jump to navigation

Find Your Own Value (Notes from Nov 4 to Nov 10, 2019) January 21, 2020

Posted by Anthony in Blockchain, Digital, education, experience, finance, Founders, global, Hiring, Leadership, marketing, questions, social, Strategy, Uncategorized, WomenInWork.
Tags: , , , , , , , , , , , , , , , , , , ,
add a comment

One of my favorite pieces and follows on Twitter of the last 3 months has been Tyler Tringas, founder of Earnest Capital. He came to realize that there existed a massive opportunity to fund companies that may not require or need the VC model of capital infusion – just a starter amount to do testing, easiest when people look to make sales and revenues early (maybe not the model for certain industries – marketplaces/user-dependent network effects not-withstanding).

Wild for micro and seed funding, when companies have yet to establish a true product-market fit or business model each time, typically stick with one financing style. I wonder how much innovation has been restricted by the funding style. There are advantages and disadvantages for each of those. But I’ve yet to come across more than 2-3 VC’s (out of 1000s) that do multiple and have a separation / adjustment. Makes sense from the LPs sense, but not necessarily if you want the companies to be SOMEHOW getting to a growth/scale that fits.

Less Annoying CRM Tyler King was cognizant about the capital and efficiency standpoint in business – everyone that doesn’t create value seemed expendable. Those that did will make it. I find that an important takeaway and general attitude toward either doing your own thing or being a part of a bigger company.

Hopefully each of these excite everyone enough to check the fantastic people/content out further!

  • Tyler Tringas (@tylertringas), founder of Earnest Capital (Indiehackers #131, 11/1/19)image02

    • Funding for entrepreneurs, founders, outside of the ecosystem – profitable and sustainable
      • Not competing with other options – just found a large group of bootstrappers that aligns with the goals
      • RBF doesn’t work for some
    • Green field space in the past – no competitors and could gobble the market – big risk early but if it’s worked, it can be massive
      • Launching and building became cheaper and more niche for diversifying the opportunities – limiting VC scale
      • When he sold his first business, he handed over his Stripe account, Github and Roku
    • Software companies – no retail shop meant your option was “raise money” = “raise venture capital”
      • If you were doing a bakery or something, you had a plethora of options
    • 5 years ago, he was one of the loudest critics and blogger
      • If he was bootstrapping, can you work backwards and what would you have wanted to work with
        • Is it actually a fit for you
      • No board seat, mentors for long-term
    • Raise money when you believe the money will unlock value in the business
    • Had Storemapper – where he figured out what he wanted to do next
      • Derek Sivers – Tarzan move – need the second vine before letting go of the first vine
      • Pivoted to finance to do finance models behind wind/solar farms
      • Then to micro SaaS Indiehacker before noticing people struggled to get businesses off the ground early (his $50k cc debt)
    • His basic bet is that it’s not an iron law of physics that 90% will fail
      • His fund will fail if it is an iron law – and his investors are aware of this
      • He believes the VC model is circular in that if you require growth is 11% a month for 12+ months, more likely to become unicorn
        • But if they don’t hit that, then they’re failing
    • Really interested in niche markets for a piece of software that serves a market – eg Hostify, Endcrawl post-production credits, etc
  • Tyler King (@lessannoyingcrm), cofounder of Less Annoying CRM (Indie Hackers #128, 10/21/19)
    5bac7c2c446aa-resize-710x380-1

    • Bouncing between companies after college, had joined a startup that grew after Series A, only to be acquired
      • Everyone was fired except for 5 cheapest employees (including him)
    • Marketing channels not working – word of mouth, sometimes paid ads, Google AdWords or Facebook
    • Customer support – competitive advantage as going slow, not being held to revenue standards
      • Can focus on customer service and product features
  • Maren Bannon (@maren_bannon), cofounder & Partner at Jane VC (50inTech Podcast #11)
    https3a2f2fblogs-images.forbes.com2fcarisommer2ffiles2f20182f102fjane-vc-logo-text

    • Cold-pitching VC – for cold emails, take time to research the investor and explain why they’d be interested
      • Adjacent industries, past role in competitive area, resonating project
    • Nailing the one-liner / 10 second offering in a sentence
    • Bullet points, succinct including certain things
      • Traction for user/revenue/notable customers
      • Advocates, angels with industry expertise
    • Why you? Brief description for the ideal team.
    • Include an ask – why are you contacting? Advice, seed round, etc…
    • Include right materials (letter can be brief, but more info attached or deck or 1-pager)
  • Ok Boomer, Microtransactions (16min on the News by a16z #13, 11/3/19)
    • NYT Taylor Lorenz – (perennially behind others but gets credit for the writing of it)
    • Taking on a meme, protest for what’s rigged – Gen Z affected by Boomers “hurting us”
      • How memes can turn into clothing, sales for songs, be further monetized
      • Social media generating social phenomenon and transactions and merchandise
        • V1 was ad-based, then quasi-based for sponsored ads (protein powers and such), direct transactions for monetizations
        • Can get demand and feedback for multiple types of merchandise before launching and sending out efficiently
    • In China, commerce is already in the app – button after 2nd loop you can complete purchase inside the app
      • Close the loop on-platform in China
    • Marketplace on games for platform – supporting size/scales that fraudsters can open up accounts and quickly find monetization structure
      • Build false economy and cash out quickly – advanced fraudsters for automation, maybe with virtual trades and purchases
      • If it’s $10k, they’re wrong – probably multiple millions, if not more
  • AI in B2B (a16z 10/23/19)
    189-1892846_people-ai-logo-png

    • Oleg Rogynskyy from People.AI, for sales and marketing
    • Very few users that give you private, anonymized data is much harder to make them comfortable with this data
      • How valuable is the promise you’re making to customers vs the cost to achieve it
    • For entrepreneurs: if there is human activity that generates data for how they do it that isn’t being captured, there’s a ripe opportunity
      • Shipping containers, wind farm, location of Uber driver – reliable data, aggregate and figure out what may be the next best action would be
        • Significant growth and acceleration for these actions once network effects apply
      • More sensors, edge computing, salespeople, drivers in network – more data collected and more patterns you can see
        • Smarter the graph becomes, better the predictions may be allowed to become – then, more money and lures in other network participants
      • Wind farm operators: know it will break after it breaks but someone in comes in that was there collecting data ahead of you, they are up still
        • Competitor automates process, you can go to same vendor and catch up but if you miss AI, you can’t catch up
      • Oleg mentions that he thinks AI is zero-sum and that the Fortune 500 will look very different in 10 years
    • All customers benefit from generalized data – first customers have to do a lot more than others
      • People writing contracts: only sell to me, but customers would be relics
    • When the data model changes, systems of records die – Andreesen
      • Hierarchical first, then on SQL, then cloud SQL and Salesforce
        • Next gen data model should be graph – federated shared graph model – instead of you pulling data and searching, it will push to you
        • Personalized actionable insights – pushed through the channel you’re most likely to engage with – maximum focus
      • Level of intent for the user should be known – don’t have to expose the complexity but you can be shown and execute that
    • Difference between autopilot and co-pilot
      • As human, something mundane or repetitive – automating the functions to make it more efficient use of your neurons
      • Augmenting ability to make decisions – racecar that may know what’s around the curve, making us super-productive – more human
    • Needs to be 10x on the platform vs off the platform if you’re afraid of the set-up
    • Sales & Marketers specifically
      • Shifting how they work – day-to-day: 1/3 of time on manual data entry, 1/3 on prospecting (classic problem), 1/3 on face-to-face doing selling
        • First should be gone, 2nd should be done with help on ML and AI for value-add prospecting and automate outreach
        • Face-to-face: Machines can’t replace this but may be able to help out
      • Training on the end point – best way to sell, unbundling learning management system
    • Wants to do bottoms-up but currently top-down – through standard procurement channels
      • Users will demand data-hungry approaches and solutions – apps that built AI on user data but not merging with enterprise data
        • Have easier time for value adding in these cases because you just want data to increase (single player can do single player)
    • Biggest surprises: inside sales for Oleg starting in 2006 pounding phones, went out and did a software change before downturn
      • Learned timing matters at that time.
      • Then started Symantria – sentiment analysis API in 2011, size of market matters – 20-30 companies needed it (80% of market)
      • Remembered that he was put into a conference room with COO (head of sales), cleaned Salesforce and within a month it was in ruin again
      • Couldn’t understand sales team when he took over, why it wasn’t ramping up quickly, losing deals, hiring more people but productivity was fine
        • Supposed to have data in CRM but never had it
  • Martin Mignot, Investor at Index Ventures (20min VC 2/1/16)index-ventures-768x469-1

    • Investments including Deliveroo, Blablahcar, Algolia, SwiftKey, others
    • Worked on 50 transactions like CodeAcademy, FlipBoard, Soundcloud
    • UBS Investment Bank on TMT team and co-founded beauty subscription company called Boudoir Prive (acquired by BirchBox)
      • Comes from entrepreneur family and action/doer and the creative
      • VC seemed to be between acting and thinking part of the job as he’s followed it for 10-12 years
    • Split on idea of career VC without operating experience
    • 3 ways to look and slice companies: at Index, they have thematic and geographical approach since they need to have ppl on ground in Europe
      • Stage-focused: seed / growth
      • Thematic: fintech, adtech
      • Geographical: Germany, France, London, Amsterdam and building the network there with angels, seed funds
    • 6 hour drive test or drunk test with founders – no formal founder test to determine invest-ability
      • Are they able to attract and hire the people they need
      • Trying to decide if the risk is worth reward – not beholding themselves to a valuation cap if they believe
    • Favorite book: I have America Surrounded by Tim Leary
    • Investor who has shaped his theses is Fred Wilson – being right, companies and sharing insight, communicating as USV and himself
  • Elaine Beak, consulting and HBS (Career Talk, Wharton XM)

    • She wasn’t too scared but whenever she had problems, the solutions would arise
      • For others, the security blanket is the scariest for most people when she tries to help them on decisions or convincing them
    • Writes her books in 2 weeks each – written and published 80+
    • Word of mouth, should have 6 months saved up, and have 50 people that you can contact for saying you’re going out on your own
    • Following own rules:
      • Billing clients the same day that you finish a project.
      • Clients may have 30 day billing window, so if you waited 2 weeks, they’ll forget or not be as appreciative.
    • Don’t discount, add to the service instead – charge more
      • Bad reputation for discounting.
    • Go for the big fish – large companies but the time to get smaller companies is the same for larger. Repeat business is there
      • Repeat business and more of a budget to continue work.
    • Learn to say no. Non-paid speaking engagements should be limited.
    • Manage your time well – make sure it pays off.
      • Find ways to automate things – invoices, payroll, accounting, responses to common questions
        • Make a standard paragraph or find an app/template once you have these
    • Project will end but not relationship – stay until the end and do a good job for the client.
    • Incorporating, LLC for sure

Reflect After, Not Before (Notes from Oct 28 – Nov 3, 2019) January 14, 2020

Posted by Anthony in Digital, education, experience, finance, Founders, global, Hiring, Leadership, marketing, questions, social, Strategy, Uncategorized.
Tags: , , , , , , , , , , , , ,
add a comment

I was a madman and finished through StartUp Podcast and their Gimlet story during the week of these notes. Pretty cool to hear a play-by-play for what was going through their thoughts, especially when they’re simple questions but hold such a vital block until the next challenge. It’s comforting, as well, that many people go through this. It truly doesn’t matter the size of a company or the hoopla associated at the start, there is a huge weight on the shoulders of first-time entrepreneurs coming from full-time employment. Even with the best managers or people in their roles, there are so many things that go into building – and it’s always changing.

Thankfully, there is an increasing amount of resources now to help you. A large number of people who have scratched the entrepreneur itch have produced reflections, notes and strategies to succeed/fail/avoid mistakes – all through the eyes of those who have succeeded marvelously, exited, failed spectacularly or even quietly. We’re lucky that we’re in this time, now, simply for the reason that all it takes to DO is just that – ACTION, DO. No longer is there a lack of playbook for the particular road to the madness. More tools, more options and it’s whatever you decide to go with. So, the biggest problem is probably now analysis paralysis. Want to make an educated guess as to what may work BEST, but it’s hard to know that. Experiment where you can and take leaps everywhere else.

I should take more of my own advice, and I’m glad I heard a few podcasts that push me further into this train of thought. The ideas will eat at you until you do it. Don’t want to regret inaction – hard to regret action since it’ll be what you did and how you took that path. Hope you all enjoy the notes / podcast in each of these paths.

  • Jeff Seibert (@jeffseibert), Sr Director of Product at Twitter (20min VC FF032)
    crashlytics-logo

    • Former founder of Crashlytics, 2011 with Wayne Chang for 300mil users worldwide
      • Acquired by Twitter in 2013 for $259mn
    • Cofounded Increo in 2007 and served as COO and lead architect until acquisition by Box in 2009
      • Build, share and innovate on their ideas – idea-sharing (doc-sharing, feedback, collaboration)
      • Had raised seed $500k in early 2008 – thought it would last about 18 months – for 2009 start, had 6 months to raise
        • Investors were pulling back, taking meetings but not investing – met with 34 / 36 firms on Sand Hill (says it was too much)
    • Grew up in Maryland, got Mac for Dummies and had visual application where he changed “Hello, World” to orange color
      • Went to Stanford for college, wanted to think about startups so started group
    • Transparency – full may be healthiest culture but it’s crazy high, crazy low (so CEOs should moderate) – entire team through cycle is actual stress
      • Productivity can dip if whole team feels this – at Increo it was very transparent
        • Acquisition discussions meant they had 2 months of not being productive – founder has to swallow the ups and downs
          • Box – still was furthering the mission for the acquisition – they had tons of documents and could provide lots of value
    • For Twitter acquisition – their executive team had a deeply nuanced view of the mobile ecosystem
      • With one of largest apps, had tons of connections, users, and feedback – lead them to have a good scale and vision for the next few years
        • Mobile developers and could succeed in that environment – could provide Crashlytics to grow team and build out products
      • Twitter was acquiring 2 companies a month – total transparency of motivations for acquisition and why they were in plans
        • Why was it being considered by company – couldn’t guarantee technology, headcount but they were open
          • He moved out to SF because they wanted rep for the company
    • For Crashlytics – he took both coast moneys – Flybridge (Jeff Musbridge who suggested a question for how he met cofounder)
      • Wayne Chang – few big startup events that people go to – friend had invited Jeff, was talking about side projects – agreed to meet later
        • He had a very deep understanding of the technology and intuition for mobile developers
          • Gave him a list 3 weeks later out of the blue with mobile apps, their lead, interview notes for feedback and commitment to use beta
          • Executes like crazy – fantastic relationship
      • Thought they were set up for success when they were acquired and reporting to VP of Eng – didn’t anticipate that they had a re-org
        • May put you on other location, lose some activity – should have been a “we want 6-9 months to report / integrate”
      • Goal for Crashlytics was to solve mobile bugs/crashes – 100s of millions of devices, 10s of k’s of customers
        • Could leverage Twitter name and offer the product for free – so instead of doing freemium and enterprise, they could do free everyone
        • Total distribution – it was the perfect opportunity – now have 1billion devices
      • Have entire team (save for 1) and it has tripled
      • He spent 2 years after deal leading developer’s platform (all over world on Twitter’s services) before moving to consumer product (BlueBird, Twitter app)
    • Daring Fireball (Apple fanatic) for favorite blog, career highlight was speaking at Stanford (one of student coordinators originally for Entrepreneurship)
    • Acquihires – not a fan for startup perspective, but understands from other side
  • Gimlet 8: Our New Show (StartUp Podcast 11/22/14)gimlet-and-spotify

    • Hiring new people that could be superstars – TLDR hosts WNYC
      • Offering lower salary than before but a revenue sharing – “incapable of feeling joy, has had an anxiety stomach ache for the past 5 days”
      • They had a bunch of questions: Editorial/managerial relationship (bosses), ad spots for numbers, CPM rate, $ for ongoing web support, logo
        • Had gone through budget stuff initially – PJ & Alex had been part of a union, stability – 6 months later – can they get a commitment?
      • Tough to give security if they don’t have the security – 4 year vesting plan
  • Gimlet 9: We Made a Mistake (StartUp Podcast 12/6/14)
    • Uploading first episode of Reply All – new podcast show
    • Making a terrible mistake of not clarifying an ad intention for “This American Life” for a son’s Minecraft website for Squarespace
      • Having a discussion with Ryan’s (son) of Laura, who eventually came on to talk with Alex about how she’d felt and interpreted
      • Establishing processes and policies for the advertisements
  • Gimlet 10: Mixing Art and Business (StartUp podcast 12/22/14)
    • Not wanting to add to spending part of business (75% pay cut for Alex)
    • 3 months of initial episode of StartUp, 1 month for ReplyAll, and 8 employees in an office with salaries/benefits and advertisements
      • Brought in old spreadsheet for month to month project
      • Miscalculated the audience numbers – said they’d have 20k listeners after 4 months and they’re at 10x that
        • Plan was to have 3 shows and then spend a year to build audience
        • That plan is gone for audience numbers-wise, but to do another show would cost more money
    • Ramping up spending is scary if the audience didn’t continue to grow
    • Talked to their first hire, Caitlin, producer and her knowing and shouldering a lot of the anxiety
  • Nick Craig (@nickcraig1), author of Leading From Purpose (Wharton XM)
    covermsall

    • Love as part of purpose statement when he was with West Point staff
      • Love of family, country, service
      • Where service meets purpose
    • Purpose is what everyone can take between business and personal
      • Most people are smart but asked, as fish, to climb a tree (Einstein)
    • Ben & Jerry’s turnaround – schweaty balls flavor – M&A / movement guy that stayed at B&J’s
      • Doubled revenue to $1 bn from 2011-2019
    • Level of uncertainty has risen for almost every company
      • Used automotive example – what are we going to be selling, buying
      • Banks
      • Timelines are shrinking
    • Talking to Bryn Abraham – love to figure out her purpose
      • Figured it out, then she says she wants to write the foreword for your book (what book – his response)
        • Set him up with her agent (Ariana Huffington and Peter Schultz’s), who had taken his Wharton class
        • The agent told him she’d represent him for his book

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.
Tags: , , , , , , , , , , , , , , , , , , , , , ,
add a comment

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)
    bgtitle

    • 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)
    nxwkfnsj_400x400

    • 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)
    referral_image

    • 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
    logo_vertical-drkgry2x

    • 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)
    47315_0

    • 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.
Tags: , , , , , , , , , , , , , , , , , , , , , ,
add a comment

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)
    favicon_200px

    • 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

Push back from a Raise (Notes from Sep 30 – Oct 6, 2019) November 27, 2019

Posted by Anthony in Automation, Blockchain, Digital, education, experience, finance, Founders, global, Hiring, Leadership, questions, social, Strategy, Uncategorized, WomenInWork.
Tags: , , , , , , , , , , , , , , , ,
add a comment

In the Bay Area, it’s inevitable to see and come across people celebrating rounds of fundraising, especially via the internet/news/Twitter/tech scenes. Primarily this is the case if you’re involved in start-ups, VC, finance and related meet-ups or online communities. Those are often great results for the investors (probably not celebrating, otherwise), but not exclusively great for the team of the company. Hopefully the raise or exit is by choice, part of the strategy in the short and long-term that the founders/team had in mind to either grow or expand or keep doing what they’d envisioned. Execution of the strategy and for it to go as planned is celebratory, don’t me wrong – but it’s a means to an end, not the end.

I don’t want to complain, but I think, along with many others, that the celebration of these types of wins give the wrong feedback for what constitutes celebration / achievement. This is simply a byproduct of this being the most visible / public part of a company’s journey, and certainly an investor wants to share what they can (especially seeing as they have plenty of updates that they’re often not allowed to disclose). Funding raise and new rounds, once public, allow them the chance to congratulate and feel accomplished on the journey. Though, really, capital is merely providing readiness to the next step.

The opposite side of this would be in sharing numbers, customers and wins outside of funding, a company/founder leaves themselves open to competitors or unfavorable partnerships/cycles/etc. There ends up being an information asymmetry that could be detrimental to the business. Or, worse, put it out altogether. Somehow, I find that even if you’re sharing in an effort to be transparent, at this current business climate and consumption of business/funding, there would be those that may complain even about a seemingly arbitrary high-margin or poke holes in pricing, despite offering a seamless customer experience, high value to a business or create ample time value for the enterprise. I’ve seen a few bootstrapping/side-project companies go from transparent early and once they hit traction, the growth and curve stage will prioritize the privacy of the business going forward. Who can blame them once there is the semblance of confirmation of a growing business potential?

I wanted to bring this up and I hope in the future there’s a designed method to somehow make more company information public/transparent (Baremetrics is one such company trying to make it more accessible). Maybe it will be an aggregation system that anonymizes data but has enough companies in certain spaces that you can compare (sorry consultants, that probably gets rid of quite a few of you). I think that would be a new frontier and create excitement that would get people other than investors and exit/money-focused-seekers on board with the true fun/value of creating something.

Hope you enjoy the rest of my notes!

  • Thirteen Minutes to the Moon
    268x0w

    • Ep. 8: We’re Go for Powered Descent
      • Final 13 min begin in this episode
      • The team, on this day, will either land, abort or crash. 102 hours and 12 minutes into mission, 2 minutes 53 seconds to the acquisition
      • 1 million miles away at 1mi/sec moving toward the moon
      • Program 63 to determine when and where to fire off the engine – how to point for the proper trajectory
      • Radio link was lacking once they were in view, again – needed this to get telemetry data, for instance
        • Go or no-go for descent based on stale data and then had to make it through Michael Collins to relay to team
      • Lunar module was going 20 ft/s faster than it needed to be – if it went to 35+, they’d have to abort
        • Radar pointed at surface and ready to lock on – said that it’s going too fast
        • Episode 2 on Steve’s point of view on how the overloading machine – Eagle’s altitude vs estimates sense
      • High stress at that point, 150+ for Armstrong at 12:02, even though they weren’t doing anything at that point
        • Had to prioritize the mission critical tasks and lose some of the computer functions
        • Computer was diagnosed – delta h coming up was problem for P1668 – lot of alarms and wouldn’t have to do operation cognitive load
    • Ep. 9: Tranquility Base
      • Halfway down, about 16000 feet above surface
      • Fuel as critical, but said as Fuel 2 gauge – needed a bit of gas when they land
      • P1202 Eagle computer coding too hard, overloading – repeatedly as they get to 2000 feet and 50 ft/s
        • All flying done by Eagle – thrust, rate of descent and flying (no video displays)
        • LPD (Landing Point Designator) – where to look for landing zone on degrees
      • Gas for hover level and below hover level – timing from controller within 10 seconds
      • 10 years and 400 engineers finally landing on the moon as they hit contact light – fall and shut off with 18 sec of abort time
      • Had dust kick up as falling – caused jerky movement and couldn’t see surface
        • Had to go through stay/no-stay calls to be ready to leave within 40sec of landing
      • Watch used for the timing had changed times because his daughter kept on timing herself as a twirler – he sent it to Smithsonian
  • Reshma Saujani (@reshmasaujani), CEO of Girls Who Code (Wharton XM)
    eb61dc56f4b5cc4002b007e255d8bb00

    • Author of Women Who Don’t Wait in Line
    • Discussing how her failures running for public office as motivation to continue working
    • Wanting to work at things you’re bad at (compared to an
    • athlete repeatedly being told to perfect)

      • Guys will naturally have these things that they are poor at but continue with them, either out of enjoyment or otherwise
      • Girls often only want to do things they’re good at
    • Not quitting a job, potentially, because of the comfort and not wanting to be bad at something
  • Barry Zekelman, Exec Chairman and CEO of Zekelman Industries (Wharton XM)
    0718zekelmanindustries-logo

    • Discussing being nearly broke in 1990s and then again in early 2000s
      • Getting lean, working on the business and margins
      • Got a $bn offer from Russia steel conglomerate in headed into 2008 – fell through with crash
        • Said this was one of best things that had happened to him
    • Having the right people
  • CEO of Mirror.co
  • Patrick Conway, CEO of BCBS-NC, How to Pay for Healthcare based on Health (a16z 9/6/19)
    (@patrickconwayMD)

    • Started as state resource – TX – teacher unions, PNW – timber, NC, and 2 Blues brands (cross / shield)
    • Need a willing payer to drive change, virtually integrated system at a state level (doesn’t think you can do it with single provider)
    • All drivers of health and healthcare – biggest driver of readmission to hospital, couldn’t get transportation home
      • If you had to give a bus token and they had congenital heart failure – chance of seeing primary doctor – some will pick people up
      • Hospitalization and drugs for biggest costs for health care
    • Food insecurity – failure to thrive
      • Hospitalized kid for lack of food cost $40k (could have fed kid for years)
      • Had a for-profit payer that was confused on why they were doing it – huge, positive outcomes for child obese
        • 10-15% of population, churn for term (vs near-term) – insure people often for decades, right thing to do
    • Insure 60-70% of population so they can look at long-term view
      • Some countries will measure outcomes (churns may pay toll, or collect toll) – Medicare Advantage for 3-5 year cycle
        • MA instead of paying for service, you pay for health plan for year and they get better plans for controlled care ($0 premium)
      • Broadening investment window so they’ll take care of you
    • What rarely happens (but more effective) to think about what makes the system better – policy proposals
      • Autism arena: here’s what you need to do in benefits, coverage and here’s a child/mother that brings personal side – data for effect
      • Drugs: pharma says PBM and middleman (senator called him Chair of the Death Panels) – wanted to pay for value for drugs
        • Everyone was against it (pharma lobby and doctors vested in drug prices going up)
    • Interesting areas for real progress
      • CMMI Innovation Center for delivery system reform – bipartisan and paying for value
        • Social determinants – opportunities/drivers for health polls better with Democrat and Republicans (will pay taxes, uncommonly)
      • Effectively coordinating care across silos (especially with food, housing)
        • Ear infection – can click a button and it’s instant but for a kid that’s hungry, it takes forever – needs to be the same
    • One of the board level metrics in company is food insecurity for the state – think they can bring it down 20% (state is 20% – some counties have 9 of 10)
      • Looking at partners for data analytics for screening, identifying and getting the next step – close the gap
        • Any state in America: who in the state is food insecure, needs housing and transportation
          • CDC data measures on an annual basis compared to real-time – needs to be at-scale through technology
          • Build the connectivity – scripts are now all electronic, for instance – clicks button to cosign
      • Benefits for scale across multiple states – investing in same things, data analytics, CX, seamless platforms, tech – accelerate pace of change
    • Second day at BCBS was retirement party for Brad Wilson, former CEO after 20+ years – governors, CEOs, 1000s of people, donations
      • Fundamentally different than a national payer – not the same connective tissue than them for NC and Oregon
      • Partners across state (like theirs with Cambia) does drive value, lower cost and improve value and care
      • If you dominate a market and price set, it has negative effects (can’t recall any 2 hospital systems that merged where costs came down)
        • BCBS reduced individual costs by 5% driven by value-based arrangements with providers – UNC said they were willing, Duke said no
    • Building the link between tech and total cost of care – new shiny thing “AI” and data and ML – what does it do?
      • Connective tissue has to go to outcomes and costs of outcomes – his hypothesis is for the companies to focus on the actual problem to solve
    • Value-based care – independent physician groups (larger, organized) are the best
      • Hospitals are least successful
      • Advanced primary care models – compensation for primary care goes up, including down to provider level – most payers pay 6% (8% at BCBS – 10%+)
        • If you spend 10%, you get better health outcomes at a lower cost – become front door and invest in care management
      • How do you integrate and treat mental health conditions
    • EY’s concentrate on administrative fees – he’ll guarantee savings of $15-30mln “Don’t know”
      • Guarantee he’ll beat them on price, then get them to join – done it multiple times, making it simple
      • “Don’t believe our simple math? Fine, we’ll guarantee it.” Every business is a healthcare business.
  • James Cameron (@jamesdcameron), investor at Accel (20min VC 1/20/16)
    logos_master_accel

    • Focuses on marketplaces, enterprise software, security and fintech
    • Founded BipSync, SaaS-based research platform for investment management and was on tech banking team at Morgan Stanley
    • Corp lawyer at Freshfields Bruckhaus Deringer in London, Hong Kong, and Shanghai
    • Aussie originally, wanted to get out and went to London and worked with M&A and IP law in UK
      • Law wasn’t for him, tried some other things like Morgan Stanley – went to SV and Stanford after a few years
    • Pitched at Accel for BipSync and was turned down initially before getting the role he has now
    • Ton of time on planes covering massive geography – methodical, premeditated approach with a prepared mind with ideas/areas
      • Helps identify what they want to find in great companies – prior year, looked at API companies, web hits
      • Uber, HotelTonight, InstaCart all connected and built on other people’s services and API – Apx conference
        • Algolia and Jason Lemkin, French company – CartaDB mapping company by API
    • Opportunistic approach for being at right place right time – relationship driven and warm intros, relationships with VCs or angels, meeting early co’s
      • Approachable, open with events
    • Exciting among B2B and enterprise, IT Infrastructure, security space (from UK to Israel)
      • Docker and container ecosystems – shift from VM to lightweight containers
      • CrowdStrike, Israeli one (country with 8mil ppl with more NASDAQ-listed companies than all of Europe, Japan and China combined)
    • Expanding industries – Ireland, Spain along with typical start-up ecosystems in Europe
    • Reads a lot of history books, Peter Akroyd, classics for Crossing the Chasm – scaling enterprise software companies
    • Favorite blog – lots of Medium articles, but “The Morning Paper” for science explained simply
    • Favorite founder for Will at Deliveroo – sheer willpower
  • Farbood Nivi, CEO cofounder of Coinmine (Lindzanity 9/25/19)
    blockfipluscoinmine-768x512

    • First time on show was in April with BTC at $5k
    • Randomly taking an Ambien or Adderall
    • Coinmine – automating financial world, interoperable mining whatever exchanges to BTC at best rate
      • Handshake mining parallel DNS
      • Facebook and Shopify as the 2 main consumer markets – Shopify makes it so easy, Facebook – he said he’d give $1mil / month
        • Instagram is too good as a physical product and sharing
    • OpenSource wins because of practical revolution – F500 can use them for better software for 200 less engineers
      • All big tech contributes to open source community
    • Original Linux administration / system admin predicting 8th and 9th layers of internet
      • First 4 layers (OSI model) – data and physical layers, wiring, packets, buildings
        • Customers were academics, companies were Cisco, IBM, Deck winners
      • Internet portion – apps, websites are layers 5 through 7
        • Users, session, front end application layers
        • Businesses and eventually went personal
          • IBM, Apple as winners of business chunk (hardware, software, services)
      • 8th layer is finance, 9th layer is governance
        • First protocol was Bitcoin for finance – first solution for this layer
        • Discussion of governance – open protocol (vs closed protocol of army owning / developing it in the first place)
      • Tezos – really defined governance model, for instance
    • Citizen tech for 8th and 9th layers – replacing a functional piece of society with Bitcoin participation
    • What could go wrong? Gutenberg press as example – people sharing nasty things vs lead to Renaissance, Enlightenment
    • Framework that captures societal level – sovereign individual (too big a word, book was good) – citizen / societal
    • Problem with money being pushed in, formal understanding (YC as a factory, don’t leave the machine)
    • Act like the CEO – service worker, just managing people above and below, provide services to entrepreneurs
      • Need to get out and have epiphanies by traveling or face-to-face with people

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.
Tags: , , , , , , , , , , , , , , , , , , ,
add a comment

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)
    ggkl0ilv_400x400

    • 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)
    57d6e66a1300002a0039b71a

    • 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)
    unknown-4

    • 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

Inference Isn’t Just the Data (Notes from Sep 2 to Sep 8, 2019) October 14, 2019

Posted by Anthony in Automation, Blockchain, Digital, experience, finance, Founders, global, Leadership, marketing, questions, social, Strategy, Uncategorized.
Tags: , , , , , , , , , , , , ,
add a comment

Internet has enabled more data, but that’s not necessarily a good thing for most. I’ve seen this for all ages – somehow, this deluge of information provides a glut where, instead of doing more research (because more is available), we seem to do less. There’s a laziness that has arisen, where the least amount of work is done because the sources are abundant. And this is problematic. And emblematic for what has transpired over the last decade with the web 2.0.

I say that it is problematic, but I do suspect it’s actually created a ton of wealth. The opportunity of doing a small amount of extra effort to sift through or provide a more nuanced/researched view in order to extract a ton more value from a wider audience is awesome. That’s never before been more evident or available to a wider group of individuals. Especially when, with nearly the world online, communities that would normally (past) not have had markets, all of a sudden have vast reach – internet enabled the connection across many neighborhoods/cities/regions/countries/continents. A magical thing for those that wish to do the research, put in a bit more work, and most importantly here, share the work for the public, at the cost of potential exposure to those that disagree or have reached a different conclusion.

I, for one, am all for this abundance. A sharing of differing opinions and agreement or stories of anecdotes allow us to bring more data into the fold. That should enhance any inference/analysis on the information brought to the table – and real applications, at that. However, like many good things, there will be a small portion of people that are bad actors or looking to just ruin the good derived from a community or topic. Also, may see plagiarism or curation that doesn’t really add anything – worse, monetizing the curation of something where the value isn’t created. For 100 people, 1 bad actor would still be 99% good. 99.9% of 10,000 people is 10 bad. That’s a fair amount, but when you have a commonality among the people where some join for the purpose of providing poor information, or unproductive data or ruin the experience for the rest, it can tear it apart. And that’s becoming harder to gauge, I’d imagine (rise of community managers and insertion of social data and other related ‘checks’ inserted).

So that I can get off this little soapbox, I wanted to bring attention to those that have so far only consumed information – please share and try to bring some new insights. It will hopefully bring in a new person that sees it – refreshing eyes can be useful on new information- we all have different experiences. And for the bad actors, hopefully there’s an end goal that does provide some value – it’s tough early on but the right communities invite opposing views to allow others to draw conclusions. Inferences aren’t merely opinion on the shallowest, easiest data to gather, but rather a collection and reflection on a set that may agree or collectively provide information to allow a deeper understanding.

Enjoy the notes I had from this week! I do suggest going through the a16z podcast 16Min on the News (for news from the week).

  • Apple Card, BEC Scams Fed (16 Minutes on the News #7, 8/25/19)
    • Became available this week – partnering with Goldman Sachs and Mastercard coated white and titanium
      • Apple moving into financial services, no typical sign-up fees or late / overdraft fees
    • Apple as reinventing existing categories repeatedly, so even changing basic stuff like making the transparency feature
      • Reminder of SMS and Innovator’s Dilemma (making money in core with new business on horizon because you’d cannibalize yourself to enter)
      • B2b2c as incentivized to grow – GS not a big consumer lending (Marcus last 2 years), but can drive growth
    • Offering 3% cash back when purchasing from Apple, 2% with Apple Pay, 1% from card – incentivizing payment mechanism
      • Interchange fee is expensive but if they become default payment mechanism, they can pivot
      • Money as emotionally driven vs functional and product – making sense in rational isn’t the move
      • Nobody wants to budget just as nobody wants to diet – instead, automate small financial decisions to help achieve better outcome
        • Self-driving money: not having to make the decisions to optimize your financial life (too high friction or don’t know about them)
    • GS with $350 to acquire customers – traditionally, credit cards have been onerous
      • Future: everyone should have access to payments via unsecuritized debt without great credit
        • People that are creditworthy with great credit scores but those that never pay bills and have bad credit
        • Overly negative in a different sense (ones that are almost wealthy that end up getting in trouble)
    • BEC scams – business email compromise
      • More than doubling each year – big deal on security
      • Sending email messages to send money – better technical systems are now just asking individuals (social eng as most effective form)
  • Ben Lorica, Chief Data Scientist at O’Reilly (Big Data Beard 8/13/19)
    268x0w

    • Future of Big Data with O’Reilly’s
    • Would take handle “5g” or something related for the future
    • Collecting, aggregating and normalizing big data now – business intelligence reports, simple averages or trends
      • What else can we do? Improve or automate processes/workflows or extract higher revenue from systems
      • Natural evolution and what are the bottlenecks for the AI / ML processes (are you early stages, models in production?)
    • Quintessential marketing for hype but developing a use case for the application
      • Tools for labeling data, data programming
      • Mentioned how to do ML with demo and user cases for interacting by Product Managers – SF O’Reilly conf
    • RPA with proper use case and proper implementation (close to the task)
      • Successful organizations have figured out how to bridge that gap – technologists with communication/collab on business side
    • On open source side, TensorFlow and PyTorch as top 2
      • Data science side – announcements about internal data science platforms to work together (share pipelines / features / models) openly
      • DataBricks, one company that he advises, also works on delivering enterprise data science platforms – IBM, cloud vendors
    • MLFlow as DataBricks’ for managing and tracking ML development life cycle
      • Monitoring alerts for retrain model, feature drift, deploy model against live data (simulating on live data but not production)
      • Model governance as tools that excite him – highly regulated industries like banking, financial services – what models and metadata
        • When was it last touched, trained, on what data, etc…
    • Managed services based on open source – managed Spark, for instance – minimal log in
      • If I have a better model but worse data, the better data should win, and that’s what drives competitive advantage
    • Big push toward hardware space – training at the edge or even model training in general – specialized hardware for accelerating DL / ML
      • More researchers working on data cleaning and data repair
      • Snorkl from Stanford researchers – easier for more people to use the product
      • Reinforcement learning – he’s most interested in UC Berkeley’s RISE Club’s REY (sp?) – distributed computation platform in C++ low latency
        • Building on top of REY as Odin – can cover 80% of Pandas, faster and other libraries
  • Frank, Chief Business Officer at Edge Sports/Analytics (Wharton XM)
  • Becky Miller, co-founder & CEO at Tinyhood (Wharton XM)
    858aeebd82f3bb14afd339eda1db

    • Wanting to connect with other supermoms and doing a community
    • Deciding to do parenting classes online and helping subscriptions
  • Josh Phifer, co-founder at Barn Owl (Wharton XM)
    barn20owl2020rgb20_stagexchange_intro20pic

    • From Wyoming / Nebraska ranching, went to Wharton
    • Starting with water sensors but wasn’t quite working or gaining traction, thought drones would work initially
    • Pivoting as they were running out of money to find a product – camera with satellite / cell connection from China sourcing
      • Bootstrapping about $175k from friends and family
    • Camera use case – all kinds of agriculture applications for checking – can send picture via app, timed or on certain amount of times
      • Solar and battery powered
    • Obsession over the problem, not marriage to a solution – feed the need
    • Initial app created with Bubble.io, introduced at Wharton – low code solution with logic programming
      • Hired on an employee – electrical systems who could help with building out full app and logistics
  • Mark Nathan, CEO of Zapari (Mastering Innovation / Wharton XM)
    • Discussion of moving from engineering, building stuff to the medicine / insurance field
    • Not necessarily working on analytics, but collecting and informing consumers and other stakeholders
    • Doesn’t foresee regulation as a hindrance, since what they’re doing isn’t predicated on that
    • Primarily started with SoCal, Medicare and getting adoption from pharmacies – assisting nurses on customer service end with their call center, ex
      • Not set up to deal with pharmacists or customers, can alleviate this and help with people fulfilling prescriptions
  • JD Long, VP of Risk Management for Renaissance Reinsurance (Data Framed #37, 8/27/18)
    renaissancere-grey

    • Starting in R stackoverflow asking questions / answers and building the community with Mark Driscoll
    • Graduated in undergrad, starting masters and asked where PhD’s were going (of Agri Econ): answers AMEX
      • Due to SAS and mainframes, UNIX, R-Cran hadn’t started
      • AMEX was explicitly recruiting in 1996 for these economists because of modeling, coding messy data, crop insurance, regression (econometrics)
    • History of cultural agricultural yields, weather and prices from before 1996 – which was agricultural crop insurance start
    • Simulate and stochastically getting a bunch of results that give you an idea of the distribution of the model
      • He does very little predicting of what may happen next year – looks at shape of distribution for the following year
      • Looking at improbable 1 in 1000 results that may be possible in that distribution
      • Book: “How to Measure Anything” – what’s the highest and lowest estimate
    • Risk vs uncertainty: Risk is understanding underlying distribution but not sure what you’ll get; Uncertainty is not knowing the distribution
      • Flipping a coin has risk – can model the probabilities if you know the coin, but uncertainty would be not knowing if the coin is loaded / biased
      • Auto insurance is type of product that is mostly risk, less uncertainty – predictable patterns, historical distributions and tail events
        • Terror events – historical categorization of events but no reason to see world events as drawing from the distribution of that
          • Unstable random geopolitical events, component of risk vs higher uncertainty
    • Reinsurance with risks that can be correlated based on underlying physical relationships, such as homeowners insurance in NYC should be correlated
      • Hurricane Sandy would be something that hits everything there
      • P&C companies with casualty claim could be connected among multiple companies
      • Legal change in framework could cause claims to increase 15% – have to understand the correlation when aggregating data
      • 2 distributions can be added or correlations using copula – artifact of some other process
        • Model data should be containing it already but this is only way to insert
    • In 3000 BCE, Babylonians had disaster contingency – loans didn’t have to be repaid if losses happened for certain events
      • Edmond Haley (Haley’s comet) created modern-style mortality table in 1693
      • Lloyd’s coffee house emerged for shipping news and buy shipping insurance (turned into Lloyds of London – marketplace now)
      • 1992 – Hurricane Andrew recharged after ripping Florida and hit Alabama and Louisiana – big catastrophe for reinsurance companies
        • Hurricane reinsurance was a gentlemen’s game – big contraction of market after Andrew, filled by crop of reinsurers in Bermuda
        • Became a quantitative analysis market after this – turning point of reinsurance, reasonable proximity for US and capital-free
    • Heuristics that make certain assumptions for the modeling of both finance, insurance
      • More effective models for sharing and coming together with actuaries, risks and methodology
      • Data science examples, actuaries methodology that would be working together (GLM combined with understanding on actuary side)
    • If asker of question made it easier on the question answerer (on example for Stack Overflow)
      • Incomplete code or maybe not syntactically right so the answerer cannot answer it properly
      • Empathy for the receivers of your opinion or problem or otherwise
      • If doing analysis to equip underwriter for a deal – what information does the underwriter need to be well-equipped for negotiating their deal
        • Influences and drives thinking of how to serve that analysis / information
    • “Hacking empathy”: from Agile development method would be User Stories
      • Hugo is a data scientist who is trying to understand X. He needs this tool to do Y so he can understand X.
        • Forces the person to do this to think about that user or other person
        • Think about who is consuming it to give nudges or reminding someone – doesn’t think that way
      • At DataCamp, how active or users or learning profiles that they are aimed at
        • Designing for average, you design for no one from podcast “99% Invisible”
        • Give target audience a name to relate to them; multidimensional space for ‘tyranny of mean’
          • If you have 3 dimensions of human body (leg length, height, hand size, arm length, etc..)
            any 3 with a small margin of error will be merely 6% of pop
    • Where is market opportunity? Met with a headhunter in space.
      • Deep learning and AI for media and ink spill – interesting and have potential for revolutionary changes.
      • Former guest Jenny Bryan who talked of attempting to get people out of Excel – massive movement there, he believes
    • If we don’t ask “Does our analysis change the outcome?”, we can do infinite analysis since it’s all that we don’t know
      • Never drive organization. Leaders should have candid conversations about if the research is going to change the answer of the decisions.
        • If it’s a no – why put resources toward it?
        • What’s the next best simplest alternative? Not comparing to doing nothing.
          • Deploying a complicated model should be compared to old forecasting method or cheaper, faster one. Is the added complexity worth it?
      • Hugo tells them to deploy basic baseline model, do 20 min of EDA and try to make own prediction. Then test the models against that.
        • In public policy, effectiveness isn’t against doing nothing, it’s the next best. Benchmarks are too often done at base.
        • “Plot your damn data”
  • Matt Lieber, cofounder & President of Gimlet Media (20min VC FF030 1/15/16)
    gimlet-and-spotify

    • Produced radio shows Fair Game and On Point, worked as a management consultant at BCG
    • Radio producer was his lifelong dream after being a radio head growing up
    • Met Alex Bloomberg after his MBA and consulting, who is the cofounder – left to go learn business side
      • Distribution to big audience, too many gatekeepers, market-by-market he had to go to program directors to pick up the show
      • Exciting thing, creative, ambitious work was happening there
    • Constraint breeding creativity – raising a series A
      • Had launched 3 or 4 shows in first year, scaling to some audiences and had worked
      • Revenue from start, ads in the beginning – VCs didn’t want to hear about those
      • Believed they could self-fund through profits, growth with revenues – don’t need to dilute, maintain control
        • Would need to build up the company after building some shows
    • Keeping small culture – fairly strong but not explicitly communicating it yet
      • Behavior of leadership and design of signs – started Gimlet Guides around 25 employees for onboarding
        • Gimlet Guides are the mentors for establishing new employee onboarding – lunch once a month, questions
    • Wanted to get a partner for VC who was aligned with the vision, experience investing in media for different return timelines and dynamics
      • Sea of change of how a whole generation will consume radio and shows
      • Simplest, direct way for market – size of radio ($18bn+ in US in advertising alone) – digital for mobile media market
        • Consumption shifting to mobile – advertisement doesn’t work (Gimlet is ~80% mobile)
    • Deciding how to make new shows? Question from someone
      • Mentioned “Surprisingly Awesome” – people want to be entertained and learn something, recent ep was interest rates and economy
      • Teamed up with Adam McKay and Adam Davidson for it
      • Learning, listen and come away with some understanding, a host to connect with and is there a narrative
    • Mystery Show, Reply All, Startup and Surprisingly Awesome are all the biggest shows
    • Favorite book: Great Plains by Ian Frasier, didn’t have an emulator
    • Challenging aspect of creating it: scaling editorial where you create a system to grow and teach editorial material
    • Most excited about the next shows – this case, a podcast about podcasts called Sampler
    • Best advice: Be nice.
  • Abhinav Asthana, Founder of Postman (Wharton XM)
    postman

    • Talking about why he loved building more than what he had done previously
    • Community for that

Fostering a Community (Notes from Aug 26 – Sep 1, 2019) September 23, 2019

Posted by Anthony in Blockchain, Digital, experience, finance, Founders, global, Hiring, Leadership, questions, social, Strategy, training, Uncategorized, WomenInWork.
Tags: , , , , , , , , , , , , , , , ,
add a comment

What a crazy couple of weeks! And it’s not likely to slow – I’ll give some more information behind that very shortly. Exciting new things on the horizon, though – and ones I’ll be proud to announce when I can. August provided a lot of clarity in direction – good because it wasn’t exactly restful.

I mentioned it in last week’s post, as well, but I’ve been hyper-aware of the people around me interacting, enjoying and laughing over commonalities. It’s at every level, though I peruse coffee shops far more often than other places. Interesting stories are almost expected. If you refer to my reading list, you’ll notice a new one, Dignity. As part of a book club, I was hesitant and unsure when it took the lead because of the topic – primarily drugs/poverty/downtrodden/unlucky collection as reported, but halfway through I’ve been pleasantly surprised at how much perspective Chris provides. I can’t help but draw that fixture of everyone has their own experiences that provide the lens through which we draw conclusions on everything else. Endless and it’s very tough to remove ourselves or step back – especially with things we’re unfamiliar with.

Ultimately, though, everyone wants to share their experiences with others – whether it’s some depth of despair, depression or building a community, religion, or hiring employees to work with or spending time for fun and adventure. We’re human. We spend time with other humans. There’s a reason we’ve survived this long in groups and why the solo artists end up in peril – this is completely generalized but in MY experience, I’d say I see a truth in this.

Kate Shillo, Director at Galvanize, mentioned her journey for Martha Stewart’s media company to Galvanize where they help businesses grow with their people. Morgan Dunbar, at Bendigo Partners, discussed his involvement in AIR – summit and conference for sharing ideas/businesses for financial services to hopefully rise all boats, as they say. Mike Vernal, at Sequoia Capital, went through how Facebook’s earlier years helped him with approaching problems and the finality of decisions – what they’ve fostered for the boards he is now a member of. He tries to understand the start-up and the founders view of the problem after a quick determination of if they know the idea enough. Others, which I only caught pieces of, had similar views.

I hope your community, whatever that may be, is productive and positive – helping you gain what you’d prefer from it.

  • Kate Shillo (@kshillo), Director at Galvanize Ventures (20min VC 1/13/16)
    gavalize-logo

    • Investing in hardware and future of IoT
    • Got an interview with Martha Stewart’s Omni Media and she was temping for her – living in NYC 2007
      • Would have an idea in her company – create, build & continue w/ mini incubators
      • She wishes Marthapedia was made – hasn’t done it yet
    • Wasn’t quite stimulated enough in 2007, she quit and bought a surfboard – 6 months later she was back in NYC
      • Had met Kenny Lerer (around in interviews) – met before Martha with an internet newspaper (Huff Post)
      • Took a huge pay cut to do some research on other startups as Kenny was on the chair for Huffington Post (~30 employees)
        • He was chair at Betaworks at that time, too
      • She was the human tester for Betaworks (only other one to test)
      • Helped launch Ken Lerer Ventures (Lerer Hippeau Ventures) as formalizing process for his angel investing
    • Help of having Huffington Post (sold in 2011) as starting propelled them into NYC market – unheard of at the time
      • Market down, nobody investing in seed – writing small checks at Lerer “Go by Betaworks and Lerer Ventures is there”
      • First content investment was Food 52
      • Consumer tech pics – paperless post, Warby Parker, Bottle Bar, BarkBox
    • Galvanize (continuous learning – helping businesses and their business grow – new archetype in higher ed)
      • Galvanize Ventures with 3 partners – all of elements to provide their startups
      • Early stage – small, idea from pre-seed to series A (seed process), reserving for follow-ons
      • Small markets like ATX, PHX, SLC to get in – coaching co’s along the way
    • 48 investments in 2 years
      • Consumer mobile-heavy so far, her excitement in hardware – starting in 2014 was IoT hotbed
    • Crowdfunding as a bit of advertising, validating customer interaction and capital as gravy – her opinion
      • Shipping product is usually a hurdle – many people don’t want to invest without seeing this
      • Reflecting on Lerer investments – seeing market share of her old portfolio companies
    • Size of fund is $10.2 mln, $100k checks for pre-seed, seed and series A – get priced out for series A
    • Favorite book: God of Small Things, misconception for VC: that it’s easy (no control for company sometimes but exciting when it works)
      • Sourcing vs existing portfolio co’s helping
    • Favorite apps: Moment app, Twodots (betaworks), Slash, Sunrise calendar, Pant, Wildcard and Venmo at the time
    • Recent investment: msg.ai empowering brands for messaging platforms ecommerce
  • Morgan Dunbar, partner at Bendigo Partners (FYI 8/5/19)
    86aeb71777442ba0eadc52ed226d20ee

    • Capital Market Space within FinTech as principal investors
    • Was mostly on sell-side for analytics on portfolio construction – with Citi Group in Tokyo in 2009 running Japanese equities
    • Bendigo – early stage fintech companies with bias on capital markets, retail, middle and back office
      • Advisor practice with institutional, private equity, large enterprise in capital marketers
      • Transaction advisory, operational consulting and strategy around fintech ecosystem
    • Bill Stevenson partner on AIR Summit – 2013 creation for invitation-only for senior buy/sell-side pros to discuss high-level themes
      • Alpha Innovation Required (AIR) – invite ~20 emerging fintech cos to speak to a use case for front office (alpha generative)
    • Traditional VCs have a fundamental lack of operational understanding in capital markets
      • Secondly, long sales cycle in businesses – thousands at enterprise level vs millions in consumer
      • Regulatory that can be scary without expertise
    • Artificial Intelligence as just replicating a process (as opposed to intelligent)
      • AIR focusing on people, organization, talent and cultural alpha
      • Tradition, trust, not new – center for innovation and trying to do something, be empowered for innovation and development
    • Google pushing into asset management other than cloud, data and analytics
      • Asset managers may start looking at Google like Bloomberg – help build portfolios, vendors to tap for alpha
    • If buy-side problem, then sell-side has a problem, fee compression (growth of passive) – active vs passive (value for performance)
      • Robos (whether or not they’re worth valuations) validated demographics looking for low-cost access with simple UI and intuitive
  • Mike Vernal (@mvernal), Partner at Sequoia Capital (20min VC 8/26/19)
    sequoia

    • Citizen, rideOS, Rockset, Threads & Houseparty board
    • Spent 8 years at Facebook as VP of Product
    • Sequoia – Brian, led A to join board for his roommate’s company and his former PM at Microsoft started a co in 2009 and Brian joined
      • Joined Scouts program early on
      • Had first child a week prior to 8 years at Facebook, took paternity leave to reflect
    • Really enjoyed Facebook first few years – tremendous energy and optimism to create something from nothing
      • Early stage founders in a garage for idealism and irrational energy, switched to Sequoia (been there 3 years)
    • Entrepreneurs that can explain entirety of business in 3-5 min, rest of meeting is the details of the pitch
      • Feedback cycle for great and enduring company – decision-making is a short or longer memo and reading through them
      • For his mistakes, thinking and writing and playing out future – each case was instinctually being interested but not trusting instincts
        • Try to be rational and analysis-driven
      • More importantly, internal conviction on a company, founding team and working on
      • If not at Sequoia, would he go work for that company?
    • Terminal and non-terminal decisions – once you’ve made it, you can’t make it again
      • Do something, if wrong, do it again – try to hire, realize mistake, hire again
        • Pick one, roll out to some, figure if it’s working or not, and iterating
      • Venture – most important is decisions – if you pass a round, you’re done maybe until next round
      • In operations, tempo and learning for decision-making
    • Bundling vs Unbundling – past 10 years will be unbundling of SaaS and best in breed
      • SaaS that are more niche – features as something larger, $1 or $2 / ee / mo
      • Thinks there will be a consolidation of the apps, incumbents that will integrate and put them all-in-one (Notion)
      • Meta-SaaS apps that will put them together as the market matures
      • SaaS as software, business software (maybe banks that are on-premise)
    • Book: 100 years of Solitude, almost every startup underprices their product
    • Time management is the challenge – constant battle, reading quickly and get the ones he finds most interesting
    • Verkada as most recent investment – can build a great experience
  • Kash Mathur (@kashmathur), COO of Chewse (Wharton XM)
    chewse-open-graph-e1559782200236

    • Tracy and cofounders starting it in LA originally, in 2011 before bringing it to SF for 500 Startups
    • Attracting Kash in 2016 as they were figuring out SF before relaunching LA
    • Corporate culture, enterprise dealing and owning the customer service – blended marketplace
      • Starting each executive, strategy board with a “One thing most people don’t know about me is…”
      • Connecting between people
    • Why they have connected Hosts for each enterprise – owning the location, service and whole process
      • Important value and differentiator from other catering companies
  • Linda Crawford, CEO of Helpshift (Wharton XM)
    helpshift-logo

    • Being named top 50 SaaS CEO of 2018, joining HelpShift after Salesforce
    • CCO (customer) at Optimizely, as well as Board Member at Demandwise
  • Rob Farmer, Independent Advisor Study and assets at Schwab (Wharton XM)
    • Talking about participants and customers

Your Experience is Your Own, Only (Notes from Aug 19 to Aug 25, 2019) September 10, 2019

Posted by Anthony in Automation, Blockchain, Digital, experience, finance, Founders, global, gym, Hiring, Leadership, marketing, NLP, social, Strategy, training, Uncategorized, WomenInWork.
Tags: , , , , , , , , , , , , , , , ,
add a comment

I’ve been considering more and more about how my experiences are only mine. Especially when I feel like I don’t share them often. Working so much but not always discussing it with people outside of work (re: almost never). I was reminded of this while I met with a family member who I see roughly once a month or so. When she asks how work is or I mention I’m busy on days when she wants to meet, it often came with a “busy with a meeting at X but can do Y”. Never more. And almost always, I ask how her work is, and she divulges. So when we sat down for dinner and she point blank asked “I have 2 things: 1. Can you help me with something on my new phone? and 2. What is it actually that you do?” I chuckled because generally I don’t care to share that information – I really enjoy valuing start-ups and learning about the space / tech / finance / education changes, but other than high level stuff, rarely does anyone want to hear me talk extensively a la a podcast episode deep-dive or something. They don’t see the relevance, other than it being exciting for me. Same with when I was advising, same since launching the fund and all while working on project deployment in data science for others.

I strongly suggest reading through Colson Whitehead’s essay here about his version of New York City. How it’s interpreted. essay here

Another thing I read through today was Farnam Street’s blog post on asking seemingly simple questions that may be defined or determined by our experiences with those concepts. An example he uses: “What is a horse?” Try to think how we may answer this.
Power questions

 

  • AI in the Past, Present and Future (BDB 7/16/19)
    teradata-logo-social

    • Rod Bodkin, Tech Director at CTOs office in Google
      • Was with BigDataAnalytics, bought by Teradata and grew it from there
    • Grew Google after seeing the field advancing quickly, state of the art as evolving
    • First people to put Hadoop into production – Yahoo was too scared, single algorithm took weeks at the time
    • OpenAI put out state of art compute paper – 4 year paper, 300k X computation (double every 3.5 months)
    • For Google, evolution of cloud in the enterprise is a big deal – consumer side of Google as leading the way
      • Can just put data into BigQuery because of capacity and accessibility of data – increased production 4x on data science team
    • Big investments into Anthos – open source tech to enable cloud-native services in different clouds, GKE (Kubernetes)
      • Edge TPUs as 100x faster to compute a model vs traditional mobile CPU – TPU as accelerator chip for DL
      • CPU is completely general so less efficient
      • GPU has a boost over CPU but behind TPU accelerators (starting GPU chips, Tensor unit)
    • Kaggle Days and Google IO for cloud Pixel modeling and AutoML performing very well
    • Herrari’s book – 21 Problems for 21st Century
  • Tricia Han, CEO of Daily Burn (Wharton XM)
    51w1ctcdszl._sy355_

    • Community of like-minded fitness fanatics
    • Live 365 – 30min shows on working out, regulars
    • In survey, millenials said fitness #1 and health/wellness at #5
    • Fitness had about happiness equal to making $25k more

 

 

 

  • State and Future of Robotics, ML and Digital Celebs (Venture Stories, 8/8/19)
    ht6qfyjc_400x400

    • Michael Dempsey (@mhdempsey) – partner at Compound
    • Read, Listen, Write, Talk – Cunningham’s Law – share something with a strong opinion is likely to get responses
      • More value when shared publicly
    • Robotics, ML as cascading forward – robots broadly, initially – types, how to make them intelligent (2013)
      • Drones, hardware platform (DJI as leader), space and now as unsupervised or self-supervised learning
      • Deep dive on innovation for what he’s spent the last year or two – investments, as well
    • Women’s health as growing market for fertility and experience layer in healthcare system
      • Higher-end service around egg freezing (but was shattered by Tia founders), IVF or embryo screening
      • 2 investments for him already in the space, maybe more after
    • Strategic robot acquisition for Amazon, why now? Major companies in the space – he’s punted in that space, more investors.
      • Didn’t see meaningful differentiation in the space – didn’t see a company that had that from an investing side
      • Food was where he saw robotics as consistent – grew up in the industry
      • Really easy to get pilots but not for revenue – wants full-stack robotics company
      • Robots taking over entire industry – automated X / Y / Z (rebar, construction robotics)
      • Front of house and back of house retail (analytics, stocking)
    • Weird robot applications (in-home, manicures, old person help)
    • If company is built on algorithm being best, company probably won’t survive
      • Must talk to people doing operating – not just reading
      • Self-driving cars – spent time with Daniel Gruber, discussing local maximum and rules to write
        • If you can drive in NY, you can drive in SF, LA, etc…. 2007 DARPA challenge Waymo / Tesla / Cruise as result – path-planning
        • Intelligence approach – what are incentives / agents to accomplish in a car for end-to-end approach to scale
      • 1 model to move them all – enough compute that model can solve it (DL is direct function of this, for Google)
    • Investment in data labeling space – more people moving into production requires more people getting good data and filtering data
      • Larger data builds where it may cause $50-200mln per year to label but 50% is useless
      • Environmental impact and thinking about it – consolidating data but into better (CartaAI and SkillAI)
    • DeepGram end-to-end audio inscription – 80-85% can be good, but if you mess up some key words in certain industries, it’s more expensive
      • Voice side, horizontal players are pretty good – if x% of users will have same questions, simple workflow or algorithms
    • GANs and new generation of faces – Disney and animation nerd for a while – power of IP on agencies, CAA for example and Marvel
      • Stories through animated content, Robot Chicken, others – Robert Dillon – bringing in GANs
      • Watching live action is watching someone else’s story whereas an animated one brings you into the story
    • Trusting the people that have been given permissions – Reddit or being anonymous
  • John Roese, Global CTO of Dell EMC (Mastering Innovation, Wharton XM)
    dellemc2

    • Talking about the 20 year vision to be autonomous but incremental parts until then
      • Driving assist, improved AI in driving, maybe geofenced before autonomous
      • Autonomous vehicles as source of innovation – sensors / LiDar very useful for other industries but too expensive
        • Had talked to studios about virtual studios or conferences – expense should come down with auto
      • Vast problems with uncontrolled or unconstrained problems – already have fully autonomous warehouses or geofenced areas
    • Interested in bio feedback as input to AI or MI systems
      • Used example of video conferences with sensing stress levels – clearer audio, accent correction, more people = more stress
      • Cars already using bio feedback
      • People already wearing sensors via devices – can use that as more input
    • Attacking low hanging fruit because of data ethics or biased data inputs – easier to solve problems that are valuable in neatly constrained
  • Amri Kibbler, Katya Libin, Hey Mama co-founders (Wharton XM)
    • Collaborate and share and support their work for mothers as executives
  • 13 Minutes to the Moon
    • Ep. 06 – “Saving 1968”
      • Apollo II’s first landing – without Apollo VIII, Pathfinder and 250k mi to the moon, maybe gutsiest flight until then
      • Flying VIII before end of year – “We were not ready”
      • 2 deaths of MLK and Kennedy – April had hundreds of cities taking part in riots, thousands arrested
        • 1968 Apollo program was in shock and Saturn V rocket was malfunctioning – troubled test flights
        • Almost busted in all 3 phases the last time it had flown, and the lunar module had slowed down, as well
      • Taking lunar module away from Apollo VIII – former test pilot Jim Lovell said it as Lewis & Clark expedition
        • So many firsts, risks that were enormous on a 100x scale – reason Jim was there in the first place
        • Crews normally had 6 months but VIII only had 4 – mathematicians were responsible for all of the angles and engine durations
      • 1 chance in 3 for mission successful, 1 in 3 for non-crash but unsuccessful and 1 in 3 for not coming back – wife accepted this
      • Media as delivering “death pills” for dying painlessly – respondents would say oxygen would run out and it’d be fairly painless
      • Trans-Lunar Injection – don’t shoot at the duck, shoot out front – wanted to go to 60 mi ahead of where the moon would be
        • Spacecraft needed to get to the right moment, speed, angle and altitude for the moon
        • Human computer – Katherine Johnson – was responsible for the trajectory for launch time (Hidden Figures)
        • Took 3 days from launch to get to target – Lunar Orbit Insertion
      • Astronauts were late on radio contact from dark side of moon
        • Came back to light and could hide behind his thumb – 5 billion people and everything he ever knew
        • Finishing Apollo VIII with scripture and then Good Night, Good Luck and Merry Christmas
  • Bill Clerico, co-founder and CEO of WePay (DealMakers 8/13/19)
    wepay-1

    • Leading provider of integrated payments for software platforms, raised $75mil from SV Angel, Highland Capital, Ignition Partners, August Cap
      • Founders of YouTube and PayPal also in
    • Grew up in NJ, spent time in NY and father worked in Air Force and construction – taught himself computers in 80s
      • Received a scholarship to go to BC, met his co-founder for WePay waiting for the flight for the interview 6 years prior
      • Went to do IB at Jeffray’s – advising tech and software companies with clients, passionate and building for a year to quit
    • Installed a suit rack in his car because he wasn’t going home – long hours, brutal fundraising
    • Group payments that they saw repeatedly at the age of 22 – big market for payments, testing it out
      • Wouldn’t have less responsibilities than at that time – Rich deferred law school and Bill had worked on it full time
      • Tried to pitch Boston investors and failed – less receptive to early stage investing, applied to YC instead
        • Came out to the valley for an interview
    • Spent 1.5 year to invest and took money and sold furniture and drove to the west, taking turns
      • Product was conceptual, pitch deck was opinion and it was hard to prove a market need to investors – conceptual idea
      • In YC, built product by talking to fraternity treasurers at SJSU, ski club coordinators – got them using the product
        • Went to talk to investors by showing them the traction
      • Why would a treasurer to accept payments with different product? Host bbq and invite them over. Go to dorm room and watch product usage.
        • Responsive to requests – take feedback and be better than existing solutions. Gain knowledge in start by doing things not scaling.
    • Group payments were a big problem and needed a solution – weren’t willing to pay, or pay transaction fees
      • Venmo had raised money and had a bunch of momentum by giving away services for free
      • Competitors were taking advantage, 2 years after YC – pivoted but weren’t growing as fast
        • Built an events tool, donation, invoicing tool and an API for customer use – other companies were just doing those
      • Realized they could build an API making payments experience easy and simple and let competitors do whatever
        • Saw huge traction/benefit where they could be brought in via the API (since they had raised $30mln)
        • Needed the business to be grown but expectations were higher
    • 600 lb block of ice for marketing $500 in front of PayPal Dev Conf at Moscone Center – still highest market day
      • Since PayPal had a knack for freezing people’s accounts randomly
    • Pivoted to shut off 70% revenue stream from consumer product, gaining growth on API from other customers
      • GoFundMe used them as a payments processor from when they were 2 person company
    • Prior to acquisition by JPMC – 200 employees at that time, now fintech / bank
      • Asset purchase agreement day – tired – was negotiating final points of deal in person, had some drinks to celebrate
      • Bought a cabin in Mendocino County – deal was valued at $400mln
    • Part-time partner at YC now – helping companies in general – relevant to the next entrepreneurs and the scale
    • Angel investing on the side – much longer and harder and scarier than he ever would’ve imagined
      • Reinforces this to his younger self – startup doesn’t fail unless you give up
  • Evolving Narratives in the Crypto Space with Andreas M. Antonopoulos (FYI 3/12/19)
    • With Arjun Balaji, as well — and similar for me as host, his intro to Crypto space video YT
    • Conflict of Crypto Visions article by Arjun and host
      • Identified closely with unconstrained vision and doing talks on not playing zero-sum mentality
      • Ethereum as different than Bitcoin – evolving directed by design choices
    • Engineering consists of design tradeoffs – choices of optimizing and de-optimizing parts of systems
    • If you want to make something that is Bitcoin-ish, you run into problems for all the strengths that are already inherent to Bitcoin network
      • Differentiate enough to be a new thing from Bitcoin – can’t mingle or occupy that niche
      • Is privacy a big enough differentiator to separate from Bitcoin network?
        • Strong privacy in base layer – can end up with inflation bugs that can damage sound money policy of Bitcoin for the privacy
      • Sound money vs private money – not clear yet.
    • Hard money displaces other forms of money in long term but only if they’re maximalists and logical
    • Friction levels determining switching back and forth on a wallet between utility or store of value tokens / coins in the future
      • Automated backend where they are optimized
    • Interest in Ethereum – tradeoff worth making for smart contracts and applications that aren’t just money outside of Bitcoin
      • How the technology of VM blockchains work
      • Scaling is harder in Ethereum – proof of stake has different security model than proof of work
      • Sharding, beacon chain, polka dot – not sure if it will work or what the security constraints are – could have applicability to BTC
    • Bitcoin critics – make the case for it but then explain value proposition or store of value
      • He has an opinion, others have opinions – none will determine how the market develops
      • Arguing is a waste of time. If you understand the tool that’s best for a job, you’re a better user of tools.
        • Which is the correct tool and how to use it properly – perception is limiting in general
  • Sam Yagan, CEO of ShopRunner (Wharton XM)
    sr_stack_full

    • Founding dating OkCupid and then going to Match and scaling to IPO
      • Going from running a team of 30 to 1000 in a month
    • Ecommerce ShopRunner as retailers combatting Amazon and Walmart – providing scale and guarantees with 2-day shipping for many retailers
      • Joining after Michael Rubin had founded it on premise of “Amazon for all others”
    • Making sure they have AMEX partnership to make it easy for customers
  • Travis Katz, VP of Product at Skyscanner (Wharton XM)
    image1-4

    • Had been cofounder of Trip.com and at Myspace prior
    • Social media giants Facebook and Myspace – selling to NewsCorp and getting revenue compared to funded Facebook acquiring users

Big Goals: Being the First (Notes from Aug 5 – Aug 11, 2019) August 27, 2019

Posted by Anthony in Blockchain, Digital, experience, finance, Founders, global, NLP, questions, social, Strategy, Uncategorized, WomenInWork.
Tags: , , , , , , , , , , , , , , , ,
1 comment so far

A friend recommended the 13 Minutes to the Moon podcast. I wish I could shout out that friend, but I currently have no recollection for who it was. Sorry! I’ve been recommending it to anyone that wants an intriguing documentation and story for the decade sprint to putting a human on the moon – and everyone that contributed to that goal. If you need more convincing, Hans Zimmer did the music production, as well. So, it has to be epic, right?

So, that’s what I would strongly suggest everyone listen to. The rest were incredibly interesting, as well.

The co-founders of Original Grain discussed watch making, selling out of backpacks and getting the approval of their military brothers before finally catching on and building the business. Setting out their approach and moving back to the PNW. Co-founders of Lovevery talked about mixing the product, box subscription service with educational, proven research and why Jessica chose this model and building their own over the licensing / branding other toys/puzzles.

Nick Maggiuli, of Ritholtz and Of Dollars and Data discussed why he’ll follow / listen to others that he may disagree with in case something clicks that makes him update his information to change his mind. Then, discussing that the market isn’t zero-share after Ken Fisher mentioned that his firm ($30bn plus) could be wiped from the face of the planet and nobody would ultimately notice when the market handles $50tn overall. 30bps – can aim high and ultimately it comes down to your execution, rarely others.

Then, Morten Lund talked of the EU investing scene, his success early, bankruptcy soon thereafter and deciding what he wanted to see and do. Sometimes you have to toil in decisions before landing what you seek.

Hope everyone enjoys the notes and checks the episodes out!

  • 13 Minutes to the Moon (BBC Worldservice)
    • First episode – ‘We choose to go’
      • Lousy communication as they dropped thrusters to 10%
      • Something happening in computer that caused issues – Armstrong was nervous (rarely)
      • Worry when Sputnik was placed up and a dog in the next month before putting a person there (BBC / Moscow reported)
      • Not having hopeless odds – could do a crash program to get men on moon by 1967, 68
        • German (vonBrown) who set up the rec for the course to get on the moon – recognized Russians needed 10x improvement
      • V2 rocket program – never having wide support but post-demonstration, went to mass production
        • Nordhausen – very aware of concentration camp workers, mistreatment and threat of sabotage
        • Surrendered and Americans were all-too-happy to accept them for rocket program (and space)
    • Second episode – ‘Kids in Control’
      • Steve Bales as the 26 yr old kid who could shut off the mission
        • Guidance officer in mission control team – lunar modules onboard computer by MIT design – controlled flight to moon’s surface
      • Junior technical in backrooms to Gemini flight controller for Apollo by age 23
      • Rapid recruitment style in technical and sciences – just threw them in for trainings and went from there
        • Hiring on rapid basis – bring on board, operations, engineering, training
      • John Aram – math and physics in North Texas to mission control – recalled so many acronyms (never been to a big city)
        • Moved to murder capital of the world, 6 weeks later and told his wife – maybe we need to load up and go back
          • We ain’t going back, she said.
        • Looked over electrical systems and the spacecraft’s electronics.
      • Average age of operators was probably 27 years old, grads of 1964 or so (older didn’t work out as well)
      • Simulations would run 20 different scenarios to demand engaging reminiscent of a fighter squadron
        • Had to trust each other well, kids and wives knew each other – risky things
        • Apollo I that killed the crew in 1967
      • Not enough time at home – many divorces from not being at home and holidays missing
      • In the trench – Gene Crantz: room bathed in blue light by the screens, smell of the room, people in for long time
        • Stale sandwiches, old pizza, full wastebaskets, coffee burnt into the hotplate, but you get feeling something will happen
        • System needed Gene’s toughness, former Marine, constant chain-smoking and needed that guidance from the flight director
      • Calling program error 1210 – never seen it in simulation and Steve had called abort – in actual mission, they got 1202 from Buzz
        • Setting a set of rules for program alarms – Steve got help from a 23 year old in the back – Jack Garmin
        • No call to abort if everything else is good – took 15seconds to push
    • Episode 3 – ‘Long Island Eagle’
      • Slowing descent was the plan, but they ended up going faster
        • Surface wasn’t what they had anticipated
      • Why is the lunar module the way that it is – way it looks? Form follows function.
        • Landing and flying in space – very different than aerodynamics for earth atmosphere
        • LTA1 – cleaner than a surgical room, higher pressure (dust and contamination avoidance)
        • Puncture a hole in skin with a pen – needed lightness and fuel efficiency
        • All engines in lunar modules had to be without electrical failure, so they were just latches with combustible gases
      • Lunar module designed by aeronautical engineers – aerodynamic and smooth, glass but had to evolve
        • Glass was too heavy and crew survival was supercritical
      • December 1968 was supposed to be lunar module flight but they flew around the moon instead
        • Would make it, but it would be close to the decade
    • Episode 4 – ‘Fire to the Phoenix’
      • Fire in the spacecraft – BBC report of Apollo I explosion, January 27 1967
        • Lost 3 heroes – Roger Jaffe, Ed White (first to walk in space in Gemini program), Gus Grissom (piloted Gemini flights)
        • Mercury and Gemini – everyone working there, 350-400 working on Apollo but at the height, it was 400k
        • Management challenge to build the program
      • Here to find out about Mr. Johnson for Block 2 design (Houston didn’t know who was in charge by 1964)
      • First space module in August 1966 delivered for flight testing, behind schedule
        • Jan 26, 1967 with service module perched on top of an Apollo rocket
        • Sitting in pure oxygen for the flight vs testing scenarios (t-shirts, atmosphere at sea level)
        • 30th of January, killed in the first / explosion of the Apollo I rocket
      • Accident had been an awful wake-up call but no national clamor for stopping the program
      • Hatch needed to be redesigned, reduce oxygen while on launchpad, new fire resistant found, electrical circuitry adjusted
        • Heat shields and modules to be tested, Apollo II to be canceled, 21 months to Apollo VII
          • Backup crew for Apollo I was the crew for VII – phoenix patches and honor the first
        • Spent 11 days in space and go around the moon – testing all systems that it could, from engine to navigation
  • Matt Britton, CEO of MRY, Suzy (Wharton XM)
    • Media entrepreneur and consumer trends expert
    • Suzy is ‘Siri for brands’
  • Ryan and Andrew Beltran, co-founders of Original Grain (Wharton XM)
    425133_t810

    • Watch category, growing up in the PacNW and serving in the military (Marines)
    • Trying to find a product that he wanted to start a brand of
    • Going to China to see manufacturing and get ideas
    • Selling the first out of his backpack, initially, to military guys
      • Got buy-in on quality that they stood up but not a ton of traction
  • LovEvery – Love Every – Jessica and Rod, founding partners (Wharton XM)
    loveveryforweb

    • Jessica worrying about giving her babies the best nutrition, and curious about what the brains craved
    • Approaching research and deciding on toys

 

 

 

  • BERT (Bidirectional Encoding Reps from Transformers) (Data Skeptic 7/29/19)
    • Neural network with input arbitrary length of text – minimal form and characters
      • Output is a fixed length vector, numeric rep of the text – can do automated feature engineering for ML
      • Translation step for encoding for the machine using masking
    • Chatbot for question answering – wouldn’t do specialized tools for observe
    • BERT develops a general option (vs ML where there isn’t enough training data)
      • Trained on general knowledge, wikipedia corpus or reddit, etc… and apply transfer learning
  • Nick Maggiuli, Of Dollars and Data (Standard Dev 5/30/19)
    • Head of Data Analytics at Ritholz Wealth – data and interesting
    • Behavioral investor line test – being the 8th person in line and hearing others in Ash experiment
      • People purposefully tell you the wrong matched line and 76% of time, switches idea – changes vision in this case
      • Connecting to fake news in the realm of bias – pie chart that showed top 5 S&P 500 on right side, bottom 282 on left
        • Data just tells you the biggest 5 companies – may be just the 5 largest that represent a total share (consistent)
      • Crowd makes the narrative, often and then people agree and it becomes an echo chamber
    • Following crypto people despite not believing in it because they may know something that he hasn’t seen or know
      • Change minds based on some information. Trend following, for instance (price signal, 200ma – will stop working at times – Corey Hoffstein)
      • Doesn’t believe in technical analysis but has to be convinced by some information to make the jump
    • Blog post: Most Important Asset (host ran the survey) – bet that none of you offered every $ of Buffett wouldn’t want to be him
      • 5%, so maybe 3% are trolls. But he wants to live his life. Human capital and time is the optionality.
    • Best book he’d read about retirement “Retire Happy, Wild and Free” and doesn’t discuss money
      • Financial crisis isn’t the priority – it’s existential – what’s your time that you want to worry about
      • Some people could go to the beach every day and not care, others do differently
    • Trading his time for tasks and outsourcing things – working otherwise and doing it via his hourly wage
      • Anything you’d regret on your deathbed for missing things that you’d want to do – ends meeting, one thing but otherwise, go for it
    • Ken Fisher at Investment Conference (EBI with Barry and Ken talking)
      • “We have no market share” – 30bps as money to be managed out of $50tn when they’re $30bn
        • Could disappear and nobody would notice (except their clients)
      • Enough pie overall where they’re not competing against each other
      • Not interested in the discipline, so any general discussion is improved and bringing people in
        • Rise of politics and twitter probably keeps some viewers away but looking at competition and peers for learning
        • Brian Portnoy writing at the same time, sharing information and going back and forth with same publisher
    • Funniest fintwit: Ramp and Josh Brown, smartest Jim O’Shaunnessey and Jesse Livermore, MMT – “Trusts Cullen Roche”
    • Book that he read early in his career when he was bored – What It Takes by Ellis – best firms in handful of industries
      • If they ‘reject us, we made the wrong choice on the person so it’s good anyway’ – Korbath in legal
  • Morten Lund, seed investor in Skype (20min VC, 1/4/16)
    • Investor, co-founder including Airhelp, 100 other startups
    • Visiting university before getting kicked out – used computer to get premade direct marketing which wasn’t possible prior
      • Turned it into a digital ad agency and made it the largest in Scandinavia and sold to Leo Burnett (ad agency) as digital acquisition
      • Could build company by then
    • Made a small incubator by then with the money he had
    • Called for investments in Kazaa initially – wasn’t comfortable with that because biz model was for iTunes but no power to negotiate with labels
      • Was helping business development at the time
    • Guys had idea of doing Skypr – wifi sharing network – shut down by 10-15 investors who didn’t want to go further
      • Calls couldn’t be afforded so why not do a digital phone with the sound cards – helped fundraise and paid founders’ apartments
        • 300-400k users after 20 days launch – roughly $50k brought back $50mln
        • When it took off and worked, it was exciting – Estonia guys being crucial and understanding p2p from Kazaa, as well
      • Very involved in the brand – ICQ (impossible to understand)
    • Bankruptcy 7+ years prior had to refocus him and figure out what he wanted to do – nothing wasn’t working
      • Co-founding, starting and investing all kinds of 70-80 startups
    • Learning that things will take 3-4x longer and 3-4x costly
      • Founder in mind for admiring – David Hilge (Unity), Reid Hoffman, demonstrating stamina
    • Spending time at TradeShift – empty on cash and barely surviving holding onto his house – internet as media business that was fairly large
      • Every bank has a budget of $1bn in tech spend – immense amount of people running around doing nothing
      • Partners came to him to do digital invoicing structure for English structure and wanted to do consulting (agreed on cloud-based platform infrastructure)
      • Every company has different file formats and being consistent (Christian becoming a rock star) – ability to close huge clients
    • EU fintech community – browser era in 94-95 and nobody knowing how to handle it – legislation is getting easier to deal with
      • Web bank is a media but can do all kinds of interesting things with accounting – unwind IBM and legacy providers from cloud
      • If you want to sell big, have to go to US but if you want to do early or continue building, can be in the EU
      • Becomes obsession for $1bn level – consequence shouldn’t be this, though – not justified without revenue
    • Favorite book: Shantaram, fun with Richard Branson (knowledge exchange), The Economist as blog, Hippocorn – placeholder or executor affiliate
%d bloggers like this: