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How to Motivate Yourself to Build (Notes from Jan. 27 to Feb. 2, 2020) July 22, 2020

Posted by Anthony in cannabis, DFS, Digital, Draftkings, education, experience, FanDuel, global, Leadership, medicine, NFL, social, sports, Strategy, Time, training, WomenInWork.
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Nope, I’m asking. Not telling. It’s constantly a challenge.

Let’s see. A will to win. Certain things provide you a much clearer picture of an end goal. In life or careers, there is often always a next step for those that are driven. I know many people that have said it’s not a linear path, and therefore you see steps/ladders that may be uneven. It’s hard to take that into consideration to pursue action, then, especially if you’re back at square one. It must be some secondary motivator that keeps us looking forward.

I have an idea page of things I want to pursue. Talking about potential pursuits may be a first step. Talking with others, another. Writing them down allows a concrete step toward accountability. Then, what’s next? Talk to potential customers, people in the space, people that could be of interest. Design something, wireframe or code out a rough sketch. Maybe it’s something to see how much of a concrete idea it is. Ideas sometimes just need another opinion to spur passion – whatever can provide the spark to go further.

With a next step in a career, an idea written out for the next step can be a good thing. Approaching mentors or potential mentors or bosses (strategically) may be that step of accountability. The more people involved, the more likely that path could be disrupted as incentives to provide clear steps wane. The earlier you find that out, the better. It’s unfortunate but situations and circumstances can change on a whim for anyone, so it compounds with involvement of others. I’ve seen that time and time again with friends.

Now, I hope I didn’t discourage with that last paragraph. That wasn’t my intention. So, here’s some good news – work has become increasingly global with the progression of the internet / web, more so this year. There are more people online sharing, collaborating, open to discussion with minimal work except seeking the communities out. Tools are better organized and more broadly applied to help, and more people are generally sharing their experience for us to pattern match or adjust. Action is the step. Or asking what the action may be. Take it together.

  • Coach Paul Alexander, Josh Hermsmeyer (Wharton Moneyball 1/22/20)
    • If you pit OL vs DL – OL is more reliable, similar to pitcher vs batter and pitcher wins
    • Beane in Moneyball – didn’t have money to spend so he wanted to get shots at college players since they were less random
      • PFF using survival curves (as time) for measuring lines (from PFF data scientist Timo Riske)
    • 16 of 17 INTs for Mahomes has been < 5 rushers
    • Coach – more hand-oriented now in passing game than leg-driving or shoulders for the evolution of run blocking
    • Josh – turned his attention to music and predicting the first song for halftime show
      • Prop from last year – how long will the national anthem last?
        • Over time, singer spent on song increased (ARIMA model) and he looked at male and female but female was longer at end
        • Gladys ended up going over
      • Billboard is predicting JLo’s most popular song – 20% as Let’s Get Loud or On The Floor (books, too)
        • Acts don’t often start with the most popular song, they end it
        • Setlist.fm as going through common starts
      • Game plan to push as many in the box with the numbers advantage, force Jimmy G to beat them
    • Some quantitative coaching models at PFF and other places
      • Mostert as the 2nd fastest athlete in NFL at the line, behind only Lamar Jackson, by mph
    • Helpful to sit behind someone as QB? (Jimmy, Rodgers, Mahomes) but counters as Peyton (thrown in), Steve Young
      • Qb as living embodiment of the system, not necessarily ‘system qb’
      • When do we get a handle on a QB?
    • Owners as billionaires that earned money in a different industry and hope to be able to transition to teams
      • Experience may or may not come – putting right people in there, getting lucky with all of the processes
      • Little edges, enough chances and them adding up together to finally have success while living through the ups and downs
  • Ian Levy, Michael Hill (Wharton Moneyball 1/29/20)
    • Super Bowl week, Kobe Bryant death – Shaq statement and Kendrick Perkins clamoring for hatchet to be buried with Kdurant
    • MJ’s 3 and 2 years off and then another 3 – only had Scottie as the overlap of players
      • Kobe – 2 rings but 3 straight finals with Pau, sans Shaq, Lebron – taking some poor players and winning rings
      • Teams and styles that have changed to give credit to the great ones
    • Sac down 17 points with 2min 49 sec – broke a streak of 8,378 straight games of losses
  • Dr. Shaili Jain, Prof of Psychiatry & Behavioral Sciences, PTSD Treatment, author of “Unspeakable Mind” (Wharton XM, Future of Everything)
    • Father was a war vet & born in India, Shaili grew up in England and what she ever knew
    • Muted emotions, insidious infiltration of how people work, play and create beyond mind and brain
      • Infiltrates organs, independent risk factors for heart disease, cancer
    • Too many factors, 1/3 genetic (not on marker-level, though) to determine PTSD levels or exposure
      • Dose matters – more deployments = more likely, and cumulative effects
    • Average clinicians outside of VA have a tough time to diagnose & treat whereas vets and exposed know where they can see it
      • Adherence is much lower in people with PTSD and this is massively under-recognized
    • Last thing people want to do is talk to therapists – avoided trauma or be cut off, isolated
      • Health problems often make them lose control
    • Hippocampus is smaller in those with PTSD (not sure if it’s cause or effect), amygdala (part of brain that controls danger)
      • Lot of work done in epigenetics, learned behaviors and environment (followed moms that were pregnant during 9/11, escaped)
        • Work done by Rachel at Mt Sinai to follow their children based on biomarkers – PTSD in them/child
    • Her take – future is in prevention on three levels – primary, secondary and tertiary
      • Primary: prevent the traumas and crimes
        • Lots of people were starting programs that FELT like it worked w/o evidence or metrics for them
          • How do you train women to defend themselves effectively? If you have it, you can scale and replicate. Still need $
      • Secondary: before and after trauma – “Golden Hours” – can you intervene to prevent onset of PTSD?
        • Showing up in ER, instead of waiting for weeks/months/years when they show up to a therapist
        • Group out of Atlanta’s Emory University in the ER that did RCTs to show those that got prolonged exposure medicine improved
          • Cortisol recipients had less PTSD compared to those that didn’t – brain can heal quickly, comparatively
      • Tertiary: integrated care – 10 years prior, she ditched her other-campus psychiatry office to primary care
        • People show up in primary care, not often in specialty offices, attack head on
    • Treatment – first line, standard therapy would be talk therapy (prolonged exposure, EMDR – eye movement desensitization & reprocessing)
      • Focus on dismantling trauma, discussing the event
      • Biggest body of evidence for this being successful as first-line treatment, discussion capability without emotional/physical stress
        • Exposure exercises – measurable body response
      • Meds as second-line treatment (prozac and friends)

Failures as Public (Notes from December 30, 2019 to Jan 5, 2020) June 9, 2020

Posted by Anthony in Automation, Data Science, Digital, education, experience, finance, global, marketing, medicine, questions, RPA, Strategy, Time, training, Uncategorized, WomenInWork.
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In the book “The Rise and Fall of Nations”, Ruchir Sharma goes through the emerging and developing countries that have shown patterns in growth or stagnation. How do we see that they failed? How did they succeed? Was it spending as a percentage of GDP? Is it the change in political party? Infrastructure? Social services? So many factors are at play for a nation. And any that have risen have also seen falls. It’s the natural business cycle that we see happen in macro all the way to micro. Why do I bring this up?

Because it happens to the smallest business units like startups, as well as individuals. We can’t help it. Some of us hide the falls, others wear it on our sleeves, open. I think there’s a combination of good for both. I will say that more reviews such as Top 10 Startup Failures of 2019 can be interesting case studies.

Maybe it’s not the companies themselves doing the reflection, but instead outsiders. This is a review exercise that can be useful for any individual to provide thoughtful reasoning. Granted, there were likely other, unseen circumstances that created a downfall but the exercise still works to recognize a large event like that. If more people see that through a lens, we would expect some growth overall. That content creation drives more people to start their own things. And that can only be good.

On to the notes!

  • Seth Juarez (@sethjuarez), Microsoft cloud advocate (Data Skeptic 12/15/19)

    • ML: don’t want to write an algorithm because it’s too messy but use data to extract knowledge, use ML
    • “I don’t know how to do ML, so call an API” vs “I know how to do TF, PyTorch, Deep Learning-custom stuff”
      • Build in control things
    • Unstructured data into folder, word doc, picture, extract knowledge into an intelligent way (any set of files)
      • Making more intelligent Indexing with Skills
      • When a doc is indexed, an Indexer cracks open doc (text, images, metadata)
        • Skillset aggregates series of skills in step order to go through them (ex: sentiment of text, added to tree)
      • Very similar to an ETL but customized
    • Predictions inside PowerBI, for instance – ML on rows of data to show this
      • Azure ML ModelInsights – vary features and see how it affects the predictions
      • Hoping bad ML models don’t affect or bias other models
    • Video Indexer – upload video, take text out, show when different people start talking (pictures in a row, for instance)
      • Sequence of audio and pictures – can get sentiment with text
      • When you create an indexer, you marry it together with data storage (where files are) and the SkillSet
    • Skill-builders as Excel-jockeys – his interview with a Rotterdam woman Faelina and getting innovation there
    • His question: Ethics in AI – models building and make sure there is fairness in their generation
    • Azure Cognitive Search links
  • Greg Zuckerman (@gzuckerman), WSJ writer, author of The Man Who Solved the Market (Resolve’s Gestalt University 12/23/19)

    • How asset management has changed after Renaissance book, how relationships have evolved since releasing
    • Was fascinated by buy-side investors, bewildered by trade ideas but over time, become cynical
      • 2 and 20 aren’t providing unique, much value
    • When you don’t have outside LP’s, you can do other things that you can’t otherwise
    • Trend following in clusters of stocks, not necessarily a single stock – baskets against each other
      • Unique methodology into one equities model
    • When you talk to Simons and others in the firm early, you’d think they’d be quants but not the case
      • Still human – family office still will look at the office anyhow
    • 30 pages of NDA, had issues when he was starting the book
    • Everything they have is pattern investing and trading, so this is a problem eventually changing
      • Sophisticated or others that have money in market, but happening gradually
  • Dr. Rhonda Patrick (@foundmyfitness), scientist (Kevin Rose Show, 1/1/20)

    • Discussing Omega3, metformin, sulforaphane research
    • Published paper on phospholipid form of omega3 supplementation, DHA – found in marine sources
      • Interest in getting it to the brain – DHA that is bound to albumane
        • DHA-free fatty acid transported blood-brain by passive transfusion
        • Blood-brain barrier erodes as you age
    • Brain glucose levels as important for Alzheimer’s disease
    • Fish contain 1 – 1.5% of DHA in phospholipid form, whereas fish roe contain 70-75% (including flying fish)
    • More from a gram of fish oil (she takes 3g) and eating fish/salmon roe – Nordic Pure3 for Rhonda Patrick
      • High dose EPA can have issues with blood thin
    • Epithelia cancers vs blood cancers (in mice)
      • Much of metformin studies are based on Type 2 diabetics – lived longer after metformin with age controls
      • Physical exercise and metformin were not synergistic
    • Activation of pulsing metformin – half-life
      • Exercise activates and lasts 48 hours, metformin does 36 hours after last dose
    • During fasting, NAD levels increase
    • 36 hour monk fast
  • Roy Bahat (@roybahat), Head of Bloomberg Beta (20min VC 10/18/19)

      • NYC / Valley with portfolio companies in Kobalt, Textio, Rigetti Computing, Flexport
      • Former co-founder at Ouya, new kind of games console raising over $33mn
    • “Messy career” where he ran a nonprofit in government in nyc, fortune 500 media company, started the company and now investor

    • This day – October 18 – started a third fund, same build as the prior 2 – $75mn, same thing and sticking to strategy
      • Fund size is fund strategy
        • In terms of valuations – company valuation as marker of VCs rating company, but that’s a mistake
        • Want to own as much of the few winners
        • Competitive lanes issue – every time you write a check, you lose out on other companies in the space in a category
    • Egg toss of trust – model to be careful, customer calls at the end
      • VCs that ask to talk to customers immediately – slow them down, could be out of order
      • When he met Ryan Peterson at Flexport, he was still a board member at his hardware company and could try it out
        • Flexport reached out easily and offered to help him with his freight of hardware and team member made connection to CEO
    • As companies become successful and grow quickly, expectations keep raising
    • Fear from 6 years ago was if the VC was founder-friendly – not going to screw you
      • Greylock led a Series A for a friend’s company because Reid Hoffman had said Greylock wouldn’t screw you
      • Most people now are behaving to nudge the company’s upward – at Bloomberg Beta, company is the customer
    • Investment decision making – speed of investment decision
      • They try to avoid asking about other VC’s in the process (but want to know if there are timing issues)
      • Their offers are encouraged to be shopped – lots of funds moving down to write checks
      • Concerned about Seqoia, NEA, other funds? Frustrated because they’ve lost a few but have won a few.
        • Had a founder called them after 2 years prior – shouldn’t have taken that money to convince you – nothing
        • Founder mentioned he could do the raise and turn to others and they’d know who it was
    • Dependent variable – valuation (not the independent variable as most think)
      • Fund has strategy, do you want to invest? Check size – determined by fund size.
      • Strategy is to know the ownership target. 10-25% (Valuation as a function of fund size and check sizes with the ownership target)
    • Ownership to build over time – bigger check – they own what they want to own the day they invest
      • He wants to be on the team the day they want to be on the team
      • Generally, if new investors are there, pro rata and investment is hot
      • First check – anyone can say yes – good accountability, avoid groupthink
      • Following checks – unanimous to follow on
    • Greater fool dynamic – if actions reveal that you prey on greater fools at later times
      • Viable strategy in the current market, but maybe not going forward
    • Boards at the earliest stages – pretty useless but has sit in Series B’s
    • Favorite book: Waters Shut Down, Darwin’s Dangerous Idea by Daniel Dennit, Ain’t No Making It – how to develop empathy
    • Founder secondaries – fan of this, most personal and important underdiscussed aspects of a company
      • Will drive the decisions of a company because the founder is distracted – many valuable reasons
    • Thinks the heroes that are set up in the technology industry now have too much power – mainly as a result of money success
    • Mistakenly believed that starting a company and investing in a company are similar
      • Completely different roles – wanted to focus on one of these
    • Scout programs – Bloomberg Beta has Open Angels – giving money to individual investors is awesome
      • Angels, dollar for dollar, are more valuable in the ecosystem – issues can be lack of transparency (money comes from X)
    • Most recent investment – founder named Max Sinkhov – business help close businesses on home purchases
      • Title insurance States Title – validation that the owner in fact owns the home – super big before a website
  • Arvid Kahl (@arvidkahl), founders of Feedback Panda (The Indie Hackers Podcast, #140 12/16/19)

    • Him and girlfriend are founders of Feedback Panda, 2 years to $55k MRR and sold it
    • Commuted from Hamburg and Berlin 3 times a week – 2.5 hours each way, 15+ a week
      • Connection was poor so he read and listened to podcasts – automating and taking yourself out of the business
      • Built to Sell book and podcasts – SaaS as online teacher feedback
    • An agency keeps you as a freelancer, essentially – so try to make it so that it doesn’t have to be you
    • All advice being anecdotal – truth can be applicable to every business, just a matter of you selecting it
    • Started with the docparser and mailparser founder podcast with Indie Hackers (sold to Fortress Capital, also)
      • Found it interesting that there would be people to acquire the type of company
      • Received an email from them
    • Documentation of prcoesses, business processes and building – make it easy to transition into them
      • Connection from beginning and met Kevin recently
    • He started a blog after vacation, thebootstrappedfounder.com
      • Started out Feedback Panda – he was a software developer part-time, she was an opera singer & teaching English to Chinese
        • Feedback writing process took forever – 20 students ~5 min for next lesson and what was taught
        • Built her own system and templates to reduce the extra 2+ hours automatically
      • Knew what the market was because it was her exact same issue. If they could fix the problem, it’d be all over.
    • $10/mo would save hours and made one Facebook post as advertising, then word-of-mouth
      • Allowed them to communicate and have discussions – teaching online blog posts
      • VIPanda – interesting person from user base and interview them
      • Engaging enough, relatable content for their strategy – she’d already been in her groups before she got to the part
    • Teachers as very underpaid and overworked – good spot for business opportunity but not great for employment
    • How to run – he said he probably should have hired for customer service – always did it from the beginning
      • Live chat and messages, would build up an article if others saw the issue again
      • Time when volume happens will be interrupting because there’s new stuff going on while features were coding
      • Forced him to do as much automation as he could build from the software stack
        • Deployment, failure errors, alerting and restarting system
        • Elixir Phoenix, Docker containers and on Kubernetes with ViewJS and other API / browser extension
      • If something broke, it’d come back up – errors automatically reported, etc
    • He didn’t know how to hire, so he didn’t do it
      • Did an 11 hour video series for his next developer so he could send the link and felt great for it
    • Adding a yearly plan near the start was productive – $110 where people would commit to something for a year
      • After a year, noticed they added a lot of features – had a cloud template sharing system
      • Machine learning for pronoun translation, snippets with text extender and manipulation
      • Product was much better – charge more – grandfathered all existing customers to $10 before $15/mo
    • Hooked by Nir Eyal – instrumental – trigger, action, reward, investment – putting own template to share
  • Keith Devlin (@profkeithdevlin), “Math Guy” at NPR Weekend Edition, Stanford Mathematician (School’s In on Wharton XM, 9/1/18)
    • Math throughout the week and your life day-to-day
    • Using Tupperware dish – missing the size repeatedly, for instance
    • In Alaska, teaching algebra to students – remembers having to teach the quadratic equation repeatedly and lengthily
      • Math as a discipline, potentially
    • Math Guy license plate – content of math has changed throughout history, but not necessarily how we’ve done it
      • Save for 2 exceptions that are the printing press and then computing
      • Changes throughout history as connection with ancient Greeks, geometry, and in response to how society grows
        • 18-19th century – chemistry and physics drives, 20th and 21st century – biology and math through commerce, society
    • Cell phones as answering 95% of undergraduate exam questions in fractions of a second, execution of procedure that can be coded
      • Faster, better, quicker for as many variables as you want, just from your phone
      • Shouldn’t test these things anymore but how to do them and when to use them
    • People should have a general sense of numbers sense – different people have levels of it
      • Tips, for instance – example of doubling tax and then taxi cabs or restaurants starting at 20/25/30% since min ppl will enter own
      • Don’t need to learn to execute – won’t get the right degree of understanding without doing it
        • Teach not for execution, but for understanding now – bunch of high school students reverse engineering UPS/FedEx algorithms
        • Had to understand little things to figure out what would go on – Nueva school
    • If you start with technology to interest them, they’re already engaged – good teacher can ask interesting questions given the motivation
      • We shouldn’t have to ask Why’s and How’s and What’s
    • Research in 1990s watching adults after buying things and seeing things
      • If they have to do it mathematically, can get to near 98% quickly
        • if you take it out of the context but the same types of problems, it goes to 37%
        • Children doing licorice (to count 10s) won’t work once you remove it from the context
      • Embodiment of math in video games (Kevin’s been working on it) – reward in it to achieve the reward which pulls away from content
        • Small number that do it right – find a way to represent it that’s natural (in process, for instance – thinking process is math)
        • Slides he shows audiences with the same problem and same situation – one side is math symbols, other is game designed
    • He got a grant for games where the problem adjusts for the game and shows the manipulation of the symbolic representations
      • Intuitive quantitative symbols – working on online course for teachers/parents
      • Introduce problems (from movies, for instance) where you have to begin with writing a paper

Prioritizing Personal Projects (Notes from December 23 – 29, 2019) June 1, 2020

Posted by Anthony in Digital, experience, finance, Founders, Gaming, global, Leadership, marketing, social, sports, storytelling, Strategy, Time, TV, Uncategorized.
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We overestimate what we can do in a short time but underestimate what we can do in a longer period. This has been reiterated by Jamie Siminoff, Bill Gates, many others. It’s telling but a great mantra if you can zoom out and high level back off. Scheduling makes this so much better.

I have wanted for the longest time to get Spotify or another podcast to listen to me in the car and allow me to say something basic like “Make a note 30 seconds ago” and let me review the notes later. This could work for audiobooks or podcasts. Even allowing ebooks and articles to bookmark this type of stuff for where the page is would be useful. But maybe that’s through an API in the podcast or Kindle? I’ll have to see and report back.

In light of planning further career-wise, I have taken it upon myself to take on projects that I plan on making public for analysis sake. As an external consultant, much of my work has been NDA / kept private in general for good reasons (VC firms and start-ups are likely some of the more controlled privacy-wise). Some aren’t, and those are typically the ones that I’ve noticed have a much better, transparent brand or have less questions around their business models. A few things have stood out to me about predictions/forecasting, especially in annual or quarterly time frames that publications will release. I have focused on ML/Fintech/Edtech/Data companies over the last 5 years more heavily, so looking through the Fintech 50, Next Billion Dollar (Unicorn) Startups and Hottest 50 LA Startups. Outside the bay area / silicon valley, scanning through the different ecosystems can be an interesting landscape for focused, scaling and growing startups. LA because it’s still in California, somewhat close proximity but ultimately an alternative driving force than typical elsewhere (namely the bay).

So, I’ll have a chance to update my preliminary thoughts on the year-to-year changes – how many startups dropped off, which proceeded to move up the list, any funding raises, product progress or expansion. Hope you enjoy the notes!

  • Decade in Tech (Wharton XM)
    • 4G entering 2011 compared to 5G now
    • iPad introduction – better than netbook
      • Tablet rampup – Microsoft following with the Slate
    • Social media launching
      • Instagram launch in September 2010 – 2 guys at Stanford
      • Taking photo class from a plastic camera that a professor had given him – best, soft focus and filtered photography
      • Offering to buy Instagram in April 2012 for $1bn
    • Tesla as “gift of light” Model S – first time supercharging across the country
      • Musk took CEO role in 2008 (Model S 2012)
    • WeWork – likeminded individuals wanting to work with others outside of making money
      • Sharing space to be something bigger
      • $16bn in 2016 to pulling IPO in 2019
      • Strength as marketing capability, not necessarily management
    • Controversial events
      • Kendall Jenner at BLM Pepsi commercial
      • United – offering money for ‘volunteers’ until 4 people get off flight
        • $400 voucher and up to $800 – escalation, dragging the Chicago doctor kicking and screaming
        • Many other airlines improving overbookings
    • Ice bucket challenge for ALS – 70k tweets per day at peak
    • A/R rise as it started with Pokemon Go
    • Cutting the chord – rise of unbundling
  • Brant Pinvidic, author of 3-Minute Rule: Say Less to Get More (Wharton XM, Career Talk)

    • Mostly reminding people of what they’re doing badly / guilty – awareness but wanted to change it to make it productive
    • Help you get as much info in 3 minutes as possible since “elevator pitch” doesn’t really work anymore
      • Meaningful engagement or not now
    • Small ideas not actually small ideas – respect the knowledge of your audience
      • Your excitement is a long history of building information – feed them piece by piece
        • Ex – AirBnb for horses: people that travel with horses need to stick them where they’re going
      • Clarity as super compelling – complications are messed up
    • Don’t open with the hook – audience needs to build into the potential
      • Katy Perry example: more Guinness book of World Record accomplishments, for instance
    • Selling a show in 12 minutes in Hollywood as junior producer between Simon Cowell and Mark Burnett – had gotten down on himself
    • People looking for hook – less dynamic personalities (biotech, oil & gas) that pulls the nervous energy out for why it will be great
    • Bringing an idea to life on post-it with just a few words – see the value come together
      • 25 bullet points to pitch his show as well as he did (core piece of information)
    • Halfway to understanding what the hook is when you can place the hook
  • Jonathan Lai (@tocelot), cnsmr team; Joel De La Garza, CIO at Box (16min on  News #17, 12/20/19)

    • Star Wars trailer premier in Fortnite – JJ Abrams coming out of Millennium Falcon and asked to choose which trailer
      • Interactive and persistent collaboration with Avengers and now Star Wars (lightsaber)
      • 12 million people showed up for Marshmello’s in-game concert (of 250 million users)
    • Scarcity in a world of abundance – getting people there
    • Brand advertisers have a limited set of options to reach Gen Z – no display ads, billboards, maybe Snapchat or TikTok
      • Hundred hours of watching YouTube or Twitch or in-game events that eventually go out after to share
    • Fortnite’s Chapter 2 server downtime of 3 days as “Black Hole” that went viral and video
    • Security and backdoor encryption – creating escrow keys to get backdoors
      • Can’t create backdoors undermines the trust in general, even if good guys
    • Any discussion around weakening crypto doesn’t make sense
      • Conflation between a few things: we have systems that are built and they should provide backdoors/access to law enforcement
        • Backdoor to phones, for instance
      • Phone uses strong cryptography and backdoor there – focus on cryptography
      • Phone and put in safe – nobody talks about the steel of the safe – access
    • End-to-end encryption vs getting phone stolen, for instance
      • Roger Stone investigation: WhatsApp and Signal to communicate but iCloud turned on which saved all messages anyhow unencrypted
      • Metadata and other encryption can tell you far more than even the messages themselves
    • If you build devices, how much gov access do you want to provide?
      • Joel (grad student, involved in CDN – bad actors, like pedos, would use and work with Interpol to find them)
  • What to Know about CFIUS (a16z 12/23/19)

    • Committee on Foreign Investment in US on Foreign Investment Risk Review Modernization Act of 2018, updated in September ’19
    • Katie Haun interviewing Michael Leiter (law firm Skadden Arps) about function to review any foreign investment in US business with natsec concerns
      • 13 agencies ran by Dept of Treasury split between 2 camps: want foreign investment and concerned about security (intelligence, NSA, FBI)
      • Semiconductor moving from US to Japan, for instance, that would limit Japanese investments
    • CFIUS limiting in 2006 for Saudi Arabia and Emirates and now is Chinese investment in the US
      • Changes in technology, expansion of data and things that weren’t present even 10 years ago
      • Tech, data touch, real estate, work with US gov or anything else (dog food sold to SEALs)
    • Everyone working in fintech, credit reports, broad financial data will have more than a 16-digit credit card number and will be subject
      • 1 million people for arbitrary amount of data
    • Prior to CFIUS reform, if Alibaba acquired someone, it was up to both parties to submit to CFIUS – vast txns were never seen, no req
      • Both parties come together, transaction description, foreign acquirer, motivation, business reason
        • Good, very bad (president can veto using Article 2), can impose mitigation for sec risk (board of US citizens, data controls, etc)
      • Pieces of reform that are not voluntary – fines and compliance possible
      • Mandatory if company operates in sensitive sector listed, or produce/design export control tech
        • Includes encryption, investment over some size – mandatory filing
        • High-end types of LIDAR – controlled vs standard for automobile, not controlled
      • Could range from (ER99 not, or export-controlled) – computing power, battery storage, sensors
      • Software tends not to fall under CFIUS unless encryption
    • WSJ civil military cooperation – some stuff is mandatory and more stuff will be
    • US business – interstate commerce, could be French office with US office in US – CFIUS gets to look at US element of transaction if French company is picked
      • Green-field investments – foreign investments can be made and won’t be looked at, really
      • Ultimate parent and ultimate ownership of acquirer or investment (private equity, capital)
    • More than 9.9% equity or some other controlling interest – board seat, for instance
  • Josh Sapan, CEO AMC Network (Wharton XM)

    • Challenging to get through people’s gateways to get to audiences
    • Base incumbent business for United States – affiliates, selling ads and that represents their financial fundamental part of company
      • Video prices coming down in different options
      • Spending less money on AMC Networks in the skinny bundles
    • Toughest marketplace for Netflix to deal with – Indonesia, as CEO said
      • Vertical scaling vs horizontal
  • Adam D’Augelli (@adaugelli), Partner at True Ventures (20min VC 12/16/19)

    • Investments in Fitbit, Peloton, Hashicorp, Splice, Ring, Automattic, Tray.io
    • Instructor at Uflorida in Business Finance, founder of Perfect Wave Records (donations)
    • Full-time in June 2010, 10 people total about to invest in second fund
      • Met them through vstocksolutions portfolio company (had worked there internship)
      • Reached out potentially – didn’t know where to start at intersection business/finance/tech – UF not as well-known
      • Phil had offered a role – we like you but haven’t hired someone as junior so come and we’ll see
    • Joining as a young one – new firm where you have a ton to do and roles not really defined, structured
    • Thinking about portfolio construction and business models (under-represented in vc discussions)
      • Fund-level returns for partners – funds at True are around $300mln with specific institutional capital at pre-seed, seed
      • Investments $500k-$3.5mln targeting 20-25% ownership, $2mln for 22.5%
      • Self-selection bias for why they have a better way for them
    • They back founders early, invest $1-3mln and try to own 20-25% where the downside is 1% and it will be a maximize risk for timing
    • 28 people twice, 8 people three times for the founders they’re backing now
    • Amy Errett – starting Madison Reed, wanted $2mln to get off ground for equity
    • In ’06, convincing founders to try not to raise as much
    • Lead investment amount – meaningful bias for single lead with deep pockets
      • New group of firms that will work with emerging founders where they can bring others in, potentially
    • Ring or Splice are interesting businesses now, but in earliest stages, True able to support them through risks at start
    • In each fund, make 45-50 initial investments and reserve heavily
      • 1 or 2 founders, investment in company, will generate the whole fund and 6-8 will be fund-level return (25%+)
      • Inputs to each investment: founder taking tons of product, market size market-risk at their price and raising their type of money
    • Culture at True: decisions done by protagonist with support of 1 or 2 others in nonconsensus way
      • Support for whole team and company – investment loss as part of process for repeatable out-performance
      • 1 of 10 says the company fits the model, bring on team and then get excited
    • Investing at seed stage – 65% near or at company inception, 1 to 3 founders super early
      • Board is access to True, investment team and founder network – monthly call for an hour or so, call me when you learn
      • Board coffees – 15min conversations on this – enable for speed
      • Take board seat at series A – 90 minutes every 8 weeks, roughly, when they have multiple investors, etc…
    • Select funds – pitch to founders: be here day 1, continue to invest as you go further, what’s best for company
      • He was on board at Ring during acquisition – partner John still on at Peloton
    • Learned a ton from Jamie Siminoff – how fast you can grow is much faster than you think
      • Taking asymmetric risk early on within business is valuable – ex. DoorBot – Jamie rebranded
        • Ring.com domain found, was going to raise $3.5 mln – ultimate cost was $1mln ($200k on that day)
    • Favorite book: Doing Capitalism in Innovation Economy by Bill Janeway and Carlota Perez Technological Revolutions and Financial Capital
    • Biggest challenge in role: Doing more doesn’t correlate with improved performance – Mitchell and Hashicorp had left a portco and later invested in him
      • Steve and Splice – met in Bogota at a conference and happened to meet him in NYC for breakfast after
      • Don’t know which activities are the right ones
    • Knowing more about a market – false sense of security to catch up with knowledge
      • Investing in the Unknown and Unknowable – academic paper – markets in many unknowns where knowing more leads to worse decisions
    • David Scott at Matrix – software metrics and repeatable business growth
    • Randy Glide at DFJ Growth – embraces risk and has a human approach
    • Andy Wiseman at USV – small significant syndicate being a great co-investor
    • Pat at Sequoia – depth of knowledge on being a great board member and partner to CEOs
    • Recent investment: MemBio – mission-driven bio and positive impact creating red blood cells outside the body

Listening and Encouraging (Notes from December 16 to Dec 22, 2019) May 21, 2020

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Sometimes it doesn’t work. Asking the right questions to people in conversations to get a sense of what they’re truly passionate about gives me hope for those that may eventually try something different, new. However, unless I followed up repeatedly, most people let their passion slowly pass, or just remain in thought.

This is a big part of how I learn, engage and stay passionate for the things I’m curious about. Other than being scared of stagnation, hearing people come up with ideas, test them, build and hopefully succeed repeatedly gives me an energy to try to convince others to do the same. I understand the difference between being told of something that has been mulling around in someone’s head or even light discussion among friends compared to prototyping or validating with potential customers or asking people in the field if something’s viable.

A few examples of ideas people have told me they wanted to start and hadn’t (yet some that I believe have done well, just have room in the market) include an HR in Tech stories podcast, traveling medicine / tourism aggregator, and a d2c ecommerce diamond shop (which I’ll go into more detail), more social podcast sharing among friends, and still a market-taking happy hour app (yes, I had to insert my own – I’m leaning toward Glide.app through Google Sheets).

For diamond shop – this was by someone who graduated with entrepreneurship degree, had a validation for the idea and then was told by others it wasn’t worth doing because it’d be high cost. Granted, that was a few years ago, but it would’ve been hackable then. It’s certainly easier now with ecommerce shops via Facebook/Etsy/Shopify and other support, not to mention the audience you’d be in front of. The premise is that a diamond historically took the role of what a pearl represented because of the hardness – you could pass this on as an heirloom to further generations, and you know it won’t be breaking. It’s yours. There’s a legitimate attachment there that defines a core part of the worth/value. For the idea – it’s increasingly cheaper to 3D print a model you can build/customize on CAD (or related tools). This would be printed in plastic that can be melted to be replaced by silver – these rings would be sent to customers that are ordering (possibly with a small down payment / shipping covered, ie $5-20). It’s a model of what the ring would look like, just without the diamond part – but as far as sizing/size/bulk and the other key parts of the ring, customers can try them on and feel it. There’s an emotional attachment here that should occur. If they’re loving it, or have requests for changes, they can do that. Possibly a back and forth could take place, but once it’s settled, the wax/plastic mold can be printed as they would normally do a custom ring and use the materials that have been requested. We’ve removed the in-shop aspect and made it personal, simply by removing much of the fixed costs and labor costs that would go in to this. She was an expert in jewelry and had years of experience. Someone just told her no. 3D printing is now a hobby and can be done there. Many jewelers have other shops do the molding. I’ve been thinking of helping her start by just simply creating a mockup of the site. Can certainly figure out the rest.

Anyhow, let’s see the notes.

Week of December 16, 2019

  • Tyler Willis (@tylerwillis), angel investor (20min VC 2/16/16)

    • Raised with seed companies at Index Ventures, Founders Fund, Khosla Ventures
    • Port co’s include Lyft, Patreon, Change.org
    • First co that he was on founding team on was acquired by Oracle, then had a friend raising a seed round for concept in CV
      • Preproduct, premarket where he did a small investment (decided it was bad to keep all eggs in one basket)
      • Decided to invest in Patreon, Loungebuddy (Airport lounges) and ShopApp inside of Shopify
    • Rocketship – valuation doesn’t play a role but ID opps for big (10x path, seed > 10k)
    • Customer acq and growth as a lightweight process to get a core part of the company
      • Optimizing for experiments – 1 week to test compared to 8 week deployment
    • Founder type – uniquely insightful to the place they’re in
      • Bias for people when he can sit down and get a high-octane thinking / smarts – hard to hang out to the rocketship
      • False dichotomy of domain expertise – could have learned wrong lessons or may not know anything in enterprise, for instance
    • East of Eden, Innovator’s Dilemma as great books
    • Favorite investors – Naval, Sam Altman, Gus Tai at Trinity Ventures
    • Favorite app – Omni (stuff storage), Delectable (learning about wine)
  • Ash Fontana (@ashfontana)- GP Zetta, Leo Pelovets – GP Susa Ventures (Venture Stories 12/17/19)

    • Getting pricing power – need to find balance between incentivizing founders and price, but not a big deal
      • If they get 80% of company, 20% for founders – may not keep them looking ahead
    • Company and VC differences – companies have different roles but VC has very similar, solitary roles
    • On non-investing side, COO or Head of Ops to run operations but not particularly CEO or investing side needed
    • Working with best founders, LPs aren’t as important (but they are the primary VC customers)
      • None matters unless you have results for LPs and providing value – founders need the platform or help
    • If you were an LP, what would you want to be in: YC, First Round or Benchmark?
      • YC for Ash – lots of opportunity for capital deployment at many different levels
      • Benchmark for Leo – very large differentiated returns, ~30x according to Leo (YC may be 5x-7x possibly)
        • More variance because of smaller portfolios in Benchmark
      • YC may be beatable but it would be in losing their way as a general accelerator
        • Ash brought up operational risk for LPs – more points of failure because of all the touchpoints
    • AngelList as trading to be profitable and dynamic system for new things
    • LinkedIn as insurmountable lead in enterprise/business space of social network (as opposed to consumers)
      • Hard to disrupt with multiple verticals
    • Requests for startups: data generation/building data (synthetically) – ex w/ params
      • 10k examples of chairs that are brown that have 4 legs, in low light, at this angle
      • Weather climate, also
      • AutoML – making it easy for non-specialist engineers to experiment with ML
    • Leo Requests: ISA with bundling with coaching, training, VISAs – realigning incentives
  • Ben Tossell, founder Makerpad, Sahil Lavingia (@shl), founder GumRoad (Indie Hackers 11/11/19)

    • No-code vs code – building a solution to a problem without being technical
    • First web-sites like Dreamweaver and tables for no-code – like WYSIWYG
      • Halfway things like WordPress where you can customize or use framework
      • Building a newsletter, can use Substack, for instance – Marc Andreesen
    • Sahil’s opinion that we’re unlikely to see a billion dollar start-up without a code base
      • But likely to see many creatives build on their own, have the options
    • Choice of no-code compared to code – using Circle as their integration testing methods
    • Nontechnical founders that had cofounders for developers or finding for cheap
    • Ben as bringing up Lambda School (Airtable, Slack, Zoom, Notion) and Makerpad member who was just starting to say it’s breaking
      • $150mn in Series A to get to worry about things breaking first
      • “What’s my Airbnb version look like?” but should focus on the first $10, 100 before there
      • gumroad-logo-retina
    • GumRoad as being built in a weekend – not competent enough for him to do no-code
      • Ben argued it was easy to do in no-code but they’re each discussing the same thing from different experiences
    • Queries on data for code – tools like Clay/Retool where you can work together – can run queries easily
      • No-coder does query and can recognize it to manipulate
    • Powerful for on-code is git and version controls – clear log of security, feedback, quality of code
      • Apply it to other things – pull requests/merge (conflicts)/conflicts in document setting on Notion, for instance
      • 100+ tutorials in MakerPad now – what’s interesting or grab attention
    • No-code as Patreon/Cameo/Airbnb/Uber where the overhead for coding sucks so much value from (Patreon at $30-40mln burn)
      • Creator would be interesting with price-motivating factors because you could have a more affordable option
      • “What’s the point of trying if I can’t even get to the ceiling?”
      • Meetup clone – need the “this is how you build it” – go look at the tutorials
    • Not enough answers for “Where can it go?” because they haven’t seen enough
  • Niccolo De Masi (@niccolodemasi), CEO and Chairman at Glu Mobile (20min VC 2/18/16)

    • Kendall and Kylie game (#1 at app store at time), Kim K game, Deer Hunter and others
    • Was CEO at Hands on Mobile as well as CEO at Monstermob Group Plc
    • No money to be made in games in 2003 because they were for feature films, polyphonic, true tracks and he ran a public co before selling in 2007
      • Raised money to get bid for Glu from Hands on Mobile but got a call from Egahn Zander to transition to paid from f2p as CEO
      • Original IP value with games specifically for mobile on hardware
    • How will you make money in late-stage startup for future? Next year or two vs past.
      • Forward looking and professional managers – no founders anymore. Built from 350-850 people.
    • Moore’s Law as quite predictable but believes there are different models, utilities, and price models
      • Last gen console power in pockets now
    • Barometer of quarterly calls driving placements and interim 6 week calls for how they’re doing
      • If transparent in bad times, you may have quick punishment vs window-dressing
      • Rewarded more quickly in the upside, as well – private markets vs public markets
    • New startups as worth more than incumbents – bay as more regular here
      • Well ahead in private markets compared to public markets (his counter – at least they have earnings)
    • No BD or CorpDev – scour market and wait for inbounds of compellingly priced assets (often distressed), significant private markets
      • When Glu is $6-7, they can pick up companies easily but not so much at $2-4
      • Savings to be had for core customers when they have scale within Glu (mentioned PlayFirst)
      • “retirement community for young people” – startups subsidized, food, clothing and sharing app
    • By 2020 – more discipline in different sectors potentially – overvalued will have to come in line
      • King that was acquired by Activision Blizzard – consolidation forced by VC funding and people flow
    • Better to be #1 in smaller market than #10 in a larger one – be great w/ you’re good at
  • Tim Draper (@timdraper), founding partner at Draper Associates and DFJ (20min VC 2/22/16)

    • Original suggestion for viral marketing in web-based email to geometrically spread an Internet product to its market
      • Standard marketing technique now
    • EE at Stanford before going to Apollo Computer as assistant to President before HBS
      • Came out and wanted to be a VC (grandpa/father both were VCs and didn’t want to do it) – wanted to be a consultant / cheerleader
      • Helped him having an entrepreneurial base but some can certainly do it if it’s your goal
    • Borrowed money from gov to get started – knocked on doors with software on them
      • Most VCs needed others to help fund a company so they worked together – moreso now for angels, but not necessarily VC because of money
      • VC has gone global and has enjoyed that expansion – affecting the whole industry
    • His son’s accelerator, Boost, focusing so they can accelerate any business – he enjoys investing in 2-3 people with a good mission
      • Get people set up in the right way – medical, eshares, network accounting, and other operational methods
    • Favorite pitch – Nicholas Zenstrom at Skyper – most smooth, effective way and he’d agreed before calling and changing business model
      • Enthusiastic, quiet confidence for the enormous successes – Robin Lee (Baidu), Hotmail’s founder, Martin Everhart (Tesla)
    • Draper Uni of Heroes (entrepreneurs/founders) creating school during crash for better people
      • Give these people the confidence + tools while ridding them of shielding
      • DraperUniversity and StartupU – great marketing for school
    • Bitcoin interesting for a year ahead of the time, and then post-Mt Gox hack it went down only 20% so he jumped in
      • Micropayments, fees in journalism and podcasting as well as ending credits and cross-country
    • Enjoys hearing Andreesen, Moritz, McClure at 500 Startups, Plug-n-Play as first incubator, Ron Conway
    • Reflects on The Startup Game (his father’s) and Rothschild’s Bionomics and concept of evolution of econ and bio
    • Recent investment Laurel & Wolfe (interior decorating as best furniture for crowdsourcing) – closed update Dec ’19
    • Also invested in Favor, marketplace food delivery – acquired by HE Butt Grocery
  • Brandon Deer (@bdeer26), VP of Ops & Strategy at UIPath (20min VC 12/20/19)

    • Using RPA combined with business processes for automation
    • Using Gary Kasparov’s loss to IBM in chess before saying it’s no longer a chess or human – combination where average + average is optimum
    • Having growth and breaking things
  • Wharton Moneyball, Ken Pomeroy and Brian Burke (@bburkeespn) (Wharton XM)
    • Discussing the biggest predictors, NCAA basketball or in football
    • Pomeroy and how he’s adjusted his football predictions

If You’re Not Sure, Ask (Notes from Nov 25 – Dec 1, 2019) March 26, 2020

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Hopefully everyone is staying safe in this current environment of CoVid19. A wild start to the year and March, especially. Seems prescient to identify those of this week of notes, especially with Domm at Fast trying to make things easier/painless in checkouts for ecommerce, Iman at Incredible Health trying to gain power for nurses and the healthcare workers on the front lines, as well as the investment questions we should be asking with Rob Carver and Meb Faber.

Before jumping in, though, I just wanted to reiterate something I’d heard in a few times across forums/channels and communities I participate in – just ask if you have a question or hesitating! It’ll be worth it – or you’ll be in the same position you’re in now. Social interaction and discussion will be key in how we come out better than where we started. I implore you – ASK. Anyone. Hope you enjoy!

  • Domm (@domm) Holland, founder and CEO of Fast (20min VC 11/15/19)

    • Raised seed round from Jan Hammer at Index, Susa, Kleiner Perkins, Global Founders and angels (Inc Harry)
    • Director at Tap Tins and CEO/Founder at Tows
    • Introduced at 15, started programming and in Australia when it wasn’t cool, building was what he enjoyed
      • Had a large startup in Australia for a bit
      • Wife/him were in the hospital looking after son/daughter and he was home with the wife’s grandmother when she couldn’t order
        • Forgot her password and wouldn’t take credit card because of arbitrary string – pw-less solution, auth as simple solution
        • Put it on ProductHunt and it was #2 for the day
      • Doesn’t make sense that customers can’t move between businesses with their authentication
    • Ran out of money in a legal battle with Tows – $17mln that government decided to not pay
    • Many people don’t want to solve the problem – they do band-aid fixes, complex solutions
      • Build network of independent contractors of tow trucks
    • He just looks at what he’s doing as solving problems, solutions – Stripe gave businesses the infrastructure to process credit card payments
      • Built critical infrastructure that others didn’t have – similar to authentication, Shopify, etc
    • Everyone has been building payment, authentication, registration forms all first-party and customer tokens
      • Alternative business models and sharing data conflicts with their independence
    • Deciding to be SF-based – he only has certain hours in a day, but limited output and larger market and tech companies
      • People in SF value equity far more since Australia has issues with company stock and issuing options
      • 50, 100, 150 bp in SF to make it worthwhile
    • Had done an angel round of $600k Australian, ~$400k to continue product development and areas he didn’t have expertise in
      • Put out job ad for remote role thinking they’d get 1 or 2, had a fantastic applicant from Nigeria for talent
      • Money was so much less than what was budgeted – average earnings, paying 50% above market and fantastic employee
        • So much so, they have 10 employees there – Nigeria with 190 million people, remote and solid advocates
      • Managing engineers in person/remote are similar anyhow – adjusts his time zone to them, checks in to each daily
      • Structured time for functional areas and 15min calls to go over work regularly
    • His differentiator is speed, time – act promptly, efficiently and doing things early by operating in that manner
      • Walks 3-4 miles through Tenderloin in SF to make sure he sees inaction as a reminder
    • Thirst for knowledge – difficult to not come across new things (Twitter as a tool for exposure to people, tools)
  • Frank Fiume (@frankfiume), Founder and CEO of i9 Sports (Wharton XM)
    • Talking about burnout – body’s anticipation of requiring a form of change
      • Entrepreneur burnout – results not meeting expectations for an extended period of time
    • Using behavior tests to filter out the people who may be too similar once you’re looking to hire for expansion
      • He made mistake of hiring people he liked and matched with, as opposed to those that he needed
  • Meb Faber (@mebfaber), founder of Cambria Investments on The Road Less Traveled (Resolve’s Gestalt University, ep.05 6/27/19)

    • Discussing with Adam about his bs meter – how crazy it is to be overweight US equities
    • Canada is worse – 86% of advisors
    • Global allocation and strategy – always keeping files on board for ETF, not sure when they are needed or will be used
    • Launching 2006 with trend following paper and opening ETFs as broadly better managed strategy/fee structure
      • Agnostic – just wants to offer best client experience, strategy
      • Holding for long periods as how the strategy should be assessed, not weekly/monthly/quarterly/yearly
        • Managers tough to judge on this long time frame
    • Being on call with asset managers where they ask what the best funds are – why? So to avoid them?
    • Currently, tax efficient in emerging small/medium cap for long-term 15+ years
    • Market cap as terrible way to weight portfolio – as you select highest cap-weighted company, they don’t often stay there
  • Jon & Justin, cofounders of Transistor.fm (Build Your SaaS – bootstrapping in 2019, 11/26/19)

    • Building and looking at Transistor.fm and other podcasts
    • Dropping the revenue numbers on Baremetrics – not just competitors, but eventually there won’t be 50% mom growth
  • Mythology Manager (Marketing Matters)
    • Marvel and having a different marketing aspect for big films and otherwise
    • Different projects and input for actors/characters
  • Rob Carver (@investingidiocy), Systematic Money, author (ReSolve’s Gestalt U ep. 03, 5/9/19)
    • Discussing different risk metrics – hard to predict or calculate Sharpe ratios so he assumes they’re the same, often
      • Sharpe as primary vs secondary metric – meta-factor
    • Construction of portfolio as time frame and strategy – used to start with $100k (first book), most recent book with $500 capital
    • Performing out of sample vs in sample – binary strategy vs weighting
    • If you don’t select a strategy, you’re biased against it – “Three Judases”
      • Properly keeping strategies in the files/repo to backcheck (if you get rid of some that you’ve used and got out of, others can’t replicate)
      • Proper weighting would be signals that activate / de-activate strategies, maybe keeping the ones above a threshold
    • Private equity and private assets discussions – what’s optimum? 1, 2, 10, 50, 100? Take on risks for this, should be rewarded appropriately.
      • Is it 5, 10% of portfolio? Size matters and type of assets. Mentions GE as having a bunch of minor bets on the private side with more liquidity.’
  • Beth Hendler-Grunt, President and Founder at Next Great Step (Career Change, Wharton XM)

    • College attendees going after internships early – not just through career fairs
      • Not everything career-wise is linear, can be creative
    • Portfolio & value add – “What happens if you didn’t return tomorrow, next week, etc…?”
  • Iman Abuzeid (@imanabuzeid), CEO and founder Incredible Health (a16z 11/28/19)

    • Nursing Today, From the Bedside and Beyond
    • 2018 Biggest industry in terms of number of workers – clinical workers are 60% nurses – 3million of them
      • Regulated in California where the ratio is 5 patients to 1 nurse
      • Beyond 12 hour shift, 2.5x more likely to make medication errors – documentation as well
    • Shortage of faculty, nurses and all cities – also pays well, compensation-wise (California $100k, SF $140k, LA $120k)
      • Magnate certified is hospitals with majority of nurses bachelors recipients
      • When overstaffed, higher cost of overtime to contractors and less patients (in a thin margin business of hospitals, ~3%)
    • Talent / HR teams as inefficiency across the board – haven’t changed since ’90s
      • Tech tools don’t work for specialization/unique cases – job platforms are just ziprecruiter, indeed, LinkedIn but not matching certs/degrees
      • If you’re trying to fill oncology nurse, CEO and sales – one horizontal platform vs vertical platform
    • Most healthcare workers aren’t on LI, search and discovery is hard and fields aren’t specific enough, InMail response is < 10%
      • Narrow vertical, one job description and complexity is enormous – takes level of focus and optimization to add value to healthcare system/nurses
      • Incredible Health: Employers apply to talent, automated screening of certs/licenses/experience/skills with tech, custom matching
    • Hospital/health systems are able to fill positions in < 30 days when average is 90+ days – topline benefit
      • Churning nurses costs more on patients, complex environments for matching, high-stakes in retention (moreso than others)
      • 20% turnover with tight labor market – overworked, burnt out, better staffed, commute times, 90% women, higher pay
      • Hired in 11 days – have their act together and higher employee engagement
    • Hospital recruiters have a 7 day countdown for interview requests, scarcity for competitive nurses
      • Only platform that nurses get to make their profile and sit back after for interviews

Back from Vacation (Notes from Nov 11 to 17, 2019) February 11, 2020

Posted by Anthony in Automation, Blockchain, cannabis, Digital, education, experience, finance, Founders, global, gym, Leadership, marketing, NFL, NLP, questions, social, Strategy, training, Uncategorized, WomenInWork.
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It had been a long while – 9? months since taking more than 1 day off extra and closer to 20 months since I’d had a week off in a row. I visited the Big Island in Hawaii and stayed primarily on the west side of the island. Gorgeous weather and awesome beaches will bring me back, hopefully shortly.

I want to write a bit further about the escape, but I also want to get these notes out, so I’ll write further in later this week – Thursday.

Enjoy these notes on some of the fascinating people of Eniac Ventures, other investors, founder of EasyPoint, ReSolve quant, research professors, former professional football player and a Nascar driver.

  • Hadley Harris (@Hadley), Founding GP at Eniac Ventures (20min VC 2/3/16)

    • First mobile venture, Soundcloud, Airbnb, Vungel
    • 2x entrepreneur in mobile – Vlingo (acq by Nuance for $225mln) and Thumb (acq by Wipulse)
      • Was one of first employees and execs running marketing and bd while working with product
    • Worked at Samsung and Charles Rivers Ventures
    • Studied engi & math as undergrad @ Penn, joined MSFT & Samsung
      • His 2 really good friends at Penn and him came together for Eniac in 2009
      • Mobile – next place for computing – cleantech was hot at that time, as well
    • SF was 50%, NY as 25% and the rest was elsewhere – won’t lead but will do a pro rata and be key in fundraising for next
    • Living & breathing the co – coming to right valuation, inevitable for down or flat rounds
    • 18-24 months from seed to series A or pre-seed to seed – funds becoming more institutionalized
      • Leading rounds for Eniac at $1.2 – $2mln
    • Favorite book: Freakanomics, read it in one sitting
    • Tools: gmail, relayedIQ for deal tracking, as todo list, also
    • Don Valentine – godfather of VC, great investors but great entrepreneurs and fund raisers
    • Favorite blog: Nuzzel – curation of reposts
    • Underhyped: mobile enterprise; Overhyped industry: big fan and he does work in social, but lot to weed through
    • Most recent investment: Phhhoto – knew the founders, they’d known each other for a while, great design and numbers – self-funded
  • Zach Resnick (@trumpetisawesom), founding EasyPoint (IndieHackers #130, 10/28/19)

    • Iterating your way to founder-product fit, currently at 10 people, 5 full-time, $600k ytd with 15% yoy organic growth
    • Traveled, worked and lived abroad in Jerusalem before school, infected with wanderlust
      • CC churning and manufactured spending while he was learning at school in Ohio – VISA gift cards to $1k
    • Banking often makes more money on the chance that you’ll become a customer for other areas of business (mortgage, checking account, brokerage, etc)
    • Started when he was 19 – would give advice to parents/family/friends on the year before getting an hourly rate for paying customer as consultant
      • Enjoyed his help, he liked helping others – he was getting $1k/mo from hourly before going up
      • Consulting clients – he was helping optimize for business or vacation trip for the points
    • Started Land Happier to solve a problem of having everything in one place
      • Cultural norms, transportation, 6 other things for information in a fun and compelling app product (MVP on app store)
      • Wasn’t solving a problem that nobody has, but nobody would pay for – product/founder fit wasn’t there, either
    • What he wants – enjoys negotiating, strategic thinking, interesting conversations and sales moreso than product focused than customer focused
    • While working on Land, he productized his consulting – generally was helping family friends that were parents’ age
      • Amount of effort he was putting in compared to the value wasn’t the same – not high enough
      • Started to focus on small business or medium enterprise owners to put spending on the right cards and get 6 figures on spend return
      • Focused on people he knew through referrals, points optimization plans for small owners – acquisition and spending for more value
    • Early stage owners – hey, this isn’t free
    • Playing poker for relatively high stakes – teaching important principles, statistics, risk management and psychology
    • Consulting to productized consulting service – had a family friend with small business who would see a $50k in increased return on spend
      • He could do a quick analysis and understand business more, try to get a customized points optimization plan for points
      • Small business owners are leaving 1.5%, maybe 2.5% on the table – using points better for things you already want to do
    • Providing value but people didn’t know what it is or weren’t hurting – show them math for 5 figures within a year saving
      • Guarantee: if you sign up points optimization plan, if he doesn’t get you double what his fee is within first year, he gives money back and $10k
      • Making people aware of the problem was going to be a lot of work – never really got off the ground for outbound
        • Was just a way to make money, not necessarily grow it really fast – customers’ needs
    • Concierge service now (v3 EasyPoint) focusing on business and first-class international long-haul service
      • Over whatsapp and telegram groups – makes a flight request and they get back to them 24/7
      • They use miles and points that they buy from clients and then use those to book for others
      • Brokers buying all kinds of points and miles – so the arbitrage there contained issues with ToS and such
        • They’re buying transferable points like Chase / AMEX directly to frequent flier accounts
    • Working for someone else – interned with The Points Guy and when he was looking at doing it, he posted on the Facebook group
      • Cameron, now their COO, was very good – would he want to have his hires over for dinner?
      • Team of 10 now: Cameron manages concierge, growth marketing (5 on team, looking for Asia now)
        • Part-time business development consultants, full-time that have been searching
      • Revenues and loans for growth/cash flow, venture debt and possibly equity raise
    • Concierge service with product-market fit and being focused – enterprise value of $100mln probably but not billions
      • Not much needs to be tweaked for core product – fund raise would be for a different product
        • Help consumers decide on if they want to use their points or cash when booking – trying to automate this for concierge/back-end
        • Chrome extension and booking engine to use or not – this may be billion dollar opportunity
  • Andrew Butler, ReSolve’s Head of Quant Research (Gestalt University, 10/2/19)

    • Machine learning in markets: Silver bullet or Pandora’s box
      • Unsupervised, supervised and reinforcement learning differences in application or finance
    • Student of mathematics, physics in undergrad, keen on not memorizing a lot of stuff – enjoyed the applied side
      • Oil reservoir simulators that modeled tidal flow in Bay of Fundy, wind turbines in giant field for optimization
      • Next step was working on a sub problem of simulators – complex, computationally expensive and trying to optimize NPV in 60d oil field
        • Navigating the nonlinear, nonconvex solutions – how to make a reasonable model approximation by sampling sparse reps of simulator
    • How would simulator/emulator apply to financial world in momentum and moving averages
      • Sample distribution would fit well to out-of-sample distributions in physical world but finance wouldn’t – nonstationary
      • Caused him to use simpler models, momentum models (and transformations) and ensembles of simple factor models
        • Mean-variance optimization, error maximizing, in-sample won’t perform well out of sample
    • Wanted formal training in financial engineering, so went and got a MFE
    • Practitioner compared to theorist – after a conference talk, his construct was mean-variance was same as regression
      • Subspace reduction and regularization as identical terms for mean-variance
    • Machine Learning as 3 subspaces
      • Unsupervised learning -> clustering and dimensionality reduction
        • Targeted marketing, customer segmentation and in finance: signal processing, optimization or portfolio construction
        • Trying to uncover relationships/groupings/clusters contained within a dataset
      • If total error is dominated by bias, it’s likely overly simplistic – X as model complexity and Y as Total Error (Bias / Variance)
        • Increase complexity, bias term can decrease, increasing the variance (instability/overfitting)
  • Kelly Peeler (@kellypeeler), founder / CEO NextGenVest (20min VC FF#034, 2/5/16)

    • College Money mentor, empowering students to live full lives, history of financial crisis for motivation to start
      • Went over to Iraq, started and enabled some companies to build there in 2012
    • Went to JPMC after graduating to make some money before starting NGV for students
    • Financial organization to financial efficiency – going from Mint (organizing money for a user’s financial lives)
      • Now people need efficiency – time priority, optimizing time through automation and personalization
        • Leverage trust to improve time in the background (automation and not wanting to have to look)
    • High school trust and students have nobody they can trust for guidance – 8% trust banks and financial institutions
      • If you can build a product/service, on your way to building trust
        • Save users time, money, customized experience
    • Serving their customers with SMS and Snapchat – smarter push notifications for the right service in the right way
      • Couldn’t customize communication inside an app, so they did channels that they chose
    • NGV clubs at high schools across country – new high schools brought in, engagement and grassroots
    • First product that they brought on was for the financial literacy test that 17 states need
    • Favorite book: The Thank You Economy – best people outhustle to get more customers
    • As visual person, can focus on 1-3 things at a time – preps in the evening, large index cards
    • Adam Nash at Wealthfront – build trust with dynamics of product and the culture of company
    • Spent too much time at focusing her weaknesses but has tried to get better on that side
  • Sam Yagan (@samyagan), Starting OkCupid, Sparknotes (Wharton XM, Marketing Matters)
    • Turning down consulting job for OkCupid start – told he was crazy but wanted to take the chance
      • Free model and how do you value customers but competitors were Match and eHarmony
      • Had to get enough people on all sides of the market and then could use the data to help
    • Internet wasn’t designed to take an expert’s ideas and just use those – bigger than that
      • “You know what you want.” We’ll pull it out and figure it out.
      • Google comparison – index all the pages and figure those out to place on first page
      • Creating a platform to ask all the questions and focus on them
    • Sold Sparknotes in 11 months, took OKCupid 8 years (sold to Match, was there for a year)
      • Got the job running the company for another 3.5 years as Match CEO and created Tinder
  • Rob Gronkowski (@robgronkowski), All-Pro tight end (The Corp, 10/1/19)
    • A-Rod investing into Rob’s brother’s, Chris, company Ice Shaker
      • Were able to put money in, along with Mark Cuban, when they were on Shark Tank (all brothers)
      • Rob, upon retiring, bought Arod out of his shares in the business with Chris
    • Fitplan – Arod gave Rob a discount on the shares in Ice Shaker and he just wanted Rob to look through his company
      • Rob invested with Arod – parents were in business (gym equipment for retail/commercial for 28+ years)
    • Kraft being an owner for the team and being around the game – interested in everything
      • Rare to see owners in the locker room and talking with players – many players say they’ve never seen others
      • Brady, Kraft and Belichick as being the greatest people and diagnosing problems/plays and adjusting
    • Rob wants to travel – done a lot in the US
      • Traveling a week from that day to Israel with CEO Barry of CBDMedic there
    • Being reckless as single Gronk in the NFL (loves Camille now, though)
  • Horst Simon (@hdsimon), Chief Research Officer at LBNL (Curious Investor 9/3/19)

    • Difference between ML and programming – validity of an email, for instance
      • Computer looks for “@” and domain name, iterative of if-then’s, marking valid or invalid
      • ML – give details of valid and invalid email addresses and have the computer figure it out with a statistical model for rules
        • Relationship between information
      • ML more as being able to see if something is a cat in a picture – hard to program that
    • Helped establish the Berkeley supercomputing center – big role all across the world now to complement theory by simulations
    • More data than ever before, 90% of digital data created in last 2 years – more in 2018 than all of human history
      • Finance can’t generate more data like autonomous cars, for instance (100 cars means 100 more data points)
      • Markets/economics are dynamic – return predictions of signal:noise approaches zero
        • Driven by economic features of markets – competitive, profit-seeking traders that act on it
      • HFT as real barriers to entry so they’re less efficient and more predictable, potentially
      • Quantitative traders don’t use raw data – they use transformations such as log of equity, cross-sectional rank of book to market ratio
        • Neural network tries to find what the best transformations are (X -> Y and explore all the connections)
    • Bonds example: predict if issuer will default or not with firm information using random forest
  • Rajiv Shah (@rajcs4), Data Scientist @ Data Robot, Adjunct Prof UChicago (DataSkeptic, 10/22/19)

    • Started engineering, studied philosophy and law, PhD in Comms before doing research as academic
      • Worked at State Farm and Caterpillar before going to Data Robot
    • Deep learning applications in motion data like NBA player data, motion tracking arms and legs (PoseNET, for instance)
      • Nature paper published that used deep learning to study after-shock patterns for earthquakes
    • Going through paper – simple starting point or baseline model was skipped – how much value is really added, then?
      • Looking at the 6-layer problem – approach wasn’t unexpected when using keras to add layers
      • Results generated: AUC of 0.85 compared to naïve benchmark of simple, physical model – AUC of 0.58
      • When he reproduced it, test set results were higher than training set – yellow or red flag for model
    • Group partitioning – 130 earthquakes happening right after each other, near each other and related
      • Make sure the information for an earthquake/customer doesn’t get split between training / test sites to avoid leakage
      • Basic grounding of fundamentals for setting up initial training data, partition based on time to avoid that, as well
    • As community, ensure that there are best practices and guidelines – reproducibility as a large problem lately
      • How to police boundaries for the general field – influence of institutions in publishing (for this, Harvard/Google/Nature mag researchers)
      • Good from them: the data and model for the code was freely available and he could do it on his laptop / notebooks
      • Academics from the earthquake field reached out to him with some qualms and he’s partnered with them for a blog on efforts
    • Interpretability focus trade-off with accuracy – that he’ll speak on at Open DS Conf
      • Lots of tools for explaining models with transparency now, though
  • Julia Landauer (@julialandauer), NASCAR driver (Stanford Pathfinders, Wharton XM)
    • Being on Survivor (suggested by a friend while Soph in college), racecar driver
      • Picking Stanford because of so many people that were awesome / ambitious
      • Mentioning Andrew Luck saying that this was why he chose it – people wouldn’t particularly care
    • Driving at such a young age and in Manhattan – not getting a license there until 18 on campus
    • Having to pitch and learn how to pitch at a young age for sponsorships, running a team and the cost, even at minors – $500k+
    • Some 12 female drivers and being competitive

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.
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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)

    • 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)

    • 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)

    • 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)

    • 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)

    • 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.
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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)

    • 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)

    • 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)

    • 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)

    • 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)

    • 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)

    • 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)

    • 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

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

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

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

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

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

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

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

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

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

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



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

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

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

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

Different Ways to Create (Notes from June 10 – June 16, 2019) July 3, 2019

Posted by Anthony in Digital, experience, finance, Founders, global, Hiring, Leadership, NFL, questions, social, Strategy, training, Uncategorized, WomenInWork.
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3 fantastic sounding women to start. One in VC and finance, discussing the difference between NYC and SF for her. The second compared in-house marketing strategy and outside influence. What’s that look like? How much control is there? Last, but certainly not least, was an author who discusses something that I’ve seen with family and my sister – the challenge of raising a child while balancing some semblance of normalcy in work. What’s expected from yourself? What should be reasonably expected from work? What’s a balance?

Those women: Erin Glenn, Julie Scelzo and Lauren Smith Brody.

A few sportsmen discussed data and capital. Sixers Innovation Lab and former exec for And1 mentioned how they think about growth in Philadelphia and the brand, who can they support in the community that can also help with the team. John Urschel, former Baltimore Raven, is a published mathematician now who discussed the influx of data collection and analysis among all sports and teams. What they can do makes a great athlete experience, fan experience and overall performance improves.

A plethora of rising stars followed, from Kanyi of Collaborative Fund to Sofia Colucci of Coors and the co-founders for SHINE text. Hope you enjoy my notes and you check out the podcast episodes!

  • Erin Glenn (@leeeringlenn), CEO of Quire (20min VC FF025)

    • Entrepreneur as kid – day business for summer camps, then management consulting, IB and took a company public (econ consulting firm)
    • Got bug to start own thing in 2010 – joined KIXEYE in SF for 4 years, video game company
    • Wanted to go to NYC (as kid in OK) – went to meet w Betaworks, fell in love with Quire
      • Mutual conv to join Quire – loved it – equity crowdfund co
      • Venture-back co’s enabling portion to raise for community & mission
        • Min. investment is $2500 – supporting larger investments as well, up to $250k
    • Likelihood for investors to get taken advantage of – Title III discussion (investors with <$100k income/net worth can invest up to $2k or 5% of income)
    • Mattermark study on investor bases that exist and why people do invest
      • Investor and diversity – minority, gender, big differences in those that follow Mattermark or others
    • Crowd won’t provide scaling / grow money (the $50mil+ rounds), but community can help participation at a lower level
    • Motivation to invest, other than financial incentive – supporting company’s mission + founders, spurring economic growth + innovation
      • Real commitment to realize dreams, grow economy
    • Benefits with crowd investing for company – moral and psychological
      • Supporters of the company can invest, which is reinforcing for doing it – customers that are owners of the business spend more, loyal, etc
    • SF vs NY startup ecosystems and CEO role
      • Had joined Quire with 2 suitcases, dog and air mattress after 2 days there
      • CEO role – really fun and exhilarating with challenges daily, gained confidence at eliciting feedback from ideas
        • Coming up with better solutions and getting them to help because we don’t have all answers
      • Intensity and vibrancy, competitive spirit in NY even though it’s smaller-feeling
        • Want to take on SV and not give up the competitiveness
        • More female founders in NY – fashion, finance, media in senior executives trying new things
    • Favorite book: Magic Mountain ahead of WWII in Europe, Switzerland
    • Favorite blog: Fred Wilson’s and Tim Cook as favorite innovator
    • Gimlet Media (first investment), Kano, Duel as others
  • Julie Scelzo, executive creative director at McGarryBowen (Wharton XM)

    • Talking about marketing difference between in house and outside
      • Going from Creative MD for Pandora to take on MGB AMEX
    • Moving from agency to internal at Facebook – not even a salary bump, but just felt right
      • Worked helping clients was rewarding but she missed creating
  • Lauren Smith Brody, author of The Fifth Trimester (Wharton XM)

    • Discussion of parental leave in the workplace – if uneven with your partner, mixing it up or staggering
    • First 6 months as crucial for development – how to best alleviate this
      • Every person is different and has different attitudes
      • Nobody can generally be told how something may feel for them
    • Having the partner available in the first 6-9 months provides evidence that they’re capable, and can understand some of processes
    • First day of work being scary – moreso as a parent – train whole life to be in workplace
      • Can be comforting back at work, not so much for first days as a parent
  • Dilip Goswami, Molekule Air Filters (Wharton XM)
    • Being his father’s son, a typical engineer
    • Developing and deciding what part of product to have in house vs outside
      • Hybrid model
    • Having customer support and knowing it worked – shipping and using that as validation
  • Seth Berger, founder and CEO of And1, Sixers Innovation Lab (Wharton XM)

    • Discussing how coaching basketball to young adults was so helpful
    • Marrying And1 with his passion for basketball and teaching and being around it
    • Sixers Innovation Lab – knew Josh from the 90s working on a failed internet co originally
      • Helping with capital up to $1mn and seeing 10x returns so far
  • John Urschel (@johnCurschel), Former lineman with Ravens, MIT mathematician (Wharton XM)
    • Talking about the lifelong balance of math / football from his memoir
    • Thinking about where analytics may be super exciting in sports – real-time strategy if they’re allowed the computers / data on-field/court
      • Tracking data is so strong, it’d be interesting to see what coaches may do to get there
  • Nathan Furr, Curtis Lefrandt, Innovation Capital author (Wharton XM)

    • Author discussing how innovation costs resources
    • Talking with Marc Benioff and others for the most innovative leaders





  • Sofia Colucci, VP Innovation of Miller Coors (Measured Thoughts, Wharton)
    • Introducing a new brand, Cape Line, into the world
      • Usually a 1.5 – 2 year process for a corp this size
      • Cut it down and released in 2019, dropped the other project (Project Sprint)
    • Had already done market research, wanted a more healthy, alternative to beer for women – cocktails in a can
      • Packaging and what that would look like after tasting
  • Jennifer Pryce (@jennpryce), President CEO of Calvert Impact Capital (Wharton XM)
    • Impact capital and how they grade different companies on the degrees for investment
    • Infrastructure, seeing them surpass $1bn
  • Marah Lidey (@marahml), Naomi Hirabayashi, co-founders of SHINE app (Wharton XM)

    • SHINE as a wellness app for meditation
      • Gaining ground with their superusers – seeking feedback
    • Self-care platform, weren’t sure how they attracted so many men – but it’s definitely catered to their experiecne
      • Reached out to one of the first superusers that was male to get his input and to have influencers help
    • Product-market fit and development was always based on how they wanted the app to be- what they were searching for
  • Kanyi Maqubela (@km), Partner @ Collaborative Fund (20min VC 094)

    • From South Africa originally, investments into CodeAcademy, Reddit, AngelList, AltSchool, TaskRabbit
    • Founding employee of Doostang, attended Stanford Uni & worked on Obama campaign in 2008, as well
      • Dropped out of Stanford, compelled by interest to see other part of world – did a startup, $20mil of VC funding for a couple startups
        • Being young, decision to leave was easy but once he’d left, it was tough
        • Making friendships and lasting connections easily in college – some communities outside, in pro world, was rough
      • Met his partner, Craig, while finishing school and doing work in design – convinced him to help him with CF
    • Investors are those that believe in collaborative economy – nodes, peer-to-peer and nodes for networking
      • Every consumer/employee/companies have obligation to align interests and value sets
      • Looking at companies to focus on impact and values – aspirational culture as outcome of collaboration
    • For the fund – stage specialization or theme?
      • Theme may be time-efficient-oriented. Reminder that many of most successful people have skipped on massive wins multiple times over.
        • Altman mentioned about having a point of view and heuristic to drive decisions (whether it’s stage or theme)
    • Being a partner at 30 – GPs with skin in the game
      • As young, have to have been very successful early or came from money to get into the fund
      • Needs to prove himself but as younger, may have been very risk adverse in the sense he wasn’t free-swinging
        • Facebook went public 7 years (quick for industry, but not necessarily quick for a fund) – feedback loop timeframes
      • Million ways to market as investor, drive value as portfolio, data, theme or stage specific
        • Blog as high leverage marketing for himself, writing is how he clarifies his ideas to himself and the public
    • Limits and is very prescriptive for the networking aspect of VC, conferences – wife in medical school so when she’s free, he makes himself free
    • Accelerator / demo days as good for investing – he likes being first institutional round, but thinks demo day to discover is not their best way
      • Sometimes the due diligence for demo days of seeing what’s out there
      • He uses them to talk to other VCs, see source and deal flow – coopetition – high leverage, high marketing channel
      • His best way in is likely the portfolio companies under them – he looks for connections for new places and vouch for them
    • Naming Fidelity markdown of a bunch of companies – saying that private companies are being treated like they’re public companies
      • Realtime prospects that are valued – can go up or down, financing or not
      • Private crowdfunding to create liquidity, getting to cash flows and thinking about dividends, debt, crowdfunding – IPO bar is so painful
    • Fav book: Brothers Karamazov – Dostoevsky as “fiction bible”
    • Union Square Ventures as the one he looks up to – Benchmark, also (Read ebooks)
    • Concept of Founder-friendly – agency from founders holding them responsible, but becomes messy / complicated
    • Most recent investment at that time: CircleUp was series C, crowdfunding platform for CPG – other forms of financing for orgs will be transformed
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