions (but he’s a gunslinger and off-the-cuff)
            • Less mulligans for him as they’re larger now – Jeff Lawson at Twilio had ran into someone for printed t-shirts and Jeff said “not a fan of color”
          • His job becomes very specialized – story for employees, candidates, investors and press; 2 – right execs in right place
    • Was sole decision maker in early stage and he still is but he said it was a liability
      • Fewer day-to-day decisions to make but it matters more that they get it right and understand the context
    • Investors thinking of markets in terms of size / how big could it be / what’s competitive advantage
      • Happy going after conventionally small sizes but he looks for 1 of n – microstructure economics / territory will support multiple competitors
        • If you win market, creates a defensive ability and that’s n of 1 – 1 platform (as ‘small’ cap tables)
        • By owning a market of 1, you have the platform to dominate others
          • Markets were too small – any market would run out of oxygen, so you need an org that can go further in places
        • Data network effects could block all other entrants
      1. Have to be n of 1 market
      2. Have to have a business model that creates n of 1
      3. Needs innovation on customer acquisition model to quickly take over market share
    • In b2b – do you have a product that gives entry to commercial businesses?
      • Product and technology advantage are short-lived – best companies own lines of distribution, not great products repeatedly
      • Can go acquire great products and push them through distribution – both through M&A and through manufacturing
    • Their biggest issue – tying all pieces of network together – 10k companies, 400 a month acquired, distribution to vc – managing electronic stock
      • Law firms are power users of product but don’t have product that tie them all together – linearly
    • They love services markets adjacent to what they do – commodity product differentiated by brand – funded administration, for instance – 4-9a analysts
      • Paired a product team behind services group so the 4-9a runs at 70% margins – automate them to software
    • Goal of R&D is how much value can you provide – go build it, otherwise they won’t
      • Of value created, how much can be extracted – like keeping them as independent variables (when to extract)
        • Early stage, add ton of value and then deliberately say they don’t want to extract much – leave a lot of consumer surplus
        • Investor products: want to extract a lot of value but provide a lot of value and change these decisions (as markets mature, get larger)
    • Favorite book: Essays of Warren Buffett
    • Economic discrepancy is enormous and how to bring wealth to more people – Carta mission for more owners
    • Keeping investors up to date monthly and they love getting board members involved in the company (especially when they have 100 investors)
      • Meeting with VPs or execs to do weekly meetings of sorts
  • Joe Banner, President & CEO for Browns, Eagles (Wharton Moneyball)
    • Discussing needing to find udfa at a time when it wasn’t sexy – needed talent, and cheap
      • Only had 5 draft picks, late rounds mostly but had to fill a roster of 22 more
      • Brought in all of the undrafted free agents and eventually had 20% playing, few starting also
    • Making sure to prioritize talent over anything, not overvaluing high draft picks
    • Culture of change with placing a system around high valued guys who others thought were low value
  • Alina Trigubenko, Founder & CEO of Awarenow (Wharton XM)
    awarenow

    • Holistic and integrative nutrition
    • Corporate and enterprise customers – consumers within those that will do it
    • Calm / Headspace – next level and how
  • Shawn Burcham (@PFSbrands1), PFS founder, Open Book Management (Wharton XM)
    pfsbrandsonlylogo_hompage_2018

    • Being from the midwest and going to Tanzania for farmers
    • Keeps open books, shares with employees, prices with farmers
      • Has 60% more return for farmers and will even return cash (after being above fair price and world commodity)
    • Daughters played on same soccer team as John Sacks – read the book and was interested in changing to open book
  • Tim Chen (@timchen82), CEO of NerdWallet (Leadership in Action – Wharton XM)
    nw-default_og-image

    • Going through board – including AMEX former CEO, Jim (both from Series A investors)
      • Board as governance body, weakness on exec team, okay with level of risk
    • Initially believed he had to be smartest in the room but quickly realized the organization had to be working together
      • Have to switch mindset from point guard to coach – from Dalio
      • Investment committee – reasoning behind requests and resources, exec team reads through it and approves or not
      • Executive team depends and changes over time, common for product dev
        • Marketing, Product, Design, Legal, Eng, People, Content Heads
        • Monitoring (leading exec team similar to parenting) – irrelevant for what you say, but seeing what you do is the arbiter of what’s going on
          • Rewarding and punishing as consistent or constructive
        • Culture for what is okay and what is not, role of hiring and inspiring an adequate team to grow company
          • Maybe they don’t have right network for company, maybe can’t inspire
        • Have to be technically proficient in their space
    • Went from very niche product to being widely known once they started covering nearly all financial products consumers cared
    • Seeing around corners to bring himself and the org up the hill and grow
      • Surrounding himself with execs and others, getting named one of Top Workplaces in 2019
  • Adam Davis, CRO at Harris Blitzer Sports and Entertainment (Wharton XM)
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    • Discussing on-ice and on-court revenue for Devils and Prudential Center
    • Coming and expanding Prudential Center into what it is now – leading entertainment center
    • Up to 49 concerts recently, more than Devils games
      • Data driving who wants to go to games, concerts and how that can be used to improve experience
  • Rare as One Project, CDCN, Dr. David Fajgenbaum (Wharton XM)
    logo-1

    • Partnering with Chan Zuckerberg Initiative
    • Collective network and how do you widely adopt principles for other diseases
    • Partnerships with hospitals / care providers
    • Having a different background between Penn and medicine, MBA – not great for those that don’t have 5+ years
  • Nick Johnson (@NLJ1), Principal at Applico (Wharton XM)
    applico_company_logo

    • Author of Modern Monopolies
    • Discussion of platform businesses and linear – trying to combine
    • Encouraging linear businesses to, where applicable, try to get into platform business – didn’t provide any concrete details how
    • 3-5 strategies compared to 5-7, where hard for CEO and board to stay the course without “being 1% of 1% of CEOs”
    • Seemed to only mention Amazon, Airbnb, Walmart, Alibaba, ebay
  • Kulveer Taggar, founder & CEO of Zeus Living (20min VC 5/31/19)
    volcp38g_400x400

    • Raised $14mn from Initialized, NFX, Floodgate, YC, GV and Naval Ravikant
    • Co-founded Auctomatic with Stripe’s Patrick Collison and sold for $5mn
    • Angel investments include Boom, Airhelp, Meetings.io
    • Went to work at Deustche Bank and had a friend who had started a company at 15 selling computers, went to uni and offered a PR role
      • Eyes open to entrepreneurship and SV tech start-ups, just before finals got to come to Bay Area and Google office
      • Cofounder Joe was moving from SF to Palo Alto because his wife got residency – took weeks to try to get home rented out
      • What would be the UX quantum leap for your problem? Joe’s problem sparked the idea
    • Go to website, type address for your home and it gives you a price – you hit rent
      • Inspired by Opendoor, Stripe’s 7 lines taking payments, lot more rental data
        • Offer to sign lease with homeowner, gain data and solve the problem on demand side
    • All being impatient and learned that long-term horizons could’ve been better after hearing Zuckerberg/Bezos
      • Being intentional with culture – lot of fun – 5 guys in 2 br apartment where things may have gotten too far
      • Create collaborative environment
    • When you rewrite code, have to redo processes as well in tech-enabled
      • Acquiring and creating physical things – David Han at Instacart said thinking about output
        • Surface area of inputs: Zeus has to be good at many things
          • ID R/E, Pricing, Assessing, Designing, Furnishing, Marketing, Awesome CX, Marketplace matching
        • Then, you can get the output
    • Garry as having a conviction quickly – sees something that can change and invests quickly
      • CoinBase – liquidity crunch and he wired money instantly and is supportive
    • YC had an experiment funding teams w/o ideas – did it with Srinivas who’d done it
      • Got a check w/o any idea (had done YC in 2007) and YC had scaled a lot
      • NFC technology – was too early for scaling pmf and got into NFX with status app – status on your phone
      • Felt like he’d spent 3-4 years of working on stuff and hadn’t gotten anywhere – taking market risk with what you’re building
        • Instead, create a list of top 20 things by $ amount spent
        • List of top 20 things by $ amount frequency
      • If you have to ask whether you have PMF, you don’t – yanking your head forward with your nose, for instance
    • Did 6 weeks of data experiments, conversions tests, 6 weeks of qualitative research talking to users, investors and r/e
      • After 2 months of diligence and testing, partner at NFX sent him a test: In 6 weeks, get 10 homes on your market.
        • What’s margin structure, is there a market? Strangers controlling home.
      • Took about 4-5 months
    • Vulnerability strengthened his leadership, can’t be perfect CEO with all answers – motivated to go for culture
      • Once a quarter off-sites, “if you really knew me…” building stronger connections, team bonding
      • Work is where you have your professional self and you bring your whole self, manifests in itself
    • Fav book: Midnight’s Children – historical fiction with India told; How The Mind Works by Pinker
    • Change the bragging culture in tech – raised this much, vanity metrics and being counterproductive – not open or genuine
    • Running into a bottleneck will use software to break through – automate something that may have been manual processes
  • Michele Romanow, Founder & CEO at Clearbanc (20min VC 5/10/19)
    • Wants to spend $1bn in 2000 companies for access to capital
    • Founded SnapSaves, mobile savings platform acquired by Groupon and before that, Buytopia, one of Canada’s top ecommerce sites with 2.5mn
    • Engineering, started a coffee shop on campus
      • Figured out worldwide supply sturgeon caviar was down by 95% due to overfishing Caspian Sea – built to east coast for fishery
      • Chefs couldn’t get product, so they had a ton of buyers – giant recession in 08 as 21 yr old in luxury good space
        • Went to ecommerce space, didn’t raise funding, bought 10 competitors – controlled CAC and low
    • Canada’s Shark Tank – Dragon’s Den – do 17 days of filming back-to-back, see 200 startups
      • Had a father and son who wanted $100k for 25% equity – really needed $100k but realized she could do different deal
        • Wanted to see Facebook ad account to make sure ROAS was what it was
        • Companies spending a ton on early CAC
      • Estimate that 40% of VC dollars go to Facebook and Google ad spend and marketing
    • Works for positive unit economics and spending a lot of CAC – any ecommerce company, 70-90% spend cash
      • Subscription boxes, consumer apps/subs, b2b box even – can fund it for way less
    • Data science time has to be very good – not lottery tickets, 6% is ideal for them
    • VC as true risk capital – 0 to 1 risk, crazy piece of AI, solving disease, then it makes sense
      • If you know channels are working and repeatable, should be able to get capital
      • Comparison of Gates at Microsoft IPO or Lyft (50% ownership vs 3%)
      • Just celebrating when founders give up control / piece of company
        • Milestones for products, hitting 1mln users, etc…
        • Funding
  • Antonio Garcia Martinez, author of Chaos Monkeys (Launch Pad, Wharton XM)
    • Comparison of Seattle and SF and NY
      • SF being loud, Seattle being quiet but not necessarily huge, NY has less loud but big
    • Good mixture of deciding where to be

Fun Founder Stories (Notes from July 29 – Aug 4, 2019) August 21, 2019

Posted by Anthony in Automation, Digital, education, experience, finance, Founders, global, Hiring, Leadership, marketing, medicine, questions, social, Strategy, TV, Uncategorized, WomenInWork.
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Starting with a discussion of Neuralink (Musk’s… brain-child of a company for neural lace) and how it reminds the a16z crew of invasive compared to non-invasive surgeries / medical tech. How did TikTok vary itself in the social space and explode in popularity? Harry Stebbings of 20min VC had been going on and on about HiringScreen and finally had the founder on which was fun to hear. Richard’s origination story for the company and his path that he took was fascinating.

Then I happened to listen to a few different shoe companies with founders on serendipitous and creative stories. One traveling to a new and different country and absorbing the culture to his story. The others, seeing a problem that seemed to arise and noticing there should / could be a solution. Then catching breaks for each of the 2 companies – including the bootstrapping and doing it on their own as something that was fun enough helping people solve those problems / be happy with their footwear. I strongly suggest looking at Sabah shoes for men’s drivers-ish and Birdies for women who go to parties where they may need slippers or comfortable everyday ones.

E-sports and digital discussion for a16z was fun in how society is adapting to digital experiences or how they meld entertainment. For those that don’t think esports may be viable, it’s easy to argue in the cases where they watch reality tv or even game shows (which have been around since tv). It’s just changed how we consume and perceive it as interactive live games vs recordings. Also, malls that are less successful or in areas have been able to take advantage of the space available.

Vivino’s CEO joined and talked about how he is trying to socialize and give people options in the wine space – which, let’s be honest, is always a good thing. Goldie Chan discussed filling the gap in an employment by consulting, by accident, nearly. She turned it into a full pivot consulting and has taken advantage of her great skills at marketing. Hope there’s something for everyone!

  • Neuralink & Brain Interface (a16z 7/21/19, 16min on the News)
    1200px-neuralink_logo.svg_

    • With Vijay, Connie Chan, JPM
    • Announcement of neural lace – culture sci-fi by Ian Banks – processor & sewing machine
    • Non-invasive vs invasive (femoral artery all the way up to the brain)
      • LASIK as invasive / dangerous (still even, but now much better, accepted)
    • Announcing in rats and in monkeys now (surprising his president)
    • TikTok as 3rd most dl app behind WhatsApp and FB Messenger, 1.2bln MAUs – having huge influence at VidCon
      • Sponsored by YouTube but TikTok had a large presence, the ban in India
      • Short, 15sec videos – 1 hit piece can trigger enough people
    • How would they make money? – ecommerce, restaurants, retail – short videos for ads/commercials
    • FaceApp – probably nothing to worry about – unless high profiled public official, NatSec Space, leverage
      • Someone getting negative information or leakage – accusations of the country in general is silly
      • Countries consider privacy differently – in the US, convenience / UX will trump privacy for 15min of joy
        • Europeans, Germans, Italians for instance are more private
    • iHeartRadio announcing direct listing – before, emerging from bankruptcy or spinning off
      • Repurposed after Spotify / Pandora
  • Mobile malware and Bipartisan drug pricing (a16z 7/28/19, 16min on the News)
    • With Martin Casado, Jorge Conde, Jay Rughani
    • Monacle as mobile malware – March 2016 Android-based application
      • In security, netsec and endpoints – protecting desktops, for instance
      • Attacks phone with 2FA, even, and less secure
      • Can take calendar event, account info and app messages, reset PINs
    • Drug pricing – Medicare Modernization Act – why can’t Medicare use its purchasing power to negotiate medicine prices?
      • Part D – Medicare covering prescription prices, prevents HFS from negotiating any part of the value chain
      • Price of insulin where they get price hikes – new therapy gets $2mln for cures (R&D) differences, conflation
      • Price of successful drugs have to make money for drug and all of the failures
        • Counterargument – US subsidizes R&D for the world
        • Complex industry structure: manufacturers, distributors paid to move drugs through channel
          • Pharmacy benefit manager – who is eligible, who’s not – what are drugs for conditions and prescriptions
            • Helps insurers who gets the drugs – takes an economics layer
          • Insurers reduction drug spends, for $1 spent, manufacturer gets a small %
      • Dropping from $8k to $3100 out of pocket
        • Cap by tying to inflation (for growth) or annual price increases
        • May start higher prices because you can’t increase it much
    • Chain is not transparent, but also complex – tech can have an impact but needs help from policy to drive out some inefficiencies
      • Free market works if there’s transparency – what is a medicine and can you make it fair enough for everyone
      • Current system is not set up for the new medicines (extending life from 10 years to a cure)
  • Richard Hanson, CEO & cofounder of HiringScreen (20min VC FF028)
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    • Founded in Hong Kong in 2015
    • Studied law in Cambridge, did 11 years recruitment consultancy in London before moving to Hong Kong
      • Then created his own recruitment firm – had his own looking at 196 cv’s for an EA for someone
      • Score, sort and select candidates
    • Tech advances in recruiting industry – job boards and sourcing is at all-time highs
      • Barrier to application is all-time low but have too many to look for (especially manually)
      • Psychometric and phone facility stuff to find relevant candidates – get on with themselves
        • Go through rest of funnel to invest in the process in more efficient manner
    • Had always wanted to live in Asia – pretty exciting, bullish for Asia in general
      • Hong Kong, Singapore, Japan as hubs
    • If you have an idea, try to find someone or go ahead and do a view of what it may be executed on
      • He had the idea, went to his cofounder Luke (better at project management side)
      • Prototyping mockups and getting through the first steps efficiently – may hit a dead-end a few weeks in
        • Validating idea as soon as possible – customer or problems for people (heads of recruitment firms for his problem)
    • Making an effort to code or understand a bit of the UX (in his case, CSS and HTML to understand a bit)
      • Compared to languages in a foreign country
      • When his CTO introduces people, he wants to be confident about what the developer has been doing and understanding their past
      • His responsibility to show an effort/commitment in the job role
    • Looking to raise a round – HiringScreen did it in 8 weeks
      • Competitive slides, why you want to raise, how to convey mission statement, skill and productivity gaps
      • Understanding his potential investors, as well
    • Accelerators – choosing the right ones? He’s with the Blueprint Accelerator by Swire properties
      • B2B focus, no equity in startups – working space and Swire network of companies (conglomerate of different co’s in verticals)
      • Sponsored him and tried to help advance the company by talking to other HR talks
      • Mentions Brinc as hardware accelerator near the top
    • Idea of equity early on would depend on your assessment of what the startup needs?
      • Super low cost – accelerator with working space?
      • Product but proven use case – Blueprint to trial product and test it
      • Balance the need with the equity they’re taking
    • The Alliance book by Reid Hoffman for looking at employee and employer workplace, tour of duty principle
    • Brad Feld and Jason Calacanis’s blogs, Reid Hoffman as the most admirable founder – better people to take LinkedIn on
  • Jennifer Golbeck, College of Information Studies and Affiliate Professor at UMD
    • Talking about social media research, truth and justice
  • Carl Ericson, CEO & cofounder of Atomic Object (Wharton XM, Mind Your Business)
    atomic-object-wordmark-500x265

    • Grand Rapids, Ann Arbor software product development company and why he chose there
    • Sails at Grand Rapids Yacht Club
  • Bianca Gates, Marisa Sharkey, Birdies co-founders (Wharton XM)
    m_5a61f34b331627f3f88fe26b

    • Discussing how they started them and Feb 14 – when she landed an article with a SF Chronicle fashion correspondent at a dinner party
    • Driving up to the other in order to get all 2000 orders packaged and sent out

 

 

 

  • Mickey Ashmore, founder of Sabah Shoes (Wharton XM)
    sabahtwotone

    • Doing a 6 month project after Seattle in Turkey – turned into 2 years as the only non-Turk
      • Grew an affinity for the people, culture, food and trends – girlfriend’s grandma at the time gifted him a pair of handmade shoes
    • Returned to NY and beat the crap out of the shoes – wanted another
      • Reached out to the maker (current partner) and bought another pair
      • Ended up getting 5-6 in different colors, customized without the flip – people said they were awesome
      • Ordered 300 – could get 150+ and did a party to showcase them with cocktails, enjoyed hosting
        • Got 30-40 orders on the first night, decided to do it for the rest of the summer “Sabah Saturday/Sundays”
    • Realized it could be a business after in the summer he was making more from shoe sales than his NY P/E job
    • Expanding from 3-4 employees to 40 and expanding from a home to a warehouse – border of Syria/Turkey
      • Has a few key employees that are Syrian refugees – part of the brand and they showcase it on the site
        • Not branding directly, but definitely part of the story
  • Goldie Chan (@goldiechan), digital marketing expert of LinkedIn and actor (Wharton XM)
    • Discussing quitting her job and making a fake company while unemployed
      • Turned into a marketing consulting gig – had a few clients, had to create a company
    • Now doing talks and discussions
  • Kurt Seidensticker, CEO of Vital Protein (Wharton XM)
    ca400555-4bb7-4c66-a217-b5ac910cba73._cr5101107332_pt0_sx600__

    • Collagen and explaining to people how it was – getting some in to Whole Foods through them asking
    • Didn’t hit him until he was in Italy and 2 random women at a café pulled their Vital out
    • Did about 10 companies, 2 succeeded enough to pay for kids college and allow him the freedom
      • Was doing Vital during another company until it surpassed the other
  • Fortnite, esports, Gaming (a16z, 16min on the News)
    • 2 million concurrent livestreaming – not as big as GoT, for instance
    • With Andrew Chen, Darcy Cooligan (investing team on consumer)
    • Bigger prize pool for Dota 2, $3mil for Bugha’s win was larger than Tiger’s Masters victory
    • 10 years for Riot and League – still grossing billion, WoW / Runescape
    • Billions of video consumption between Twitch, YT (and now Microsoft Mixer)
    • iPad can play Fortnite pretty well, for instance – massive multiplayer opportunities
      • Instagram and this generation for coming together as people – Minecraft/Fortnite
      • Gaming and cultural zeitgeist to hang out with friends
    • Sonal did a fight with editorial desk and had seen it for a profiling in 2013 – argued it was similar to sports
      • Big business and much of the same thing – management company, played 2+ years for 6-8 hours, sponsors, fans
      • Performance entertainment and personality-based
        • Comparative for game shows – other people answering trivia, reality tv
    • Strong incentives to keep games going – user-generated content
      • Established player leading way to user-generated thereafter
      • For Fortnite, building levels (similar to mods and mod community in Minecraft and Roblox)
    • Games stadia for esports and digital dualism (in real life compared to virtual – game is the bridge)
      • Malls building areas for this part
  • Chris Tsakalakis, CEO of Vivino (Bay Area Ventures, Wharton XM)
    aws_vivino_logo_600x400.cb594b3d79815eece9e8c685a7b8d043b7910b95

    • Having users and getting customers – at least 1 employee in each region where they sell
    • Mostly in US, Europe – hq in Dublin
    • Bunch of users in Asia / South America (Brazil, specifically), but don’t sell there yet
    • Not taking VC until more recently

Idea Conversion to Algorithms (Notes from July 22 – 28, 2019) August 14, 2019

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There is quite a bit in this week’s notes to unpack. Most of the stories and experiences provided by the guests, though, premised around testing a hypothesis or quickly trying to solve a problem in a manner that, once validated, could become much more efficient. When trying to make the solution more efficient, whether data or AI-driven, then further questions have to be asked to ensure a proper, scaleable and ethical solution. Lauren deLisaColeman discussed the ML application ethics and what guides them. Karim Galil observed that patient history was stodgy and doctors weren’t in to new things that could save them time because of the catchup time. So he had to produce a solution that could be effective immediately and worth giving back doctors time – he chose oncology to do it in.

Alyssa Dineen discussed profiles as well, but of the dating variety. There were more ways to screw up than attracting attention. At first, she could do it manually before realizing she could improve the work she did and make it better for both business and clients. Khartoon at Spotify talked about how they started at Spotify with freemium model and the streaming aspect before connecting that with all of the data to their corporate and enterprise partners. In turn, the two-way data sharing enabled them to pivot nicely to provide more value and eventually into a paid model that helped the business. Lastly, Max Bruner talked about his hell of a journey where he eventually landed at Metromile, but not before building Mavrx in the best form of dirty solutions – cameras from planes. Then realizing what could be attached and automated to be a full provider to farmers in much of farmland US and improving it. Quite the product path.

Curious about this concept for much of college / graduates.
Idea possibly worth pursuing – saw post on similar idea. Fake VC – take seed or series A opportunities, combine with data plan (via other post). Have various students make their opinions on what to seek, whether funding was good. How to think of next steps? Make action plan, but templated and maybe try to get an argument. Podcast/videos presenting either side. Try to talk to startup that received. Good sourcing examples, data (limited) problems, industry seeking.

Hope you enjoy the week’s notes and check everyone out!

  • Lauren deLisa Coleman (@ultra_Lauren), Digi-cultural Trend Analyst (Wharton XM)
    • Forbes contributor, discussing AI and ethics of ML applications
    • Who makes the rules – is the data guided?
  • Karim Galil, Founder of Mendel.ai (Wharton XM)
    mendel-logo

    • Working in Egypt initially, wasn’t in Cairo but started in Sinai – beach and did surf/kitesurfing lessons deal
      • Talent was not as abundant, but did a project with Pfizer, Dubai government and others
      • Egypt had free healthcare but hospitals couldn’t pay for procedures that may have been experimental – trials would allow it
        • Wouldn’t hear about trials until it was too late in his oncology rotation
    • Observed that you could have a dating record online and perfect match, but not catch up on papers in context in industry
      • Had to start somewhere – landed on oncology – wasn’t a junior vs senior thing – few doctors had the time
    • Losing patients to cancer and messy medical records – trying to improve the healthcare industry
    • Can get a bunch of oncologists to drop everything and work as data scientists
      • Cheaper in Egypt and feasible – fair salaries to do this
      • In the US, very unlikely to happen as oncologists are far above data scientist salary
    • Medical matching service – AI-powered to do trials for language content
    • Paying ~30 employees, where 15 of them are oncologists
  • Alyssa Dineen, Style my Profile founder (Wharton XM)
    style-my-profile

    • Personal stylists online and in NYC
    • Wanting to expand – mentioned Forbes article and expanded 3x
      • Mostly from out of the NYC area
      • Would love to open LA, SF, Chicago, most urban areas
  • Daniel Korschun, assoc prof of Marketing at LeBow Drexel (Wharton XM)
    • Marketing and branding for Kaepernick’s Betsy Ross argument
      • Nike blew opportunity to turn the flag into a very big positive – “Unity” or 13 civil rights activists
    • Owning the branding, making sure to keep it different
    • Making statements or seeing both sides can attribute your opinion without actually doing so
      • Being “informed” by museum after making case for both sides
  • Chandra Devam, CEO of Aris MD (Wharton XM)
    arismdlogo-tealrevised

    • Discussion of iTech NASA competition with Star Trek-surgery
    • A/R and V/R applications – board with the tech
  • Rachel Glaser, CFO of Etsy (Mastering Innovation)
    sell-jewelry-on-etsy

    • Search algorithms to increase sales
    • Etsy as vintage space – defined as 20 years, or handmade materials or put together
    • Have to stay ahead of counterfeit and trends

 

 

  • Sitar Teli (@sitar), MP at Connect Ventures (20min VC 12/30/15)
    ll9ofnkowyknor16pe7t

    • Doughty Hanson Tech Ventures, series A round in SoundCloud
    • Dual degree in MechE and Econ from Duke
    • Taught English in South Korea for a year, 3 years in IB in US – Broadview (M&A, tech focused)
      • Enjoyed working with the companies but not the banking side – best part was to hear how companies started and early days
      • Hadn’t considered London in 2005 when headhunter had reached out
    • Gaming, fintech, music & content, adtech where Europe is producing big, growing companies now (2015)
      • More cross-pollination of entrepreneurs going back and forth or partnering with others
      • IB moving into VC – different perspectives for her 2 other partners
    • Starting a new fund – “one of worst startups you can think of” – competitive against established funds
      • Build brand, reputation, product and designing it (not just money but experience) – how to work with the founders
      • First year – founders aren’t necessarily eager – want a seriousness that came with business cards
      • Allocating $100 – she’d do $90 to the portfolio and investments, $10 to rejections and focus
        • For No’s, make it quick and even in the meeting or cut short
    • Looking for companies
      • Founders that really understand the market they’re building for – how passionate, how much time to understand, experience
        • CityMapper founder – public transport and how they move through the city and how it can help
        • Stockholm-based Oxy – music creation app (prior at SoundCloud) – digital music tech, digital to greater number of people
      • Founders on a mission (other than $)
      • UX-focused and at the center of what they do
      • As an aside, whole lot of $ (maybe at seed) but it’s not the only bucket – ecommerce, adtech, depending on what founders are
        • Thesis: investors can dictate the entrepreneurs and align them
    • Crowdfunding alongside VC – many biz don’t need venture capital but do need capital
    • Amazing Adventures of Kavalier as book
  • Khartoon Weiss, Global Head of Verticals at Spotify (Wharton XM)
    open-graph-default

    • Starting with the streaming service as free and eventually getting into freemium / subscribers
      • Providing value to users and charging for it
    • Analyzing usage data from subscribers and free users to personalize the experience for listeners and serving brand partners
    • Core value of giving creative artists the opportunity to live off their art
    • Advertisers will see data in events that drive music playing
      • For example, an eclipse occurring will produce more song plays with eclipse themes – can drive user advertising for it, connect brands
  • Max Bruner (@maximusbruner), VP CorpDev at Metromile (Wharton XM)
    metromile

    • Talked about Mavrx, geospatial and agtech company
      • Flying drones and then planes over farmland to assess and improve efficiency
      • Didn’t have the initial equipment when they went to South Africa (needed data during US’s winter)
        • Had pilots take their cameras, IR and others
    • Most of clients were in the midwest – eventually sold to various parts of the vertical
    • Attended UW-Madison in econ and Arabic – did a year abroad between Egypt and Qatar (at the time, nice and hadn’t been through revolutions yet)
      • Felt like something was missing so returned to DC where he worked in the DoE under Reinvestment and Recovery Act

Universal Laws: Parkinson’s Law (Notes from July 15 – 21, 2019) August 6, 2019

Posted by Anthony in Automation, Digital, experience, finance, Founders, global, Hiring, Leadership, marketing, medicine, questions, Real estate, Uncategorized, WomenInWork.
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I included in my thrice-weekly newsletter the blog post by Morgan Housel espousing some of the most common universal laws of our world today. Once you know of them, it’s tough to not consider them in your everyday life. I’ll be honest and say that I hadn’t heard / didn’t know the name or origination of a few, including Parkinson’s. However, I wanted to comment on it because of its commonplace position on my timeline (and in the way I generally price much of my consulting work).

Parkinson’s Law: Work expands to fill the time available for its completion.

ML and apps – attention. Phones and apps have stolen hours of attention over the last 3-4 years (Wharton XM blog) — 3 hours to 4+ hours for the average, now

How do they squeeze in more DAILY? Work efficiency, likely. Most probably don’t have 8 hours of real work – ask anyone. What do we think the % is? I understand there are roles that probably see a full day a few times a week or in certain weeks (looking at you, auditors/accountants/finance/strategy/consultants) where projects line up or during busy times. Even retail / seasonal / cyclical has busy seasons – boosts that require full focus. But generally, not.

Work time vs value – if you can finish a project in 24 hours, charge more because the allowable time outside of that is higher or do you take the full time or project out for time in case of a problem / feedback / there? See: consultants working with a client, maybe a new client? Value = price but want to keep them. Can’t do too low. Can’t go outside of the range. Sweet spot of pricing and expand the time. Expensing to look like the time is filling. I can’t knock any firms taking advantage of this, especially when most have derived the business model from value creation, but it does seem that as time goes on, keeping that price premium and time valued becomes less of an advantage used for good and merely an indicator of what they should bring.

Time will tell for those that hang on the longest. Hope you enjoy the notes.

  • Cynthia Muller, Dir. of Mission Investment at WK Kellogg Fdn (Wharton XM, Dollars & Change)
    • Discussing consulting and the people or culture parts (@cynmull)
      • Merger where everything, paper and number-wise, looked like a perfect match
      • Failed miserably – many of the top producers were unhappy and the merger allowed them to leave easily
    • Satya Nadella at Microsoft reimagining the purpose – got to everyone PC-front but had to overhaul
    • Measuring people – upper quintile in survey of 500k employees (~500 companies) – middle management ratings of purpose
      • 7% YoY performance over others – not lower or upper – middle management was determining factor
  • Scott Kupor (@skupor), MP at Andreesen Horowitz (Wharton XM)
    • Discussion of becoming full-shop, including investments and RIA
    • Value add other than capital is very important to him
    • Tries to make decisions and No comes with why?
      • Sometimes they are wrong, see founders again and some have come back with addressing the reasons “no”
    • IPO extensions to 10+ years vs 6-8 – private and liquidity-driven
      • Discussed employee needs as a big reason for why it will stay 10-12 and not increase
      • Can’t compete with Google or others if you aren’t liquid
      • Early on, private companies aren’t worried about that with the people that can take the risks
    • Secrets of Sand Hill Road book, going through that
  • Brian Kelly, co-founder of The Points Guy (Wharton XM)
    tpg-primarylogo-color-28129

    • Selling to Red Ventures – taken private recently, also
    • Partnering with hotels and airlines to build an app in Austin – connect accounts, personalized, direct to airlines/hotels
      • Make it easier and hopefully change it for the better consumer experience
      • Turning it into a tech company moreso than a media one
    • Blogging initially, leaving Morgan Stanley – consumer-focused and not driven by partnerships
    • Only takes credit card partnerships instead of airlines or others
  • Benito Cachinero, Senior Advisor at Egon Zehnder (Wharton XM)
    egonzehnder_logo

    • Former CHRO at DuPont, ADP and leading succession processes
      • VP of HR for JnJ Medical, Corporate HR VP for MA Divestitures at Lucent Tech
    • Born in Spain, knew he wanted out at an early age
  • Eric Hippeau (@erichippeau), MP at Lerer Hippeau Ventures (20min VC 12/21/15)
    lerer_hippeau_ventures_logo

    • Chairman of RebelMouse, co-founder of NowThis Media
    • CEO in 90s of Ziff Davis initially as media company, the publisher of PC mags as well as conferences
      • Being in tech business moreso than media – sold to p/e firm before they sold to SoftBank
      • Before selling, they were about to be 2nd institutional investor in Yahoo but SoftBank made bid for 1/3 of Yahoo before IPO
      • He went to Yahoo Japan which allowed them to get a lot of source just due to the company
    • Sold business in late 90s, joined SoftBank as investor and opened firm in NY with them before his own
    • Backing company or business requires some business experience and growth/hiring and strategizing are all important
      • All partners at LHV have operating background – biggest difference is probably the time horizon (need really long view as VC)
      • Had just closed 5th fund, very satisfied with the work life instead of operating – running as a startup
      • $8.5 mln initially – no full-time employees initially, until the 2nd fund
    • First investments are at seed level, have always kept money in reserve for follow-on
      • 70% of co’s are in NY
    • Value add for LHV, generally – 2 levels of support
      • Product that is a technology platform that they plug everyone into
        • Recruiting and marketing database, best practices, current series A/B investors and what they’re seeking, Comms layer
      • Each company assigned to one partner and associate – bespoke plan and a to/do list for each company
        • Intros, branding, pricing, organizational structure and growth
    • Biggest problems for portfolio co’s – dependent on sector
      • Ex: SaaS: correctly size marketing opportunity for going after the right, big companies – largest/most important get a premium on the valuation
    • First check is typically $750k – $1mln – characterize this as collaboration between other funds
      • As long as terms are acceptable, let others lead or whatever is best when the companies are the best
    • Best pitch: what they’re looking for is the Big Idea – original, large market, tech-enabled, timing
    • Drone Racing League as public, recent investment: fantastic idea as drones are becoming more popular, variety of them, popularity of video games
  • Sumeet Shah (@PE_Feeds), Investor at Brand Foundry Ventures (20min VC 12/23/15)
    • Investments include Warby Parker, Birchbox, Contently
    • Grad from Columbia in 2008, biomedical and went to p/e through Gotham Consulting Partners (engineers at firm, diff industries)
      • P/E as two party system – deal team of firm and the client portfolio company
      • Lots of outside the box thinking, project work for 2 and B/D for 3 years
      • Met Andrew Mitchell who is the boss at Brand Foundry
    • July 2013 moved into start-up with friends with Gist Digital – help with bizdev
      • 6 months in, help with capital – Andrew reconnected – was offered a full-time job into vc
      • March 2014 was when he went full-time and after the first year is active – seed rounds, pre-seed occasionally
    • Paul and Sarah Lacey – series A crunch with tech/software/app-focused
      • Invested into Cotopaxi for $3mln seed round
      • Working alongside Indiegogo and Kickstarter and have invested in crowdfunding
    • Marketer, operator and technician and his due diligence takes between 2-4 weeks, typically
      • Take on doubles/triples compared to unicorn returns that are worth it – Eilene’s opinion to do unicorns
    • Believes over time that building reputation with doubles and triples, will stumble on a unicorn – those are the ones that can make the fund
    • Most value from investors – sign of weakness is not reaching out to investors
    • Different mindsets of East vs West coast
      • NY looks at building sustainable businesses, SV/SF is a $1 to a dream mentality (need this, still)
        • Want to look at revenue streams, traction, etc… but loonshots are ‘safer’ in SV
      • Founders as female-led – 7 of 13 of their investments have female founders and 3 of them are 2 co-founders female-led
    • No general people in the startups that may catastrophically fail in SV, so it’s okay for the funding to be gone
      • Bullish on TechStars Boulder, looking at ventures or accelerators that are growing in that region
    • Things A Little Bird Told Me as favorite book and most recent investment with LOLA – women’s biodegradable tampons
  • Carolyn Witte (@carolynwitte), co-founder & CEO of Tia Clinic (Wharton XM)
    z6kdoir2_200x200

    • Going from a tech AI program / chat – making women be comfortable with talking to a message
    • Before doctor appointments to after, and then having them bring her in with the doctors
    • How to interact – realized that they needed to complete the offering with their own clinic

 

  • Jessica Bennett, gender editor at NYT, “In Her Words” (Wharton XM)
    • Sympathetic attitudes and gender
  • Boris Wertz (@bwertz), founding partner of Version One (20min VC 12/28/15)
    4z_wfx6c_200x200

    • Top early-stage tech investor, board partner at Andreesen Horowitz, COO of Abebooks.com that sold to Amazon in ’08
    • 2005 named Pacific EY Entrepreneur of the Year
    • Internet 1.0 in 1999 – wanted to be apart of it – started JustBooks with some friends
      • Built it to Europe’s market leader and then sold to competitor AbeBooks before Amazon
    • Took proceeds and put into 35 internet and mobile companies – early wins, early exits and decided to do it professionally
      • First fund was $18mln
    • Power of bringing together customers across the world and finding the book – buyers/sellers in small marketplace with hard-to-find
      • Years and years of book fairs or local inventories that they were limited to
      • Passionate customer stories and being part of the company – personal way to see how marketplaces are important
    • Transportation vertical with Uber as unlocked in marketplaces
      • Mobile first, others – and their investments
      • “A Guide to Marketplaces” book by VersionOne
        • Precision for a thought that may have been in your head when you write – clarity
        • As supportive as possible to the startup ecosystem and how to impact entrepreneurs in portfolio or outside
        • What does VersionOne get excited about and how do they contribute or help?
        • 50 page guide put together for a framework and concise – depth but not overly so
    • Attractiveness of marketplaces
      • Fragmentation of supply/demand – more people on either side of marketplace, buyers/sellers
        • Buyers/suppliers sometimes want a monogamous relationship – doctors, cleaning personnel – don’t want to get someone new
        • Cab driver / uber – doesn’t matter who drives A to B as long as it’s safe
        • Transactional relationships vs monogamous
      • Size of underlying market, ebay grew from collectibles to all sort of products
      • Specific niche market – what is the kind of market you can address – specially-crafted goods
        • When he looks – lens of VC that needs a return, so needs to see a return on capital in 5-7 years
        • Operators can be great in this case because it can be very profitable, bootstrapped or friends/family money to get and grow
    • Demand or supply first? Any marketplace chicken and egg.
      • Depends on marketplace but once you have network effects, it takes off
      • Uber paying drivers to be idle just to have people in the area and have the supply
      • Addressing supply – how much to have? Hotspots.
        • Which transactions work really well?
        • Price point? Vertical? Certain buyer/supplier? AirBnb doubled down in NYC higher value rentals. Just needed that initially.
    • Trust and safety becomes more important after some attention – supply side with hobby sellers with a little bit of their inventory
      • Power starters are the ones that are stronger. Professional sellers.
    • Mobile first marketplaces and on-demand marketplaces excite VersionOne the most.
      • Services / products as on-demand (Fueling of cars, for instance)
      • Fascinated by decentralized marketplaces built by blockchain – will they ever make money but can’t generate money on own?
    • Measuring as VC: how happy are entrepreneurs, were ones that they met with taking away stuff, serving/help them and get feedback
    • Favorite book: Hard Things, Blog/newsletter – Fred Wilson’s
    • Overhyped: on-demand, Uber for X thing – underlying drivers for Uber’s success, for instance
    • Underhyped: quicker hype cycles – blockchain, VR/AR, drones and anything new is all over it in few months
    • Marketplace Key Metrics: gross merchandise sales and take rate (revenues compared to the gross sales)
    • Recent investment: HeadOut mobile first marketplace for travel experiences (NY, LA, Chi, SF, LA, Vegas)
      • Upcoming experiences in next 24 hours in that city

Sharing, Building and Community (Notes from June 24 – 30, 2019) July 16, 2019

Posted by Anthony in Digital, experience, finance, Founders, global, Leadership, medicine, questions, Real estate, social, Strategy, Uncategorized, WomenInWork.
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If you hadn’t noticed or read from the start, you should know that I’ve gone in order from the start on the Twenty Minute VC episodes. Many of the conversations are from 2015 and 2016 so they end up as a bit of a history lesson and window into the mindset surrounding capital / founding at that time. Bubble discussions or higher capital raises are comical when we now know what today looks like – higher, still. Although I’d say geographically, expansion has exponentially grown as it’s become easier and more common for firms to seek out what they really believe is an edge for them. Interestingly enough, people also don’t stay where they were, especially over a few years. As I look them up to refresh and review for these posts, it can be very enlightening to see where they are currently – did they start a new project? Open a new fund? Move on to different industry?

David Teten was one of those switchers, as he was with ff V/C at the time, and now over at HOF Capital. Similar role but perhaps more focused on what he’d like to see. Also, many of the firm founders and partners aren’t heralded for having more than a few roles – some probably for different reasons, but I look at that for myself as a way to stay extremely excited about continuing to learn every day, every week. To believe in yourself to be capable of doing great work, helping to create as much value as possible in the most efficient manner, hopefully. Weird that many people receive flack for multiple positions when many of us strive to follow a few particular, but potentially different, things. For this, I admire David in keeping up with his roles, while keeping us all in the loop of his thoughts, generally, as well.

Next, there were two involved in real estate, housing and construction that were pretty much aligned. What do I mean? Both believed the rising housing (and estate, generally) costs have come as construction costs have increased significantly. This is creating unduly pressure, and making it more difficult for projects to get done. Maggie Coleman went through real estate differences for certain types, while John Rahaim of SF mentioned precautions that are being taken for the coastline and bay.

Then, we had Ryan Hoover, who runs ProductHunt, and is one of my favorite follows. He built what he and his friends wanted – a place to share ideas and products to try. And 5 years later, here he is. I won’t spoil some of the nuggets that he shared, including a few of his favorite books and monetizing once he knew it was real. Not to be outdone, a discussion with Phil Southerland covered how he has built a strong community of athletes born or having diabetes. To demonstrate how they can grow, he helped form a team of all diabetics and professionally rides to bring awareness and improve the lives and conversations surrounding them.

There is important work being done by many people, including ourselves. If we can better someone’s life, it’s likely worth doing it if you’re enjoying it. We can help by just being who we are and doing what we would like to do. I’d love to hear some of your ideas or thoughts regarding the people covered in this week’s notes.

  • David Teten@dteten, Partner at ff Venture Capital, founder and Chairman of HBS (20min VC 095)
    logo-collateral-black

    • Alumni Angels of Greater NY, largest angel group in NY
    • How to Disrupt the Investing Business
    • Grew up in Marin Co, played with computers – consulted and taught Excel as a kid – bah mitzvah on knowledge test
      • Fired when he was 16 from financial services company because they figured out password was pw for admin
    • In college, worked briefly in strategy consulting before investment banking in tech – business school where he started multiple ventures in Israel and US
    • Joined ff VC in 2011 when it was 3 – now 27+ people, as largest headcount seed VC in Canada, Amsterdam, Israel, UK, US
    • Company ff should be generalists – broadest possible but don’t invest in life sciences due to no expertise there yet
      • Can’t predict in advance, so they want companies that are interesting with high growth potential
      • Admires outbound of TA or Summit, but something like SignalFire to look at data for high growth
        • Resources to help founders to reduce write-offs (1 in 6 fail for them) which attracts inbound (2000+ a year)
          • Filters down to ~12 a year to invest
    • Google Ventures / SignalFire and others as algorithmic approaches to source – increasing importance but not validated thesis
    • Loves their model as efficient – frustrations at other vc’s (80% of time with people / co you can’t invest in – partying and not meeting anyone)
      • Nobody at ff has a job as origination, Angelist as disrupting the generalist VCs (those that don’t have added value)
    • Top 3 Important Ways to Support Companies: capital raising, finance acceleration team – CFO acting, recruiting
    • How to determine value add as entrepreneur
      • Reference check
      • Do the math on portfolio: for ff, 60 portfolio co’s (active in 2/3), 24+ ee’s
        • How many people in the team? How many portfolio co’s? How many checks?
          • Use that to determine person-hours you can expect
        • What sort of technology platform to support the company?
      • A16z as huge operational side – finance, marketing, etc…
        • Short list for companies doing this – very capital intensive
      • Believes that there will be some shrinkage in the model in a downturn if it’s not fully thought out
    • Very illiquid asset class (mentioning to LPs) – 12 different academic studies for 18-54% median returns
      • 10+ years for cash returns, lot of institutions aren’t okay with that time range
      • David Swenson (head of Yale endowment) has argued long-lasting liquidity premium for illiquid asset classes
        • Even the most liquid asset classes aren’t liquid when you want them to be (2008, for instance)
    • Indiegogo as seed – crowdfunding space, competitors aren’t invested in – watch Angelist very closely, though
      • Services from Angelist as they look around at different parts of deal flow
      • Encourages member space to get involved in angel investing for next generation of companies – exposure to ecosystem
        • Promote economic growth
    • Research study: Disrupt investing – security, for instance
      • Secure (ID verification), Distill Networks (blocks bots), IONIQ (from Atl, secure cloud usage)
      • New processes and make them efficient: Addapar (Excel/PDF), Earnest Research (nontrad datasets eg: cc info, email receipt mining)
    • VC usage of social media: much more aggressive, judicious but no breakfast tweeting – sell
    • Edward Tufte – Yale prof, must read
    • PandoDaily as top blog – not afraid to make enemies, discuss what they do
    • SkyCatch as most recent – drone tech, set of tools for collecting data via drones – construction use case (Kamatsu client)
      • Monitor exact status of project, imperative they know where everything is
  • Maggie Coleman, MD and Head of Intl Capital at JLL RE (Wharton XM)
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    • Looking at different real estate measures – single family homes, for instance
    • Do different assets in real estate require a different measure to draw attention from foreign investors?
      • Didn’t seem so – would depend on where the capital was coming from (their own environmental basis)
    • Construction costs as outpacing many other costs – affecting many markets

 

  • John Rahaim, Director at SF Planning Dept (Wharton XM)
    • Having to adjust for the changing seaboard – will regulatory measures be taken?
      • No mechanical or living people in commercial buildings on the first floor, for instance
    • Says there are already precautions being taken on the bay – 5-8 feet, for instance
    • Construction costing so much already that it’s been very difficult to get building done post-land acquisition
      • Estimates of $600-800k for this due to inflationary and costs passed from the building companies
      • Said he had some 36? Projects that are being held up
  • Ryan Hoover (@rrhoover), Founder @ ProductHunt (20min VC FF026)
    ph-logo-3

    • Best community builder, Twitter engagement, winner of TC Best New Startup of 2014
    • Just wanted to build a consumer-focused thing to discuss with his friends about app ideas or companies
    • Put it on Quibb and Twitter – manual things initially, set up an email subscription, personal email connecting with people
      • Keep building communities otherwise it peters out
    • First iteration was RoR built over 5 day Thanksgiving holiday – core is the same, people using and community growth
      • Having people tell them and comment on ideas (used it as their new home page)
    • How to plan to go from early adopters to mass market?
      • Eager enough to participate, engage and not necessarily representative of the common users
    • Categorizing Podcasts and putting them on the home page – barrier before, now based on episodes
      • This Week in Startups, Startup Show (by Gimlet founders), Jake Gyllenhaal ep of Mystery Show (Gimlet media) – is he 6′ tall?
    • Worked on Hooked with Nir Eyal, using some in ProductHunt
      • Email digest is the trigger – action is to open / click on something to find inspiration or interesting
        • Built email variability – some consistency, surface different titles and content
      • Follow collection, clicking follow, reward is updates on the collections – permission for emailing to reinforce and come back
    • Ryan’s favorite collections: featured ones, Russ has game collections (browser ones), Julie created bakednight
    • Betaworks kept popping up on their engagement charts – Twitter very active, products (Without, where would he be?)
      • Always tagging the authors and being genuine, personable, funny or light-hearted
    • Monetizing PH – at its core, download/use/purchase products with the right intent
      • Over time, will explore more of this
      • Fundraising: first time for Ryan, different as a side project and growing
    • Quibb as newsfeed other than Twitter and also Crunchies where they announced Shipt but said “Actually, it’s PH”
    • Sunrise as calendar app, Pomodoro – no longer. Favorite book: Art of Game Design by Arty Shell
      • User psychology and game mechanics, how it applies to tech products as well. Game design not always thought about.
  • Brian Solis (@briansolis), author of Lifescale (Wharton XM)
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  • Survey on how social media has changed / warped views for girls
    • Hadn’t fully released yet

 

 

 

  • Phil Southerland (@philsoutherland), CEO of Team Novo Nordisk (Wharton XM)
    novo-nordisk

    • Living with T1 diabetes and bringing awareness
    • T1 and T2 can be helped, dealt with and he’s trying that
    • Cycling team focused on it
      • Full team is athletes with diabetes
        • triathletes, runners and cyclists

Innovative Investing (Notes from June 3 – June 9, 2019) June 25, 2019

Posted by Anthony in Automation, cannabis, Digital, education, experience, finance, Founders, global, Leadership, medicine, NFL, questions, social, Strategy, training, Uncategorized, WomenInWork.
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The primary theme of the week seemed to be how data can get pooled together to determine a signal and how to learn to seek the best way we, as individuals or teams, can discern valuable content to motivate actions on that information. Data is plenty – it’s a matter of gathering, curation, analysis and testing before putting it into action. This is done by any number and types of companies nowadays – this is a source of advantage seeking that forward-thinking ones make, in my opinion.

Since my notes were more detailed, I’ll try to keep this brief. The wonder people below hailed from banks (First Republic Bank), funds like Emerson Collective and Womens VCFund, marketing company like BEN or LikeFolio and then David Epstein’s Range, Sinead O’Sullivan’s work on space or the data Rohan Kumar collects with Azure Data.

Create a hypothesis. Test the hypothesis. Put into action, or iterate. Rinse, repeat. Good luck!

  • Samir Kaji, (@samirkaji) MD @ First Republic Bank (20min VC 093)
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    • Leading private bank and wealth management, before at SVB
    • 1999 – “anyone with a pulse could get a job” but he was working selling vacuum cleaners at dept store
      • Was told by family to get a real job – applied to first business SVB, got resume in and interview immediately before starting
      • First couple years were tough – learned a lot, but was 2004 until companies had scaled and were getting bigger
    • First 10 years were tech companies, series A and B and venture debt – post 2009 Lehman / Bear, went to venture group at SVB for 4 years
      • Made the move with a few others from SVB to First Republic, now leading team in micro-VC and early-stage tech co’s
    • Says the micro-VC is more entrepreneurial & collegial compared to extended stage VC’s
      • First fund is that you can get traction for a second or third one, fees as pressure – most likely why many people come from some wealth
        • Writing large checks as GP, as well
      • 2-2.5% management fees initially vs 1 / 25 or 1/30 model
      • 1999 – 2002 distribution was 0.9x and you’d get 10x return (whoops) – very difficult for funds to get 2-3x for LPs
    • Barriers to entry much smaller for $20-25million as compared to $500mln – institutional, etc — he can go to family friends and high net worth
    • Seed over next 5 years: contraction in space (wrong), but said there isn’t enough returns for funds to max it
      • 1100 in the 2000 year and burst
      • Continued prominence of Angelist platforms, maybe an integral part of the ecosystem
      • Starting to see use of data (Mattermark, CBInsights, SignalFire) to more efficiently identify and action at this level
    • Favorite book is Phil Jackson’s – behavioral psychology, Give and Take is another one
    • Really respects the pioneers of the industry and first-time fund-raisers
      • Mike Maples, Michael Deering, Steve Anderson, Jeff Clavier when it wasn’t a thought
    • Habit – reading book or blog post for 20min in the morning before email
      • Disconnect from audio / video devices and reflect for an hour
      • 2 hours a day for family/friends and disconnecting, as well
    • Thomas Redpoint, Mark Suster, Brad Feld, Strictly VC, Ezra at Chicago Ventures
    • Knows awesome fundraisers but terrible at returning capital – didn’t mention any
  • Collectively Driving Change, Laurene Powell Jobs and Ben Horowitz (a16z 5/27/2019)
    emerson-full-logo

    • LPJ – founder, president of Emerson Collective
    • Grew up in NJ – father passed away in a plane accident when she was 3 – 3 children.
      • Mom remarried so there were 6 of them. Wooded area of NJ.
      • Core values and dedication to education to get out of the area.
      • She went to Upenn – first student from her high school that went to Ivy League – ~20% went on to more schools
    • Addressing East Palo Alto school as a volunteer to help – 1st talk, 0 had taken SATs
      • What happens when you’re first to graduate high school? What’s it mean to the information from family?
      • What happens to be first to want to go to college, thrive&complete it?
        • To have the aspiration, can be a leader in the family – translator, get sucked into all problems
      • Started with 25 freshmen – would have to come with friends for responsibility mechanisms – for College Track
        • 3000 high school students, 1000 college, 550 grads
    • Collective of leaders, innovators – education inequities, access and need for enhanced/robust curriculum
    • 10 year time horizons – getting them together is scheduled with Monday all-staff meetings (3×3 matrix of videos)
      • 5 cities, sometimes philanthropic speakers or reports
      • Discussion of reading as you fall behind through third grade before switching to reading to learn – already behind
    • XQ as SuperSchool dream – 17 of 19 will open in August
    • Caring about impact and solving problems, not wealth increasing – wants access to policy or money and not taxes
      • Judged Giving Pledge for not wanting to be more philanthropic
      • Environmental, edtech portfolio, cancer / oncology investments, immigration incubator, new thinking to old problems
    • How do you know when you’re succeeding? Collecting data on everything they do.
      • Example: XQ – schools and districts, state of RI as switching to statewide competition
      • Chicago has good data for fatal/nonfatal deaths (I disagree)
    • Imperiled or important institutions like journalism and media need to be sustained, how many join?
      • Concentrating and following where IQ is migrating (hahaha – what a joke)
  • Data Infrastructure in the Cloud, Rohan Kumar at BUILD conference (Data Skeptic, 5/18/19)
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    • Corp VP of Eng of Azure Data Team at Microsoft – SQL and data services, open source, analytics, etc
    • Trends in data engineering in the cloud, serverless and hyperscale
      • ML and AI and enabling applications – shifting to edge vs cloud – analysts predict 70% will be on edge devices
      • Solutions and private edges – training in the cloud and deploy them on the edge applications
        • Data platform needs to be the right foundation
    • Highlight for him from conference: work they’ve done on relational databases in the cloud – as volumes grow, scalability challenges
      • Hyperscale for Azure and PostgreSQL, as well as MS SQL soon enough – system scales with needs (they’ve tested <= 100TB)
    • Acquired Citus Data, support scaling out the compute layer – strong team, great product, matches in Azure and open-source
    • Releasing serverless option for Azure database – costs designed to stay low and optimized
    • Analytics side: customers wanted to do real-time operational analytics – didn’t want to move them outside of their core product
      • How is data distributed and having compute be co-located with the data to gain Spark efficiency being nearest to node
      • Support Jupyter notebooks across all APIs to modernize to do more predictive analytics
      • Attempting to build out pipelines requires too much scripts, instead have Data Flows in Azure Data Factory – no-code and UI
      • Wrangling data visually and seeing if something can be recognized or learned to repeat across other columns/tables
    • Latency won’t be ideal if compute nodes occur nonlocal to the data changes – can’t do 50,000 nodes all at once
    • Excited for the future: Horizon 1 (next 8-12 months), Horizon 2 (~3 years), Horizon 3 (moonshots)
      • H2: Hardware trends, what do customers want? Pushing boundaries of AI and ML, healthcare, gaming, financial services, retail
  • Wide or Deep? David Epstein, author of Range (Invest like the Best, 5/28/19, ep. 133)
    • First book’s research lead him to get into specialization and finding kernel for next
      • Some countries: turning around national sports teams – why don’t we try other sports? Contrary to 10,000 hour rule.
      • SSAC – debating Gladwell – athletes have a sampling period instead of first gene – delay specialization
        • Used Tiger vs Roger – Roger had tried a ton of sports vs Tiger who was born and was playing golf
    • He was not good at predicting what people/public would attach themselves on to – 10,000 hour rule – race/gender as most talked (but weren’t)
      • 10,000 hour rule were based on 30 violinists in world famous music academy (restriction of range)
      • Height in American population vs points scored in NBA (positive correlation) but if you restrict height to NBA players, negative
    • Finnish cross country skier who has genetic mutation similar to Lance’s boosted
      • Sensitivity to pain and modification to your environment – also sudden cardiac arrest in athletes (what pushed his interests)
      • Book as opposition to Outliers and Talent Code – interpreted a lack of evidence as evidence of absence (genetics matter)
        • First year he read 10 journal articles a day and not writing – they were making conclusions they could not make based on their data
      • Differential responses to training – best talent were missed because we don’t know about training responses
    • Collection and exploration phase – competitive advantage for expansive search function to connect sources or topics
      • Has a statistician on retainer, essentially, to check models or surveys
      • Wanted to know what he was missing – “how come I broke the 800m women’s world record after 2 years of practice? – genetic difference”
        • Racing whippets – 40% had a genetic defect that gave them more muscle and oxygen
    • All of sports as a limited analogy (problem after Sports Gene; now, more tempered)
      • Robin Hogarth addressed “When do people get better with experience?” Don’t know rules, can try to deduce them but can’t know for sure.
      • Kind learning environment: feedback immediate, steps clear, information, goal ahead
      • Wicked learning environment: can’t see all information, don’t wait for others, feedback delayed/inaccurate
    • Study at Air Force on “Impact of Teacher Quality on Cadets”
      • Have to take 3 maths – calc I, II, III (20 kids randomized) – professors best at causing kids to do well (overperforming) systematically undermined their performance thereafter
        • 6th in performance and 7th in student evaluations was dead last in deep learning
        • Narrow curricula were better at the test that they had at the end would be negatively correlated with going forward in performance
      • Teachers that ignored what was on the test taught a broader curriculum (making connections vs procedures)
    • Learning hacks: Testing (wonderful – primed to test ahead of learning), Spacing (deliberate not-practicing, Spanish ex spread 4 hour twice, 8 hours), Mixed practice
      • Ease is bad – known time horizon for when you have forgotten again – interleaving and spacing mixed
    • Passion vs Grit (“Trouble with Too Much Grit” – Angela Duckworth’s research)
      • Duckworth did a study at West Point for East Barracks cadets – candidates score (test + leadership + athletic) was not good prediction of doing this (overall it was good)
        • Grit was a better predictor for making it through East Barracks – she questioned whether it had an independent aspect
        • Variance for grit was probably 1-6%, especially after “flattening” groups – looking at people that had a narrowly defined goal for short periods (cadets or spellers)
      • Cadets were scoring lower on grit at late 20s vs earlier – tried some things, learned others about what they want – grit is poorly constructed
        • Look holistically – if, then signatures (giant rave – introvert, small team – extroverts) right fit looks like grit – developmental trajectory as explosion matching spot
    • Choosing a match for a future them who they don’t know in a world they can’t comprehend – people that find good fits (in practice, not theory)
      • Paul Graham’s “Commencement Speech” that he wrote “Most will tell you to predict what you want in 20 years and march toward it.” (premature optimization)
        • Everything you know is constrained by our previous experiences – limited as a teenager – just expanding and learning as you go forward
    • Gameboy example – with so much specialized information that can be disseminated easier – can take from all types of domains and recombine them
      • System of parallel trenches – can be broader much easier now – hired people for Japanese and German translations
      • Japanese man profiled in his book – technology was changing faster than sun melts ice – didn’t get Tokyo interviews
        • When he got to Kyoto company making playing cards, he was a tinkerer who was maintaining machines – started to mess with them (arms)
        • Turned them into a toy, and it was Nintendo – cartoon-branded noodles (failed), and had toy development
          • Lateral thinking with withered technology – stuff that’s cheap, easily available – takes into other areas
            • Remote control, more features – wanted to democratize this and strips it down – LeftyRX only left-turns
        • Sees calculator from Sharp and Casio and thinks he can do a screen and handheld game – small games
          • Had issues with Newton’s rings so he found other small tech (credit cards embossed) to fix small pieces
      • What it lacked in color, graphics and durability (could dry it out, batteries would be fine, split it up, “app” developers because it was super easy to understand)
      • In areas that next steps were clear, specialists were much better – less clear, generalists were more impactful – depends on the specificity of the problem
        • 3M had a lot of areas for this, “Periodic Table of Technology” – post-it note came from reusable adhesive that had no use for
        • Only Chinese national woman to win Nobel – “Three No’s” (No post-grad, foreign research, membership in academy)
          • Interest in science, history – Chinese medicine for treatments of malaria – world’s most effective treatment from ancient text
  • Greg Isaacs, BEN (Branded Entertainment Network) (Wharton XM, Marketing)
    Print

    • Discussion of getting data from Netflix / Amazon / Hulu / tv to better match brands and advertising
      • Dirty data via a wharton grad who set up a survey style
      • Cohorts and demographics, along with psychographics
    • After getting data, attempting to approach Youtubers / social media influencers, tv spots and channels or shows to get their brands in front of the right people
      • More pointed, depending on what interests are for their cohorts
      • Creative storytelling as the change of cultural mind shift has increased
  • Understanding the Space Economy, Sinead O’Sullivan (@sineados1), entrepreneur fellow at HBS (HBR IdeaCast #684, 5/28/19)
    • Facebook, Amazon (3000), SpaceX (12,000) and other funding like Blue Origin / SpaceX / asteroid mining or travel
    • Global space economy as $1tn by 20 years – currently $325bn so it would need to 3x
      • Breaking apart space resources and otherwise – earth-focused (delivering or existing in space that helps earth)
        • Exploration or creating interplanetary existence
    • Running out of space in space for satellites – comparing to airplane docking / loading
      • $2500 per kg now to launch, used to be $50k / kg
    • Reliance had been on unilateral agreement for space policy – one tech startup launched a satellite that didn’t have permission (but no fall-out)
      • Food / grocery stores, wifi, phone, insurance pricing due to satellite data – reliance on services are increasing as the market increases
      • Thinks that we’re close to seeing the cheapest cost of launching – cites SpaceX, but won’t allow everyone to participate
    • Ultrahigh accuracy will require higher powered satellites – GPS, nonmilitary grade is ~0.5 m – thinks it will prevent autonomous vehicles solution
    • Ton of money going into asteroid mining but thinks it’s better for testing missions to Mars and figuring out the problems for future
      • Looking at Uber at start and say “people won’t get into a stranger’s car” or other cases as how we see the future – going to Mars, etc
    • Earth-focused space technology – 100+ launched satellite start-ups, micronano satellites, relay companies, downstream analytics
      • More touchpoints for everything in this manner
      • SpaceX will increase public and government intervention and within 50 years, maybe see a human launched there
  • Investing w Twitter Sentiment, Andy Swan (@andyswan), LikeFolio (Standard Deviations, 4/25/19)
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    • 1700+ tweets examined per minute in LikeFolio – discovering consumer behavior shifts before news
      • Direct partnership with Twitter to create massive database and how they’re talked about to look for mentions
      • Purchase intent, sentiment mentions – trends across product categories or brands
    • Example – Delta (as host is a loyalist) – making adjustments
      • Expectations are the relative part – comparison to the baselines (metrics compared to itself as baseline)
    • Put out a comprehensive report on Apple day after keynote event – September 14, 2018
      • Consumers were unimpressed with iPhone lineup – more price sensitive than maybe they’d considered
      • Apple Watch was the silver lining – stock / sales may struggle over 3-9 months (upgrade cycles)
    • WTW version of keynotes – NYE resolutions – subscribing early to drive revenues the rest of the way
      • Purchasing mentions were only up 30-40% compared to 5 or 7x weekly mentions (big difference)
    • Shelf-life and how to consider the sentiment data – lead time may be binary corp event (same store sales or year)
      • Couple months with Apple, for instance, but with Crocs – resurgence that persisted to current time
    • Set up keyword structure and brand database – “I’m eating an apple” as opposed to an Apple mention – human eyes to ‘label’
      • “Closed my 3 rings” – apple watch but sarcasm / spam that wasn’t caught (estimates at 2-3% of data)
      • If spam / sarcasm are consistent portions of the data, doesn’t really have an effect
    • Twitter Mood Predicts Stock Market – Bollen, Mao, Zeng (88% and 5-6% predictions) – fund closed up shortly
    • Advantage being better than analysts or pricing and codifying sentiment behavior compared to past quarters, data
      • Some consumer trends analyzed as true tipping point or actual movements
      • Public prediction before productizing their modeling – made 40 and were 38-2 (confidence as highest)
      • Investing as very specific, concentrated and holding ammo compared to trading with option spreads and has risk profile built
    • https://arxiv.org/pdf/1010.3003.pdf
    • Diversification as 20-25 stocks, doing it over time and with conviction can be done
    • Starting in Louisville for his fintech company, host in Alabama, for instance
      • Talent can be more difficult to seek out but the world is globally flattening via the internet
      • 70% lower overhead cost than being in SF, for instance – developers would anyhow be in Slack channels / not a big deal
      • Reduction in cost maintains greater control of company since they don’t have to take reduction of equity to gather more
    • Network effects don’t matter if you don’t have a great product or product-market-fit
    • Free association game
      • grapenuts: best cereal (Co’s been around for 100+ years, branding and $ spent and they can’t figure it out)
      • Fintech Future: individualization and customization
      • Victory: most important thing in life, achieved what you set out to do – setting goals and achieving these
      • Bourbon: pappie von winkle – collecting for dust on shelf 10 years ago and now going for $3000
  • Jonathan Abrams, co-founder Nuzzel news (Launch Pad)
    nuzzel

    • Landing hedgehog as the mascot – animal as cute, 99designs and surveying 50 friends – 25 men/women
    • Discussing how VC’s don’t have great advice, especially when general – too hard to be an expert in such a wide range
      • Finds it easier to be very context-driven and providing solutions or action-oriented questions to founders
      • Investing now easier with YC and Angelist, etc…
    • Timing and other mistakes he made – out of control, losing equity part early (but depends on where you are / what you need)
  • Etan Green, professor at Wharton (Wharton Moneyball)
    • Discussion on paper of how sharp money comes in at horse racing tracks
      • Difference between sites – fairground action compared to tracks, and specific to region (New Orleans, Minnesota, for instance)
      • Big sharp money comes in very late, pushing the underdog prices to higher values
        • More expensive to bet while at the track than the APIs enabling higher volume bets
        • Books at the track are incentivized to bring in as much $ as possible, so $0.20 on $1 vs $0.15 rebate on $0.20 for volume
    • Value and differences in how people will bet
  • Edith Dorsen, Women’s VCFund founder, MD (Wharton XM)
    wvcfii_logo

    • Talking about their focus on first fund, approach
    • Opportunity for finding diverse founders, 25% of their fund had a woman founder
    • Starting a second fund
    • Had consumer tech, enterprise and not so much b2b, but trying to increase
      • Hard to say or give advice if one of their partners don’t have expertise in the domain
  • Sophie Lanfear, Silverback Films producer on Netflix “Our Planet” (Wharton XM)
    • Species that are dying, going extinct
    • What we can do about it
  • Aliza Sherman, Ellementa co-founder, CEO (Wharton XM)
    logo

    • Discussion of client talks when she made them aware of her cannabis endeavors
    • How friendly the community is
      • Then knocked the idea that ~30% was female to start before diving off a cliff
    • CBD to mask opioids – does it really do anything from a pain/treatment perspective, though?
      • Anti-chemo because of CBD – really?
    • Sounded too rehearsed – made it sound fake, not genuine
      • Passion/motivation/mission and kept repeating as the best advice she could give – painful

Thinking Through Data (Notes from May 13 – 19, 2019) June 5, 2019

Posted by Anthony in Automation, Blockchain, Digital, education, experience, Founders, global, Hiring, Leadership, medicine, questions, social, Strategy, Uncategorized.
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This week we had a hefty dose of medicine, biotech and data discussions. However, it isn’t just focused on the technology and innovation for these incredible people, but rather the frameworks of the thought process that goes in to their decision-making. We can ask “Where did we go wrong?” or “What assumption do we make that should/would be challenged?”

Annie Duke is excellent in assessing this on the spot, but she sheds light on the steps she takes to get to that level. Much of what we believe / view tends to be outcome-based, which is fine because that’s easiest to see. However, it’s rarely consistent in the path to get to that success point once we change the problem. That’s what we should focus on – consistent thought processes to make strategic decisions. Outcomes are one metric of measuring the decisions, but not an end-all, be-all.

AI mixes with a few of our guests, including Mir Imran and Eric Topol. How does it play a part in how we will progress? What may AI teach us about our historical research? Are there more optimal methods of delivery?

Emily Oster and Hanne Tidnam discussed societal effects of technology and decision-making. With technology becoming more and more ingrained as a part of everyday life, is there a point-of-no-return or is it okay generally? Or, is there a limit? Time will certainly tell – studies / surveys don’t have the information available to give us any insight since the time-scale is so recently biased. Technology has outpaced the level at which we can make data-driven decisions in this manner.

Bruno Goncalves discussed text mapping and language processing for how different dialects of the same language can indicate demographic patterns in various locations (focused initially in Brazil). He mentioned it was interesting to track words / phrases and how they changed throughout history for English, primarily – harder to track Spanish. If there’s more data available (say, mobile text / audio or email?), may be easier to break down by parts of towns/cities, but currently, it was limited to general, larger blocks based on Twitter text (which is sparse, generally, anyway).

Suranga of Balderton Capital discussed his movement from London to San Francisco and what he’d observed as a tech employee, then executive and founder and the difference between the environments. His excitement for the future comes from the societal change that infrastructure of technology may enable. Then there was a darker side when we heard the author of Ghost Work – Mary Gray – as she said there is a larger split of work designed for specificity as we improve the AI / ML models that have been deployed. What is needed work-wise or what can be automated? Are those good? Biased? We’ll see.

I hope you enjoy my notes and hopefully you’ll check out a few that sound interesting! Thanks again to the people that continue to keep me up to date with what I love to learn.

  • Eric Topol (@EricTopol), author of Deep Medicine, cardiologist (Wharton XM)
    deep-medicine-cover
  • Deep AI and medicine – asking how to properly apply deep learning or AI to medicine
  • Yet to have a drug made by AI
  • Bayesian principles failing in medicine community
    • 12% of women get breast cancer, yet we ask them to do 1-2 years mammograms
      • 10 year span, 60% will get a false positive (yikes!)
    • Adopters of Apple Watch and its cardiogram / heart information are treated unilaterally
      • Young, healthy and curious people may not have any arrythmia so any abnormality (totally normal) may be misdiagnosed
        • Signal from heart rhythm from one person may be different from another
    • Says it’s a sign of being behind (3rd industrial vs 4th for the rest) when Stethoscope (invented 200+ years ago) is still sign of industry
      • Analog, no option of recording and is still very subjective to the doctor listening
      • This, despite advances in imaging and scans otherwise
  • Mir Imran, Chairman & CEO of Rani Therapeutics (Bay Area Ventures)
    21bf244196ea49469935c6e51910eec6

    • Talked about the big equity stake his fund took in the company, wanting it to be a big hit
    • Drug development, say, an insulin pill compared to injections (spent 150+ years on solving this)
      • Stomach / pill form in past is only 0.5% or < 1 % efficacy – can’t intake that many pills or cost-effective
    • Designing pill that is pH-shell-dependent to identify intestine pain receptors are limited (can inject no problem)
      • Pill recognizes pH change by dissolving outer shell (to pass thru stomach), then sugar-needle injects
      • 1000s of animal trials and just passing pills
      • Started trials ~18 months ago in Australia for pill traveling (using x-rays every 30 min to track)
        • Then progressed into drug for giantism, along with looking at other biologic diseases / solutions
    • Don’t want to limit biologics to a single buyer (Novartis, Genentech, etc…) – keep it open
      • Investments from Novartis and Google initially ~$150mln worth now
  • Mapping Dialects with Twitter Data (Data Skeptic 4/26/2019)
    • With Bruno Goncalves about work studying language – now @ Morgan Stanley
    • Started with research in CS and Physics, moved eventually to Apache weblogs, email, big router logs, Twitter conversations to study human behavior
      • Turned into looking at Twitter check-ins with the log using longitude and latitude
      • Language used: order maps, areas dominated by specific language (drawing boundary between French and Belgian in Belgium, for instance)
        • Intermingling cities that attract many languages
    • Spanish changing from one areas to another – everyday words, phrases
      • Can use the location data to determine the area of dialects – splitting Brazil, for instance (South, North and then central American)
      • Dividing grid cells into km x km – maybe not determinate of gradients of English vs Spanish since they were testing dialects of Spanish
    • Each row corresponds to each cell and words, but the matrix essentially loses the meaning
      • Ran PCA analysis and K-means on the clustering
    • He’s gathered 10 tb of data from Twitter, corpora and looking at millions of tweets – too few data to look over time
      • Measuring language changes over time was difficult for Spanish, but easier with English
      • Used Google books, for each language and counting bi-grams in how many books – popularity of words
        • Corpus of books published in UK vs US for Google books (1800 – 2010) for reliable data, but further back was less popular
        • Could normalize for words on how American vs British words were (and the mixture)
    • Recently, looking at demographic splits of language now with more digital / online presence
    • Training spellcheck based on dialect or demographic splits
    • Doing this stuff part-time now – how to train a model to detect use of language in this sense
      • Using word embeddings to detect automatic meanings of slang to determine the different meanings
  • Matt Turck with Plaid co-founder, Podcast
  • CSR in Gaming Industry,  (Wharton XM)
    • Discussing how it can be weird to gain competitive advantage and share
    • CSR as large subjective to the person looking in
    • Gaming companies chip in to gambling addiction hotlines / help / etc
    • Particularly in Las Vegas / NV, CSR survey determined that direct opportunities in water conservation, energy and green energy
      • How can they more efficiently run such large operations
    • Survey had about 80% of the gaming industry represented, from servicers to manufacturers to casinos themselves
  • Suranga Chandratillake, GP at Balderton Capital (20min VC 090)
    balderton-capital-logo-1

    • Founded blinkx, intelligent search engine for video/audio content in Cambridge in 2004
      • Lead company for 8 years as CEO through journey to SF, building a profitable biz and going public in London
    • Early ee at Autonomy Corp, engineer in R&D and then CTO when he went to SF
    • Belief in technical person shouldn’t be CEO – idea has been replaced in US (probably split)
      • Jack Dorsey, Zuckerberg (went into Dorsey and the idea 2 companies that aren’t really overlapping)
    • Been impressed by both Gates and Zuckerberg
      • Knowing the code and going through to understand everything
      • Zuckerberg’s acquisition of Instagram (ridiculed for $12bn and how right he was – surpassed Twitter’s users)
    • 2 Things for Tech going forward – changing infrastructure
      • VR and including drones or autonomous vehicles – hardware progression and mobile phones for what CAN be done
      • Societal difference – how we change to gig economy or how we work and spend time each day
    • Changing investments – just announced investment in Curious.ai
      • Shorter term where society is changing (eg: Nutmeg for planning pension plans, cheaper and available)
    • Structure for Balderton as equal partner VC – not sure it’s the most efficient model, but thinks it’s the best
      • Equal partnership where the partners have all the same number of votes, compensation and identical split
        • Removes the politics and impacts the partners and the stakeholders (founders that may be affected)
      • No single group that can carry the vote – hiring becomes very difficult because you need an equal
    • Knowing when to stick and when to switch
      • Deciding when to say “We don’t do that” and pivoting and being right
    • Exciting company for investment that he’s done recently – Cloud9
      • All development being done in the cloud now
  • Nick Leschly, CEO Bluebird Bio (Wharton XM)
    bluebird-bio

    • Purpose Built, 5/14/19

 

 

  • A Guide to Making Decisions (a16z 5/12/19)
    • Emily Oster, Hanne Tidnam discussion
    • Health and personal spaces – “right” thing isn’t a difference for some
      • Cocoa crispies, eggs and the preference for why you eat them, not just health-related
    • Impact of breast feeding vs not and looking against obesity
      • Less likely to be obese if breast feeding
      • Random trial for this is from Belarus in the 1990s where they requested parents to some breast fed
      • Siblings in choice to breast feed – almost no correlation if they did or did not
    • Constrained optimization – money or time
      • As parent, making choices based on preferences but have constraints
      • Recency bias for current literature – only data will be problematic and that it can only support a relation
    • Regression discontinuity as drawing a line and then seeing interventions and how they may change or affect outcomes
    • Screen time as having evidence that’s just very poor
      • Not easy to run randomized trial on – iPad or lifestyle would have to change for trial
      • Apps in short term doesn’t have the info available for results / outcomes
      • Studies currently don’t have any conclusions on phones/tablets – little
      • Bayesian updating on uncertainty – if 2 year old spends 50% of waking hours, that’s bad. Where’s the limit?
    • Last time went to doctor – very concretely made a recommendation of “2 hours max in a day”
      • How does the information get to that level of the system?
      • Conversations occur with doctors where they essentially make the lines that stick, pass on
    • Recommendations go out as arbitrary but now are made as truth – terrible without the decision
      • People that take the recommendations are likely more different or health-conscious
        • Added another layer (vitamin E, for instance) – those that adopted did many other things
    • Just be wrong with confidence – can be right, lots of good options
  • Innovating in Bets (a16z 5/8/19)
    • Annie Duke (@AnnieDuke), Pmarca, smc90
      annie-duke-thinking-in-bets-199x300
    • Every organization and individual makes countless decisions every day, under conditions of uncertainty.
    • Thought experiment: posing Seahawks run the ball and are stopped vs passing and throwing pick
      • Once there’s a result, it’s very difficult to work backwards to assess the decision quality was.
        • Outcome was so bad – it was in the skill bucket. Or – oh, there was uncertainty.
      • Very slow in NFL, for instance, to adopt analytics according to the numbers
      • 4th and 1 – should unanimously go for it since numbers say the other team will get 3, expected
    • As a decision maker, we likely choose the route that keeps us from getting yelled at
      • We allow uncertainty to bubble to surface – conflicted interest – long run vs short term
      • 2×2 matrix of consensus vs nonconsensus and right vs wrong
        • CR fine, NC-R genius, CW – fine (all agreed), NC – W really bad
        • Outcomes are right and wrong – hard to swipe the outcomes away
      • Thinking or allowing uncertainty in human driving and killing a human vs autonomous vehicle
        • Black box not understanding autonomous vs THINKING understanding another human (“Didn’t MEAN to do it”)
    • Anybody in business – process, process, process
      • R/E business – everybody in room after appraisal is 10% lower vs 10% higher (similar analysis)
      • Outcomes come from good process – try to align that an individual’s risk matches with corporation’s
        • Rightest risk – model could be correct (tail result) or risk decision (and deploying resources)
    • Most companies don’t have SITG – how to drive accountability in a process-driven environment so results matter?
      • How do you create balance so outcome caring about is the quality of forecast?
        • State the model of the world, places and what you think. How close are you to the forecast?
      • When you have a bad outcome and you’re in the room?
        • How many times do people say “Should we have lost more? Should we have lost less?”
      • Learning loss – negative direction on how to figure out? Poker example of betting X, X-C or X+C
        • Bet X and get a quick call. Should’ve done X+C (learn, regardless of opposite getting a card)
    • How much can you move an individual to train thinking? Naturally, thinking in forecasts more. Will have reaction and lessons quicker.
      • Getting through facts quickly and having the negative feedback – not robots
      • Improved 2% which is amazing – what are YOU doing to not make it worse?
      • “Results-oriented” as one of worst for intellectual work – need a process.
    • Story of “something is happening” is not a good story. Hard to read journalism now for him because they’re both “non-consensus”.
      • She’s optimistic that people can be equipped to parse narrative to be more rational. Pessimistic of framing and storytelling currently.
      • “Not making a decision” is making a decision but we don’t think of it that way.
        • Really unhappy in a position. Did the time frame thing “Will you be annoyed in 1 year?” – Yes. Nondecision didn’t feel like decision.
      • Mentions not having kids – time, energy, heart and decisions associated with indecision.
    • On individual decision, you have: clear misses, near-misses, clear hits
      • Bias toward missing – don’t want to stick neck out. Have to see it in aggregate. Forecasts.
        • Anti-portfolio / shadow book is really about when you include clear misses vs near-misses.
        • Fear is that the ones that hit are less volatile or less risky will be returning less than shadow portfolio.
      • Says it’s difficult to do with 99:1 turndown vs investments. Sampling.
        • Time traveling with portfolio – bounce out and see if “if this is 1 of 20 in portfolio” vs “invest vs not”
    • Conveying confidence vs certainty
      • I’ve done my analysis. This is my forecast. Is there some piece of information I can find out that would change my forecast?
        • Bake it into the decision. Not modulating the forecast – 60% to 57%. Costs and time differences.
      • Putting confidence interval on earliest dates and another probability, inclusive, on latest day
        • “I can have it to you on Friday 67% of time and by Monday 95% of time.”
        • Terrible to ask “Am I sure?” or others “Are you sure” compared to “How sure are you?”
    • Pre-mortems in decision analysis
      • Positive fantasizing vs negative fantasizing (30% closer to success by thinking of hurdles in front of you)
      • What happens if you ask out crush and they say yes? What happens if you ask out crush and they say no? – No’s more likely.
      • Teams get seen as naysayers – individually write a narrative on pre-mortem – good team-player is how do you fail?
      • After outcome, we overweight regret – don’t need to improve this much. Look out a year and see if it affects you.
  • Mary Gray, author of Ghost Work: How to Stop SV from Building a New Global Underclass (Wharton XM)
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    • Research with coauthor at Microsoft Institute
    • Discussion of the b2b services that run in the background – used Uber’s partner as example for driver verification ID
      • Beard vs no beard on default, for instance – need close to 100% accuracy and algorithms/vision can’t pick that up just yet
    • Humans that run mechanical turk or various tasks on classifications
    • Technology used to be cat vs dog and now it’s species of dog – likely tech will enable more specific classifications but not remove intervention
      • Running with surveys, captioning, translations, transcription, verifying location, beta testing are all tasks
    • Used another example for “chick flick” meaning or 2012 debate with Romney’s “binder full of women” comment
      • Needed humans to assign relevance and to provide or connect proper context (Twitter, for instance)
    • Facebook and its content moderators, most social media companies do this
  • Trends in Blockchain Computing, (A16z, 5/18/19)
    • Get paid for AI data or encrypted data – can still train a model on it but nobody would know exactly what the data is
      • Long term accrual – depends, also, on if it’s on AWS vs open-source
    • Gold farming and ex-protocol websites in WoW, for instance – virtual worlds

Striving to Learn Yourself (Notes from March 18 – 24, 2019) April 11, 2019

Posted by Anthony in Altucher, Digital, education, experience, finance, Founders, global, medicine, questions, social, Strategy, TV, Uncategorized.
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There’s nothing wrong with the selection of a well-traveled path. It’s paved with a full network of people who have gone ahead of you. If you’re active and curious enough, that can lead to opportunities aplenty. But some of us feel as if that can lead to a pigeon holing or limit on what we FEEL like we could achieve. For better or worse – maybe we’re curious along different lines – following a boundary, or making a new path altogether into the woods. Jump into a new space or, adjacent markets, as popularized by Peter Thiel.

It’s hard to go against what we’re generally comfortable with. Habits have been grooved into our system of processes for a reason. I believe that if something is eating at you or there’s an overarching sense of obligation toward a challenge, relishing that opportunity is vital – and should be celebrated. 25+ years ago, maybe less so – as the fallback could have been harder. But now? Nonsense – networks are as connected as we make them out to be – reach out via Twitter to someone, LinkedIn, Facebook, Reddit, Instagram, Slack or the tried-and-true in-person coffee chats, conference meet-ups or otherwise. Interconnectedness has never been this high before. But you have to put in the effort.

 

  • Ashish Walia (@AshishW203), co-founder and COO at LawTrades (20min VC FF 019)
    unnamed

    • Portfolio company of 500 Startups
    • Undergrad in Queens, then law school – read through entrepreneurship opportunities, spoke to lawyers – knew he didn’t want to be full time
    • Decentralize major corporate law firms – before you’d have to go to bottom barrel legal service or stuck paying $600 an hour for routine stuff
      • Middle boutique firms could save money and they were looking for work
    • Joining law firm is like everyone wanting to get in and everyone in wants out – if he knew this already, why not do a different thing
      • He wanted to figure things out for himself and work his tail off for what he wanted to do
      • Idea for LawTrades came up in his 2nd year of law school – businesses and lawyers-directory service, terrible traction initially
      • Using all of the resources – blogs, podcasts, videos, etc… diving in
    • Gary Vaynerchuk as sales and customer experience, as he wasn’t a tech/coder
      • This Week in Startups, Jason Calicanis as well
    • Law school as encouragement for a corporate firm, not to apprentice and then start your own thing
      • More legal technology and open, incubators popping up but not traditional
    • Attorneys with big law experience that want more control over their work-life balance are their target for LawTrades
    • Had started a podcast to drive traffic to LawTrades – had a guest on as founder of Pigeon and he thought they should apply to 500
      • Applied a few days before deadline, had Brian Wang interview while in NYC the day after, then a skype with Elizabeth Yang
        • For LawTrades, they cared about 2-3 recs after learning about the business
      • 4 days after, got in and moved from NY to CA
      • Really wanted 500 Startups because they wanted to drive distribution (vs YC as product-focused)
    • Raised small seed round with the vision, no customers that were just angel investors
    • Enjoyed BrainTree founder Brian Johnson as a nontechnical founder to make it large
      • Altucher, Thiel’s Zero to One, Quora, Medium
  • Dave Sonntag, Gonzaga Associate VP / CMO (Launch Pad, Wharton XM)
    • Discussing university brand, marketing
      • Smaller school of 6000 comparatively, but large brand name
    • Funny to me that he said that the basketball brand was priceless – invaluable
      • Primarily over last 20 years
    • Only the 2nd CMO in the history of the school
    • Started as marketer at Eastern Washington before seeing opening at GU (alma mater)
      • Trying to line up brand exposure to campaigns – bracket + donation set up for the week of tourney start
      • Last year, drove about 1/4 of the site traffic – had to prioritize the home page and stories to make them compelling
      • This year, accentuating professors and their stories (named #1 university professors by US News)
  • Chris Riccobono, UnTUCKit founder (Wharton XM)
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    • Had failed at multiple companies before thinking of returning to finance but landing on doing this co
    • Building a brand around shirts that aren’t to be tucked in – seasonality isn’t necessary
      • Built to have that offering as compared to types of shirts (Tommy Bahama – floral, Armani – club, etc…)
      • 50 stores now and the plan is to have them distribute clothing to better control distribution/supply
    • Increasing market in areas that they put a store – both online and in store
      • Tracking customer data as they go back & forth between online and in-store
      • Control experience of touch and customization to drive conversions
    • Doing once a month “fast fashion” with 4-6 designs that are only available for 48 hours or limited time for attention and marketing – demand driver
  • Linda Crawford (@lcrawfordsfo), CEO at HelpShift (LaunchPad, WhartonXM)
    00-helpshift-4-7

    • Getting over imposter syndrome, realizing she is certainly an expert
    • From Salesforce and Siebel, had ran and grown a ton – wanted to get into start-up land again
    • Building the right team immediately, making sure everyone was on the same page
      • Had been recruited by headhunter and wasn’t predicting going into CRM, again – maybe fin or healthtech
  • Denali Therapeutics, (WhartonXM)
    denali-therapeutics-large

    • Focusing on neuro degenerative diseases, isolating proteins that cause damage
  • For the Billions of Creatives Out There (a16z, 3/16/19)
    SHOW_KO.eps

    • Brian Koppelman, Marc Andreessen, Sonal Chokshi
    • Creativity of business, talking about Brian’s original script with his partner – Rounders
      • Failed initially, people turned down and it wasn’t even a box office hit – super small chance to get the repeated viewings
      • Only about doing the work themselves, the rewards would come
      • Worked as bartender / music exec – would work for 2 hours to write a script
      • Were given a chance $5k to be partner – took advice from Horowitz of Beastie Boys’ sister
        • She said “if someone would pay you money without seeing it, then you should write it and you’ll have options.”
    • Balancing the success – his state initially (creative impulse being down)
      • Toxicity that made him bitter if he let the creative impulse die, even if he had other stuff going on
      • Knew he needed to do the work even if it meant failing
      • The job that was mundane / bitter (music exec), he felt better doing because he had already put in 2+ hours of writing to try
    • In Rounders – rejected by every Hollywood agency
      • Some said overwritten, some said underwritten (he still says unsure)
      • He sold the script over a weekend and Monday to Miramax
        • By Tuesday, every agency that had passed tried to sign them – he read them their notes on why they’d passed
        • All told him that they didn’t read it (assistant, reader)
      • Wanted to overstep to make success by getting a director that they agreed on the vision/leverage
    • Up to you to manage the relationships (founder and investors)
      • Learned at a young age how to talk to powerful people – outside of having college paid for or something
      • Father would put him in position to talk to people – in meetings, in production studios, etc…
      • Don’t treat them with a sense of awe or condescending. Also, make them laugh and you’re comfortable in your own skin.
        • Be able to grow, better yourself, relax and they’re not all-knowing.
      • For shows – make it on budget, crew taken care of, make people heard and listening – take notes only on what can make show better
        • Artie from Larry Sanders (show) – network executives discussion
    • Podcast Brian is not script writing Brian – major leagues now, not getting nurturing Brian
    • New Brian and Adam wouldn’t pitch movie Rounders now, it’d be show Rounders
      • Movies were the way that they communicated from the time
      • Televisions now and visual literature as much better than movies
    • Not letting emotional response dictate your actions – how do YOU comport yourself, not the other
      • Especially in partnership types (founder / CEO or other setup)
      • Has to be more important that the other gets to make the decision than you to be right (both need it)
    • Tim Ferriss w/ interviews, 90%+ meditate (quickly Marc says never so in the minority)
      • Brian does 2x / day, 20min & reduces the physical manifestation of anxiety
      • David Lynch for Transcendental meditation (David Lynch foundation)
      • Argue about journaling for introspection vs meditation as a respite or calming of thoughts
    • Billions stuff: As Good as It Gets scene response to how he writes women so well
      • More the result of everything he’s ever read, done, watched while he sits on his couch with music blasting with his laptop
      • Wants to write the characters to all be smarter than the writers are
      • How he stumbled on Vince Staples’ Street Punks in Axe’s bachelor pad (the scene and debauchery and debased)
  • Tony Kunitz, StatsBomb (Wharton XM at SSAC)
    • In london now, paying attention to premier league
      • Progression passing and going through pressure
      • Building the data, paying people to note and augment with computer vision
    • How baseball has gone through 3 stats progressions
      • First value of players and contracts
      • Changing how to play on the field
      • Now changing training and player development (swings, angles, etc…)
    • Also have changing coaches guard – need people to be able to coach properly or the new developments
  • Maria Konnikova (@mkonnikova), The New Yorker (Wharton XM)
    Books: Confidence Game & others

    • Psychology study and approaching poker after reading John von Neumann’s work on game theory
      • Appropriate mix of human decision making – very different than Go or chess
      • Luck and imperfect knowledge of others – strategy vs luck
    • Approaching Erik Seidel to be her coach – intrigue at her book research, and figured if it succeeded or not – could build a bigger audience
      • Still gives her a tough time at not knowing how many cards in a deck (52 vs 54)
      • Using the “marshmallow test” decision-making of Walter Mischel to see if people with high levels of self-control made better risky conditions
        • Made me think of how high school students beat AI experts at Berkeley AI conference after just an hour of teaching
    • Frame of references and deviations can thrive in environments of change
    • Talked about how pros de-leverage themselves by buying in on other pros (can be up to 75-80% of each other)
      • Know that one thing can boot them from a tournament, even if the math is in their favor
  • David Blanchflower (@d_blanchflower), Prof of Econ at Dartmouth (Wharton XM)
    • Children, Unhappiness and Family Finances paper, with Andrew Clark
    • How to gather the data for unhappiness and finance – not based on income
      • Did it based on “Do you struggle to pay bills?” – always, sometimes, never
      • Found that more people with kids struggle to pay bills
        • But children make them more happy, when asked and measured
    • How to change this – other countries have tried to address child care subsidies or tax breaks
    • Younger kids were also considered to be more happy than teenagers or older ones
  • Steven Rogelberg, author of The Science of Meetings (Wharton XM)
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    • Employees suffering by tons of meetings that don’t return as much
    • What type of meetings would be preferred? – Remote. What type of meetings are the least productive? – Remote.
      • Have to dial in how to make meetings more productive, especially when remote.
      • Shorter, planned meetings are better – Remote < 30min, for instance.
  • Caring Capitalism, Miriam Schoning author (Wharton XM)
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