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

Posted by Anthony in Automation, Digital, education, experience, finance, Founders, global, Hiring, Leadership, marketing, medicine, social, sports, Strategy, Uncategorized, WomenInWork.
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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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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)
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    • 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

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

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

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

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

Hope you enjoy the notes.

  • Patrick / Raamayan, Cofounder of Unify (Wharton XM)
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    • Global meditation, achieving state of flow
      • Could be gym, yoga, prayer, running
    • If you have an hour, you have 15 minutes
  • Brianne Kimmel (@briannekimmel), Worklife Ventures (20min VC 10/14/19)
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    • Backed by Andreesen, Chris Dixon, Zoom’s Eric Yuan, and friends Alexis Ohanian, Garry Tan, Matt Mazzeo
    • Teaching General Assembly while operating in performance/growth marketing role at Expedia before Head of Social Media
      • Go-to marketing bootcamp (SaaS school now)
      • SaaS school taught my brand name heads at SaaS top places
    • Started with $25-50k angel checks in Webflow, Voiceflow, Airgarage and built a track record
      • Wanted to build a SaaS-fund to focus on go-to-market from bottoms-up
      • Enjoys building and structuring companies to get into the Venture-sized outcomes
      • Having a fund that’s open enough to maybe do private equity after stuck between $3-5mn ARR
    • Optionality for early stage, inflection points, maybe getting growth PM to scale into CEO
      • $150k checks incrementally grown from $25k
    • Proliferation of funds and capital – investing from own, micro-VC and angels platforms
      • Scouting for VC fund – operators at hot tech company
      • AngelList and Carta as platforms for own angel funds or boutique arrangements (flexibility with checks, numbers, still operate)
    • Celebrities/athletes using investments in startups to match their brand or expand it
      • Intersection of work and life – seeing Faire and Shopify give access to a huge new audience
    • Angels with leverage in cap table – “perfect one” and she grooms founders for this
    • Worklife – services and programs to unlock human potential at scale
      • Hypevsaas – traditional language for b2b is dead, according to her
      • Great saas being built by operators spinning out of consumer tech (Airbnb, Coinbase, Uber)
        • Scaling too quickly where they end up building their own tools before open sourcing or monetizing
      • With self-serve SaaS companies, many APIs and workflow tools, are easy to build – what’s the competitive advantage
        • Your access to tech, building closed products (specific users in line with product vision)
      • Opposite of Hypevsaas as “Scrappy SaaS” – going away slowly, race similar to consumer product for paid marketing
        • Freemium to quickly launch/build but products too easy – race for free users and attempt to monetize later
        • Mirrors side hustle or application as experiment with a possible traction
    • Consumer-grade experiments where users pay from day one – mentioned Superhuman and Rahul’s talk
      • SaaS school discussion about video game design and hook
    • Pace as most recent investment – accessing software with lower monthly rate because they access the contracts
  • Justin Kan (@justinkan), Founder / CEO of Atrium (20min VC 6/21/19)
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    • Full-service corporate law firm for startups
    • Started in 2004 with online calendar a la Gcalendar called Keeko, got into YC
      • Failed and sold it on ebay eventually
    • Then started Justin.tv – terrible idea that mostly failed and eventually made it into a streaming site to do Twitch
      • Sold in 2014 to Amazon, started another company called Exec in 2015 – errand service
      • Became a partner at YC but realized after a few years that an investor full-time wasn’t for him
      • Forced, as a startup founder, to learn things (hadn’t been learning as an investor)
    • 2017 – remembered how painful it was learning things – thinking of ideas
      • Conversation with a partner at a law firm in the city – asked her why they didn’t use any tech themselves
      • Full-stack corporate law firm in US – high growth companies that they’re building for last 2 years
    • Had used legal services no matter what they had – big transactions pay attorneys regardless, stable market
      • Will exist in a downturn because things don’t just stop
    • Remembered that every summer at the start of his startups, he would want to quit – think of new ideas or new things
      • Once out, he’d think he didn’t want to do it again, until it brought him back
      • First 3 months – thought he was great, figured it out due to 10 years’ experience, until stress came back
        • 6 months of stressful period – figured it out that he was still fine, reputation/old job
        • Self-improvement and growth had to come from culture
    • Hard to detach yourself from company as entrepreneur
      • Has attachments and notifications to make sure that he’s being present
      • Having goals in life, company, entrepreneur – board game metaphor – friends play and being engaged
      • Put away a game – do you remember or care what happened?
    • Started seeing a therapist 7 years prior – coach for dealing and discovering about what you’re going through
      • Cathartic, in his opinion – not alone and can talk to people
      • 15 Commitments of Conscious Leadership, Steve from Reddit
        • Radical responsibility – nobody else will come to save you, nobody to blame
        • Radical curiosity – whenever a new situation comes up, you approach it with what you’re supposed to learn
    • Don’t have to suffer for doing a start-up – not saying “Don’t work hard”
      • Building up skills, expectation for suffering isn’t the case
      • Atomic Habits by James Clear for him following working out each day
    • Zone of Genius – cares and loves to focus on, delegate rest
      • At Atrium, focus on business strategy, selling, culture
      • Build the team for the rest of it
    • Much better at recognizing patterns after investing 100 companies
      • Implementing in company, business models and market dynamics
      • Bad – investor attitude (approached Atrium like this)
    • Atrium – up to 150 employees in SF now – happy and proud for the culture and growth
  • Eric Kinariwala (@ekinariwala), founder / CEO at Capsule (DealMakers 10/15/19)
    referral_image

    • Rebuilding pharmacy from inside out – raised $270mn from TCV, Thrive Capital, Sound Ventures, Virgin Group, M13
    • Wharton undergrad, network from there as financial services, banking and decided to go to west coast – Stanford
      • Started at Bain Capital in Boston after graduating – worked in a hedge fund group investing
        • Retail, healthcare, tech – blending framework around business strategy, what makes it a good business
        • Judging management and the synergies – learning how to invest, as well
      • Making right judgment calls – tight feedback loops
    • For Capsule, had moved back to NY, got a headache – called doctor and had a prescription ordered
      • Pharmacy is $350bn – most frequent interaction in healthcare
      • 2nd largest category of retail – 70k stores
      • Got headache and went to go pick up his meds but couldn’t find it, then they were out of stock and it was awful
    • Hard to get advice from the pharmacy, don’t know the price until they go to pay
    • Everybody touching the pharmacy has a headache, typically
    • 3 pillars of Capsule: modern technology platform, emotionally resonant brand, pharmacy how your mom would treat you
      • Prototypical pharmacist as founder, 2nd was highly experienced technologist, 3rd woman that spent building consumer brands
    • Business model – “10x better” than current existing – technologically enabled pharmacy – app with 5 pieces of information
      • 2 hour delivery windows, know price of medication, doctors know what you’re doing
      • Why are there so many pharmacies? Put money spent on rent back into beautiful design and technology to be seamless
    • Launched in 2016, first customer in May – first challenges in early days
      • Strong word-of-mouth from friends, doctors who had learned about Capsule – telling patients and vice versa
      • Early pharmacist was well-versed in regulatory environment for anything that could’ve been broken
    • He had raised in May ’15 to get started – raised $70 million to start
      • Ideal profile / entire business model needs to be aligned with values: objectives, values, strategy and metric
      • Asking to join and leaders need to have alignment in the same way – even the board – share vision and how / why you operate
    • Team is bigger than 250 full-time, all in NYC now – encouraging people to read ahead of joining, also
      • Checklist Manifesto, On Wings of Eagles, Danny Meyer’s Setting the Table, and Who by Dan [Geoff?] Smartt
    • For the future of Capsule – most important thing in your family’s life as healthcare (although I’d argue bank or something)
      • 5x more pharmacy visits than doctor (sheesh) – wants to make it mobile-first and on the home page of phone
    • Piece of advice for his first day: be more confident earlier
  • Gimlet 1: How to Not Pitch a Billionaire (Startup Podcast 4/5/14)
    gimlet-and-spotify

    • Pitching Chris Sacca – meeting at a hole-in-the-wall sushi place for lunch in LA
      • Deck as a crutch and did it outside the lunch – no slides
      • Most people consume audio in radio and are leaving to digital – audio dashboard, podcasts music all there
      • Wants to start company for the content for moving into the digital future
      • One question he asked: what’s the unfair advantage? Explained how to make money (ads, listeners)
        • Freemium – offer an extra for the listeners who want to pay.
        • He answered: making freemium model work – had to tighten it up
      • Chris Sacca – took 2 minutes and did the pitch
        • People willing to pay for this stuff – Planet Money where they gave $600k to buy tshirt with our logo
          • Integrated directly that we can replicate
        • $1.5mn to buy 3-4 guys for podcasts in next 12 months, can get to 300-400k net subscribers
          • Can get to breakeven on ads alone, CPMs where they are – more integration and episodes will be ultimately scale
          • 12-15 podcasts and we can do it
      • Then countered with the audio is a niche market – nonprofit and audio moving toward shorter content
    • Met him on a Planet Money story when he was going over patent system and how it was slowing innovation
    • Strategy/ideas at Google, writing seed investment check in PhotoBucket – didn’t have it, though
      • Just $50k and wrote 2 credit card checks – enjoyed the feeling so much he left Google
      • First investment was in a colleague, Evan Williams, for Twitter as a full-time angel
        • Wrote the check for $25k – was a lot of cash to him, needed it to work – wanted to help out, evangelist
        • Started buying more shares and doubling – believed in the company
    • Kickstarter, Uber, Instagram, etc… looks hard at the conviction of the success
      • Missed on DropBox (Gdrive was going to crush them), Airbnb (someone will get raped or murdered, can’t work)
    • Told him to come back, tighten the pitch and then do it for Chris’ partner Matt who was from the media world
  • Pankaj Risbood (@risbood), founder at Zendrive
    logo_vertical-drkgry2x

    • Discussing leveraging data and making it a platform instead of an app
      • Dealing with partners to ensure they can improve value
    • Mission Street project – 6 months driver flow before and then after shutting down
      • Reducing poor driving / improve driver safety and it was fairly obvious
    • Can deploy this in the form for insurances, as well
  • Jacqueline Courtney (@jac_courtney), Founder of Nearly Newlywed (Wharton XM)
    47315_0

    • Pitching on Shark Tank to grab attention
    • Starting as seeing option in fashion tech for underserved market
    • Tough for Amazon to compete because of the marketplace factor and users are only in for 1 sale, 1 wedding
      • Taking 40% of the sale but trying to maximize the amount of cost for many
      • Realized photos that were posed / models with dresses didn’t sell as well as real wedding photos
        • Started asking customers for them this way
  • Noah Auerbahn (@noahauerbahn), co-founder and CEO of Robin Healthcare (Lindzanity 10/2/19)
    5d00b6c5f8049e595a67e73d_logo-robin

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

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

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

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

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

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

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

Hope you enjoy the rest of my notes!

  • Thirteen Minutes to the Moon
    268x0w

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

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

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

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

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

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

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

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

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

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

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

  • Samir Kaji, (@samirkaji) MD @ First Republic Bank (20min VC 093)
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    • Leading private bank and wealth management, before at SVB
    • 1999 – “anyone with a pulse could get a job” but he was working selling vacuum cleaners at dept store
      • Was told by family to get a real job – applied to first business SVB, got resume in and interview immediately before starting
      • First couple years were tough – learned a lot, but was 2004 until companies had scaled and were getting bigger
    • First 10 years were tech companies, series A and B and venture debt – post 2009 Lehman / Bear, went to venture group at SVB for 4 years
      • Made the move with a few others from SVB to First Republic, now leading team in micro-VC and early-stage tech co’s
    • Says the micro-VC is more entrepreneurial & collegial compared to extended stage VC’s
      • First fund is that you can get traction for a second or third one, fees as pressure – most likely why many people come from some wealth
        • Writing large checks as GP, as well
      • 2-2.5% management fees initially vs 1 / 25 or 1/30 model
      • 1999 – 2002 distribution was 0.9x and you’d get 10x return (whoops) – very difficult for funds to get 2-3x for LPs
    • Barriers to entry much smaller for $20-25million as compared to $500mln – institutional, etc — he can go to family friends and high net worth
    • Seed over next 5 years: contraction in space (wrong), but said there isn’t enough returns for funds to max it
      • 1100 in the 2000 year and burst
      • Continued prominence of Angelist platforms, maybe an integral part of the ecosystem
      • Starting to see use of data (Mattermark, CBInsights, SignalFire) to more efficiently identify and action at this level
    • Favorite book is Phil Jackson’s – behavioral psychology, Give and Take is another one
    • Really respects the pioneers of the industry and first-time fund-raisers
      • Mike Maples, Michael Deering, Steve Anderson, Jeff Clavier when it wasn’t a thought
    • Habit – reading book or blog post for 20min in the morning before email
      • Disconnect from audio / video devices and reflect for an hour
      • 2 hours a day for family/friends and disconnecting, as well
    • Thomas Redpoint, Mark Suster, Brad Feld, Strictly VC, Ezra at Chicago Ventures
    • Knows awesome fundraisers but terrible at returning capital – didn’t mention any
  • Collectively Driving Change, Laurene Powell Jobs and Ben Horowitz (a16z 5/27/2019)
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    • LPJ – founder, president of Emerson Collective
    • Grew up in NJ – father passed away in a plane accident when she was 3 – 3 children.
      • Mom remarried so there were 6 of them. Wooded area of NJ.
      • Core values and dedication to education to get out of the area.
      • She went to Upenn – first student from her high school that went to Ivy League – ~20% went on to more schools
    • Addressing East Palo Alto school as a volunteer to help – 1st talk, 0 had taken SATs
      • What happens when you’re first to graduate high school? What’s it mean to the information from family?
      • What happens to be first to want to go to college, thrive&complete it?
        • To have the aspiration, can be a leader in the family – translator, get sucked into all problems
      • Started with 25 freshmen – would have to come with friends for responsibility mechanisms – for College Track
        • 3000 high school students, 1000 college, 550 grads
    • Collective of leaders, innovators – education inequities, access and need for enhanced/robust curriculum
    • 10 year time horizons – getting them together is scheduled with Monday all-staff meetings (3×3 matrix of videos)
      • 5 cities, sometimes philanthropic speakers or reports
      • Discussion of reading as you fall behind through third grade before switching to reading to learn – already behind
    • XQ as SuperSchool dream – 17 of 19 will open in August
    • Caring about impact and solving problems, not wealth increasing – wants access to policy or money and not taxes
      • Judged Giving Pledge for not wanting to be more philanthropic
      • Environmental, edtech portfolio, cancer / oncology investments, immigration incubator, new thinking to old problems
    • How do you know when you’re succeeding? Collecting data on everything they do.
      • Example: XQ – schools and districts, state of RI as switching to statewide competition
      • Chicago has good data for fatal/nonfatal deaths (I disagree)
    • Imperiled or important institutions like journalism and media need to be sustained, how many join?
      • Concentrating and following where IQ is migrating (hahaha – what a joke)
  • Data Infrastructure in the Cloud, Rohan Kumar at BUILD conference (Data Skeptic, 5/18/19)
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    • Corp VP of Eng of Azure Data Team at Microsoft – SQL and data services, open source, analytics, etc
    • Trends in data engineering in the cloud, serverless and hyperscale
      • ML and AI and enabling applications – shifting to edge vs cloud – analysts predict 70% will be on edge devices
      • Solutions and private edges – training in the cloud and deploy them on the edge applications
        • Data platform needs to be the right foundation
    • Highlight for him from conference: work they’ve done on relational databases in the cloud – as volumes grow, scalability challenges
      • Hyperscale for Azure and PostgreSQL, as well as MS SQL soon enough – system scales with needs (they’ve tested <= 100TB)
    • Acquired Citus Data, support scaling out the compute layer – strong team, great product, matches in Azure and open-source
    • Releasing serverless option for Azure database – costs designed to stay low and optimized
    • Analytics side: customers wanted to do real-time operational analytics – didn’t want to move them outside of their core product
      • How is data distributed and having compute be co-located with the data to gain Spark efficiency being nearest to node
      • Support Jupyter notebooks across all APIs to modernize to do more predictive analytics
      • Attempting to build out pipelines requires too much scripts, instead have Data Flows in Azure Data Factory – no-code and UI
      • Wrangling data visually and seeing if something can be recognized or learned to repeat across other columns/tables
    • Latency won’t be ideal if compute nodes occur nonlocal to the data changes – can’t do 50,000 nodes all at once
    • Excited for the future: Horizon 1 (next 8-12 months), Horizon 2 (~3 years), Horizon 3 (moonshots)
      • H2: Hardware trends, what do customers want? Pushing boundaries of AI and ML, healthcare, gaming, financial services, retail
  • Wide or Deep? David Epstein, author of Range (Invest like the Best, 5/28/19, ep. 133)
    • First book’s research lead him to get into specialization and finding kernel for next
      • Some countries: turning around national sports teams – why don’t we try other sports? Contrary to 10,000 hour rule.
      • SSAC – debating Gladwell – athletes have a sampling period instead of first gene – delay specialization
        • Used Tiger vs Roger – Roger had tried a ton of sports vs Tiger who was born and was playing golf
    • He was not good at predicting what people/public would attach themselves on to – 10,000 hour rule – race/gender as most talked (but weren’t)
      • 10,000 hour rule were based on 30 violinists in world famous music academy (restriction of range)
      • Height in American population vs points scored in NBA (positive correlation) but if you restrict height to NBA players, negative
    • Finnish cross country skier who has genetic mutation similar to Lance’s boosted
      • Sensitivity to pain and modification to your environment – also sudden cardiac arrest in athletes (what pushed his interests)
      • Book as opposition to Outliers and Talent Code – interpreted a lack of evidence as evidence of absence (genetics matter)
        • First year he read 10 journal articles a day and not writing – they were making conclusions they could not make based on their data
      • Differential responses to training – best talent were missed because we don’t know about training responses
    • Collection and exploration phase – competitive advantage for expansive search function to connect sources or topics
      • Has a statistician on retainer, essentially, to check models or surveys
      • Wanted to know what he was missing – “how come I broke the 800m women’s world record after 2 years of practice? – genetic difference”
        • Racing whippets – 40% had a genetic defect that gave them more muscle and oxygen
    • All of sports as a limited analogy (problem after Sports Gene; now, more tempered)
      • Robin Hogarth addressed “When do people get better with experience?” Don’t know rules, can try to deduce them but can’t know for sure.
      • Kind learning environment: feedback immediate, steps clear, information, goal ahead
      • Wicked learning environment: can’t see all information, don’t wait for others, feedback delayed/inaccurate
    • Study at Air Force on “Impact of Teacher Quality on Cadets”
      • Have to take 3 maths – calc I, II, III (20 kids randomized) – professors best at causing kids to do well (overperforming) systematically undermined their performance thereafter
        • 6th in performance and 7th in student evaluations was dead last in deep learning
        • Narrow curricula were better at the test that they had at the end would be negatively correlated with going forward in performance
      • Teachers that ignored what was on the test taught a broader curriculum (making connections vs procedures)
    • Learning hacks: Testing (wonderful – primed to test ahead of learning), Spacing (deliberate not-practicing, Spanish ex spread 4 hour twice, 8 hours), Mixed practice
      • Ease is bad – known time horizon for when you have forgotten again – interleaving and spacing mixed
    • Passion vs Grit (“Trouble with Too Much Grit” – Angela Duckworth’s research)
      • Duckworth did a study at West Point for East Barracks cadets – candidates score (test + leadership + athletic) was not good prediction of doing this (overall it was good)
        • Grit was a better predictor for making it through East Barracks – she questioned whether it had an independent aspect
        • Variance for grit was probably 1-6%, especially after “flattening” groups – looking at people that had a narrowly defined goal for short periods (cadets or spellers)
      • Cadets were scoring lower on grit at late 20s vs earlier – tried some things, learned others about what they want – grit is poorly constructed
        • Look holistically – if, then signatures (giant rave – introvert, small team – extroverts) right fit looks like grit – developmental trajectory as explosion matching spot
    • Choosing a match for a future them who they don’t know in a world they can’t comprehend – people that find good fits (in practice, not theory)
      • Paul Graham’s “Commencement Speech” that he wrote “Most will tell you to predict what you want in 20 years and march toward it.” (premature optimization)
        • Everything you know is constrained by our previous experiences – limited as a teenager – just expanding and learning as you go forward
    • Gameboy example – with so much specialized information that can be disseminated easier – can take from all types of domains and recombine them
      • System of parallel trenches – can be broader much easier now – hired people for Japanese and German translations
      • Japanese man profiled in his book – technology was changing faster than sun melts ice – didn’t get Tokyo interviews
        • When he got to Kyoto company making playing cards, he was a tinkerer who was maintaining machines – started to mess with them (arms)
        • Turned them into a toy, and it was Nintendo – cartoon-branded noodles (failed), and had toy development
          • Lateral thinking with withered technology – stuff that’s cheap, easily available – takes into other areas
            • Remote control, more features – wanted to democratize this and strips it down – LeftyRX only left-turns
        • Sees calculator from Sharp and Casio and thinks he can do a screen and handheld game – small games
          • Had issues with Newton’s rings so he found other small tech (credit cards embossed) to fix small pieces
      • What it lacked in color, graphics and durability (could dry it out, batteries would be fine, split it up, “app” developers because it was super easy to understand)
      • In areas that next steps were clear, specialists were much better – less clear, generalists were more impactful – depends on the specificity of the problem
        • 3M had a lot of areas for this, “Periodic Table of Technology” – post-it note came from reusable adhesive that had no use for
        • Only Chinese national woman to win Nobel – “Three No’s” (No post-grad, foreign research, membership in academy)
          • Interest in science, history – Chinese medicine for treatments of malaria – world’s most effective treatment from ancient text
  • Greg Isaacs, BEN (Branded Entertainment Network) (Wharton XM, Marketing)
    Print

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

    • Landing hedgehog as the mascot – animal as cute, 99designs and surveying 50 friends – 25 men/women
    • Discussing how VC’s don’t have great advice, especially when general – too hard to be an expert in such a wide range
      • Finds it easier to be very context-driven and providing solutions or action-oriented questions to founders
      • Investing now easier with YC and Angelist, etc…
    • Timing and other mistakes he made – out of control, losing equity part early (but depends on where you are / what you need)
  • Etan Green, professor at Wharton (Wharton Moneyball)
    • Discussion on paper of how sharp money comes in at horse racing tracks
      • Difference between sites – fairground action compared to tracks, and specific to region (New Orleans, Minnesota, for instance)
      • Big sharp money comes in very late, pushing the underdog prices to higher values
        • More expensive to bet while at the track than the APIs enabling higher volume bets
        • Books at the track are incentivized to bring in as much $ as possible, so $0.20 on $1 vs $0.15 rebate on $0.20 for volume
    • Value and differences in how people will bet
  • Edith Dorsen, Women’s VCFund founder, MD (Wharton XM)
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    • Talking about their focus on first fund, approach
    • Opportunity for finding diverse founders, 25% of their fund had a woman founder
    • Starting a second fund
    • Had consumer tech, enterprise and not so much b2b, but trying to increase
      • Hard to say or give advice if one of their partners don’t have expertise in the domain
  • Sophie Lanfear, Silverback Films producer on Netflix “Our Planet” (Wharton XM)
    • Species that are dying, going extinct
    • What we can do about it
  • Aliza Sherman, Ellementa co-founder, CEO (Wharton XM)
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    • Discussion of client talks when she made them aware of her cannabis endeavors
    • How friendly the community is
      • Then knocked the idea that ~30% was female to start before diving off a cliff
    • CBD to mask opioids – does it really do anything from a pain/treatment perspective, though?
      • Anti-chemo because of CBD – really?
    • Sounded too rehearsed – made it sound fake, not genuine
      • Passion/motivation/mission and kept repeating as the best advice she could give – painful

Matching Environment to People (Notes from May 27 – June 2, 2019) June 20, 2019

Posted by Anthony in Automation, Blockchain, Digital, experience, finance, Founders, global, Hiring, Leadership, questions, social, Strategy, Uncategorized, WomenInWork.
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In this particularly busy week, I found the theme of the week to be particularly amusing, but coincidentally or not, the dominoes fell that way. Normally, a theme arises like that because everyone is in finance or the same segment or conference is aligning. I just happened to catch a week where the insight that I drew from each person reflected similarly.

Meredith Golden, a dating consultant of sorts, discussed how she assesses all levels of dating profiles for her clients. She goes through a process that she’s dialed in to obtain her optimum level of clients as well as the right approaches to proceed. Asking herself what she wanted was key in determining how she’s grown her business, especially as an entrepreneur and CEO.

Chief Instigator Matt Charney. Now that’s a fun title. And I won’t ruin it. He goes through his past with Disney and Warner Bros and why/how he moved into the HR tech doing marketing – what he saw and how it’s different now. Fascinating and fun segment.

Part of the fun of being an entrepreneur is deciding who you want to do business with. But when it’s difficult, especially at the start, you’re most excited to get ANYONE to work with (unless you luck into that massive customer to start – rare rare rare). This is Kyle Jones of iCRYO found out. Then he gained traction, quickly, and realized he needed to be a bit more diligent in who he wanted to work with – what was ideal for the business, as well as the brand moving forward.

David Epstein likes throwing wrenches, I imagine. He authored the book Range, testing the generalist vs specialist question. As a generalist masquerading currently as a specialist, I appreciated what he was talking about the strength of generalists. But I do understand the place that specialists have in our society, especially deep tech, research and other exceptional areas.

Deb DeHaas grew up under the tutelage of her mother who fought the idea of being an accountant growing up to learn and adapt to the idea of being told what she could/couldn’t do wasn’t ACTUALLY an assessment of her ability to do those things. Such a simple, fascinating concept. She could totally be an accountant, engineer, as she pleased. Took a lot of perseverance but she had a manager at Andersen (before folding) who was a woman and told her to always chase what she wanted – now she’s leading the Inclusion and Diversity team with Deloitte’s Corp Governance Arm. Quite the story of growing up and what she learned.

Not to be outdone, Kim Wilford, who acted as General Counsel for GoFundMe, discussed how she came into her role in charge of the nonprofit arm, and what they’ve done in growing the company and its donations. How to connect marketing, wearing multiple hats and helping people help others. Inspirational while metric-driven, not just dream-built.

I hope you enjoy the notes – a few I didn’t write extra here but had fascinating insights into Happiness Hacking, investing in founders and how they grew companies such as Vroom and GoodEggs. Let me know what you think!

  • Meredith Golden (@mergoldenSMS), CEO of Spoon Meets Spoon (Wharton XM)
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    • Talking about having 6-7 clients
    • Ghostwriting messages
    • Client work depends – assessing / diagnosing the problem
      • Not matching (pictures), profile, messaging, getting them to meet, etc…
    • Metrics based on what the initial diagnosis was
  • Matt Charney, Executive Editor – Chief instigator at RecruitingDaily (Wharton XM)
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    • Talking about workplace and conspiracies

 

 

  • Kyle Jones, iCRYO Franchises (Wharton XM)
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    • Franchising initially – would’ve been a bit pickier when starting but too excited to land first deals
    • Out of 100 franchises, they’ll go with ~5 or so
    • 10 franchises, working on doing a big deal to launch 100+

 

  • David Epstein (@davidepstein), author of Range (Wharton XM)
    43260847

    • Discussed how Nobel laureates and creative types are often generalists that spend a lot of time learning / making
      • Stumble on new ideas or concepts in their work
    • Generalists aren’t bad – allow to see a different perspective and combine ideas
      • Think “The Quants” – relationship between corn prices compared to research on _

 

 

 

  • Deb DeHaas (@deborahdehaas), Chief Inclusion Officer, C4Corp Gov Deloitte (Women at Work)
    gx-global-center-for-corporate-governance-new-promo

    • Discussed her mother, who had passed away at the age of 90 recently, who was told she couldn’t be an accountant
      • Wasn’t her role – she pursued it anyhow and ended up being an engineer before quitting and being a community leader
    • Worked in Gulf Oil’s accounting dept and helped her husband through med school
      • First councilwoman in her town, elder at the church
    • Deb started at Andersen until it folded, worked for only one woman but she was taught there were no barriers
  • Bentley Hall (@bhallca), CEO of Good Eggs (Wharton xm)
  • Mitch Berg, CTO of Vroom (Wharton XM)
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  • Alex Salkever (@alexsalkever), Vivek Wadhwa, authors “Your Happiness… Hacked” (Wharton XM)
    • With Stew Friedman, finding the middle ground of tech with children / teenagers and the happy medium
    • How is it that we find some things appealing but others are a burden
    • Facebook being a publishing agency – aren’t they responsible for what the product? “Newsfeed” example.
    • Google Maps or Waze as a hindrance at the local level – dangerous, maybe?
      • Extremely valuable, still, in new places / out of the country, especially
        • Different, maybe, for walking if alternative is talking and communicating with others
    • Problem with Facebook / Whatsapp – Whatsapp unmoderated group chats and only requiring a phone number
      • Encrypted, but what cost? Facebook – for Vivek, just limits to 1-way action
    • Social media as killing people – think India’s problems
  • Ed Sim (@edsim), FP @ Boldstart Ventures (20min VC 092)
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    • LivePerson, GoToMeeting are 2 of his biggest investments as lead, exited / public
    • Started a fund in 1998, DonTreader Ventures – left in 2010
      • Idea was to bring SV style to NY – VCs would look at financials / models, but they looked at people and product – focus on markets
      • Most investors were corporate but cratered after 2008
    • Started a new seed fund for sticking with what he knew as well as recognizing a shift in 2007 for open source and cloud – consumer-based
    • SaaSify vertical markets with GoToMeeting founders who wanted to do new things – $1mln, $1.5mln
      • Enterprise people were looking to get a market for small ~$1mln investments
    • Hated starting a fund – “Fundraising sucks.” – Could find a great enterprise and tech entrepreneurs at seed stage – got $1mln and made 10 inv
      • First 5-6 investments were less than $5million pre-$, sold 4 by 2012 – had option values for series A or being sold to strategic companies
        • Entrepreneurs wanted to sell in those cases, but with cloud, definitely found that it was reasonable and cheaper to do SaaS
    • First / second generation founders or single vs others – “No single founders”
      • As the first institutional round, they’re first big money in. Last few investments were second or more founders – little bigger rounds
      • If first-gen founders, funding rounds are smaller – deep expertise in their field (and have to be engineers building product)
    • “Enterprise can be fucking hard” – have to know the industry – he has 20 years, partner has 10 and new partner as building 5 companies
      • Why he went this route? Started at JP Morgan as building quant trading models as liaison Business QA between engineers and portfolio managers
        • Derivatives models to real-time pricing models – feeds from Reuters or others, risk metrics and crank out the other side
      • Enterprise was exciting to him
    • Could take enterprise founders and redo or build a new company by changing the pain point – customers can be repeat because new pain point
      • Harder to do that in consumer
    • Leads come from founders – roughly 75% as recommendations from portfolio companies (wants to be first thought or call)
      • Helps founders get their pick and decide where to go – if you have an analyst report, may not be a great market opportunity initially
    • Environment of seed funding: Jeff Clovier of SoftTech as one of few microVC’s and now it’s 400+
      • Just want to be hyper-focused and being nimble – main value add as understanding the cadence (2 founders coding together to selling)
      • Stratification of VC – best ones have gotten so large that they can’t write small checks efficiently
        • Entrepreneurs don’t want $5-10mil immediately out of the gate – mismatch, looking for less for less dilution
      • Deal flow of crowdfunding: says sometimes they will leave $250k after leading for AngelList or building new relationships
    • Jason Calcanis blog Launch Ticker, trend as rise of the developer (multiple people in company using same thing – buying licensing)
      • Messaging as another interesting trend in the enterprise space – his most used app – Slack (SlackLine – private, external channels)
    • Most recent investment – stealth investment in a repeat founder (founded and sold before) – security focused on developer
  • Kim Wilford, General Counsel at GoFundMe (Wharton XM)
    go_fund_me_logo_courtesy_web_t670

    • Talking about joining, hadn’t considered nonprofit space
      • For profit arm and the nonprofit
    • Mentioning pushing marketing and following metrics for raising vs donations
    • Can influence news stations and push for higher engagement
    • Done almost $5bn in funding across 50 million donations

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

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

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

 

  • Ashish Walia (@AshishW203), co-founder and COO at LawTrades (20min VC FF 019)
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    • Portfolio company of 500 Startups
    • Undergrad in Queens, then law school – read through entrepreneurship opportunities, spoke to lawyers – knew he didn’t want to be full time
    • Decentralize major corporate law firms – before you’d have to go to bottom barrel legal service or stuck paying $600 an hour for routine stuff
      • Middle boutique firms could save money and they were looking for work
    • Joining law firm is like everyone wanting to get in and everyone in wants out – if he knew this already, why not do a different thing
      • He wanted to figure things out for himself and work his tail off for what he wanted to do
      • Idea for LawTrades came up in his 2nd year of law school – businesses and lawyers-directory service, terrible traction initially
      • Using all of the resources – blogs, podcasts, videos, etc… diving in
    • Gary Vaynerchuk as sales and customer experience, as he wasn’t a tech/coder
      • This Week in Startups, Jason Calicanis as well
    • Law school as encouragement for a corporate firm, not to apprentice and then start your own thing
      • More legal technology and open, incubators popping up but not traditional
    • Attorneys with big law experience that want more control over their work-life balance are their target for LawTrades
    • Had started a podcast to drive traffic to LawTrades – had a guest on as founder of Pigeon and he thought they should apply to 500
      • Applied a few days before deadline, had Brian Wang interview while in NYC the day after, then a skype with Elizabeth Yang
        • For LawTrades, they cared about 2-3 recs after learning about the business
      • 4 days after, got in and moved from NY to CA
      • Really wanted 500 Startups because they wanted to drive distribution (vs YC as product-focused)
    • Raised small seed round with the vision, no customers that were just angel investors
    • Enjoyed BrainTree founder Brian Johnson as a nontechnical founder to make it large
      • Altucher, Thiel’s Zero to One, Quora, Medium
  • Dave Sonntag, Gonzaga Associate VP / CMO (Launch Pad, Wharton XM)
    • Discussing university brand, marketing
      • Smaller school of 6000 comparatively, but large brand name
    • Funny to me that he said that the basketball brand was priceless – invaluable
      • Primarily over last 20 years
    • Only the 2nd CMO in the history of the school
    • Started as marketer at Eastern Washington before seeing opening at GU (alma mater)
      • Trying to line up brand exposure to campaigns – bracket + donation set up for the week of tourney start
      • Last year, drove about 1/4 of the site traffic – had to prioritize the home page and stories to make them compelling
      • This year, accentuating professors and their stories (named #1 university professors by US News)
  • Chris Riccobono, UnTUCKit founder (Wharton XM)
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    • Had failed at multiple companies before thinking of returning to finance but landing on doing this co
    • Building a brand around shirts that aren’t to be tucked in – seasonality isn’t necessary
      • Built to have that offering as compared to types of shirts (Tommy Bahama – floral, Armani – club, etc…)
      • 50 stores now and the plan is to have them distribute clothing to better control distribution/supply
    • Increasing market in areas that they put a store – both online and in store
      • Tracking customer data as they go back & forth between online and in-store
      • Control experience of touch and customization to drive conversions
    • Doing once a month “fast fashion” with 4-6 designs that are only available for 48 hours or limited time for attention and marketing – demand driver
  • Linda Crawford (@lcrawfordsfo), CEO at HelpShift (LaunchPad, WhartonXM)
    00-helpshift-4-7

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

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

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

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

Data + Opportunities for Masses (Notes March 4 – March 10, 2019) March 28, 2019

Posted by Anthony in education, experience, finance, Founders, Hiring, medicine, NFL, questions, training, Uncategorized.
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This week was all about different types of people chasing and building what they wanted to build. What drives people – what are they drawn to? Passion, energy and asking the questions to further the quenching of thirst for the next step. Reading the notes I had for this had me down a rabbit hole for each one – thus the delay.

Interestingly enough, these founders, presidents, authors and data scientists / explorers are in different industries. We had digital tech and marketing, strategy, data science as it applied to healthcare, NFLPA / financial literacy, and education of cs and tech stacks through ISA’s.

Believe that you can learn from others to further what you do to progress forward.

Steve Mast, President and CIO at Delvinia (Measured Thoughts, Wharton XM)
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    • Using Methodify for geolocation data / surveys
    • Digital tech to help marketers, researchers and leaders collect, visualize and enable data
    • Educated as an architect, then video game designer and producer in the 1990s
    • Joined Delvinia in 2000 to build interactive design and digital marketing
      • Talked about doing events where they get volunteers to sign up for brand / marketing analysis
      • Ask 2-3 questions that are pointed, geo-enabled for brand / important points at the event
      • Makes sure not to have personal identifiers
  • Joseph Jaffe (@jaffejuice), author Built to Suck (Wharton XM)
    • Admiral, co-founder at HMS Beagle, strategy consulting for surviving
    • Talked about how Harley Davidson is in every marketing book but what are they doing now? Floundering
    • Nike ads – never talked about the product (shoes), but call to action – Just Do It
      • Nike as providing the tools for which you act
      • Used their stores as ex of environments for their product – having treadmills
        • Each employee was a runner, wearing Nike and touting the products, experts
    • Remembers asking his class if they knew the first bank to implement ATMs
      • Didn’t provide the answer – jumped into 4 P’s – one student asked what the answer was
        • Answer was that it didn’t matter because every single bank mentioned had ATMs
      • Only thing that mattered – first-mover’s “advantage” if you can keep it
      • “What are you doing now?”
  • Chris Albon (@chrisalbon), Getting First Data Science Job (DataFramed #55)
    2672ecf4-b76e-478c-9407-fc48877479bf-1515514797324

    • Data Scientist at Devoted Health, helping to fix healthcare system
    • Co-host of podcast Partially Derivative, since stopped, and had a kid / moved
    • Humanitarian non-profits, working on team for building companies with a soul
      • Devoted – health insurance company started by Todd (CTO of US) & Ed Park (CEO of health company)
        • Creating company that you’d want family members be a part of
        • Make healthcare that works (primarily senior citizens, Medicare)
    • His background is from quantitative political science – politics and civil wars
      • Perspective of research, experimental, statistics – PhD with these fellows
      • Meeting friends with a ton of amazing, applied projects (LinkedIn, etc…)
      • He needed to be applied vs research in order to get out of academia – joint Kenyan nonprofits (election monitoring and disaster relief)
      • Real data or fake reports, safety, ethic and morals come up – threat models aren’t the same
    • First hire at Brick (free wifi to Kenyan homeless, etc…)
      • Using established tools to provide others data / analysis – for a team to not know that going in, it was impressive (wizardry)
    • As a team, you can hire and absorb senior data scientists
      • People who got first time jobs at Facebook or something, got to see scale and experience that they can move on easily
      • At a Facebook/Google, end up doing heavy data analyses for the massive scale and is a big role
        • Hard, analytical challenges
      • Smaller companies may ask someone to do a ‘full stack’ / general data scientist that has to build everything on their own
    • Early on in hiring process – ex with Master’s in ML, and that’s what you want to do
      • Generalist builders at Devoted, but not strictly ML or other thing
      • Heavy AI or ML would be theory-based, dissertation level technical discussion (obvious focus)
    • Doing data science generally – many other problems – Bayesian analysis, RF, etc…
      • Far more jobs for those that are generalists at companies for business data – predicting drones watering crops, customers churn, illnesses
    • With different backgrounds, should figure out how to feature yourself & experience
      • Side projects, blog posts, portfolio, visualizations in a way that’s easy – testing, GitHub, versioning
    • Talked about his first meeting at Devoted Health – 4 data scientists in the room with a doctor, discussing the coding of health / diagnosis
      • Said he was fascinated in the meeting as he wanted to know that side, new business
    • He genuinely enjoys new techniques, analysis that he doesn’t know and learning about it – passionate about what they are and learning
      • Not hiring for junior – it’s because you will want to grow into senior
    • RF > SVM since it works out of the box, but said SVM is an awesome mathematical tool
      • Used it as a teaching point and visual – but in production, he’d never seen it
  • Eric Winston (@ericwinston), President of NFLPA (Wharton XM, Leadership in Action)
    • Talked about how important relationships and the soft skills were
    • Financial literacy as a passion of his – talked about how little players know going in, especially after college
      • College finance doesn’t teach it, either
  • Austen Allred, Founder/CEO at Lambda School (20min VC 3/8/19, FF)
    untitled

    • Bedrock, GGV, GV, Stripe and Ashton Kutcher as investors – $48M so far
    • Prior, Senior Manager for Growth at LendUp and co-founded Grasswire
      • Income inequality, financial health thoughts – nothing was moving incomes
      • Was in a small town in middle of nowhere, Utah
    • Had to live in his car in SV for a while and figured out how to schedule – during summer, would get hurt obviously
    • Raised $500k initially, couple months of cash left, due diligence – investor decided to not continuing Dec 23 (daughter was born soon after)
      • Never wanted to be in that position again – thought it would’ve been VC but it was more about a successful business
      • At YC, wasn’t focused on demo day – modeled 2 scenarios: 1 with VC money vs otherwise going wrong and seeing no VC money didn’t work
    • About the right time to raise: $1 today would be $3 or $4 later, still had much of their series A – getting dozens of VC emails and say no
      • No goal to raise B at that point, walked through the numbers with Jeff (one of investors) over dinner
      • So Good They Can’t Ignore You (Steve Martin quote, but Cal Newport book)
    • Looking at product-market fit – people would pay whatever to get to the job / signal
      • Incentives aligning, job and person – $1000 to start and pay after getting a job: Got into YC and thought no upfront deposit, etc…
      • List of 7k people, trying to refine and make sustainable
    • Training people online was tough, free upfront / no SITG – no Bay Area / NY, online engineering students
    • Iterating on all facets of business so quickly: had to do it, quickly and concurrently
      • Each 5 weeks do a project, roll people together and do an app – if they can’t, roll it back
      • “Insane” – but more people just can’t fathom DOING, the ACTION
      • Before running the experiment, they determined the metrics for success and failure (if it doesn’t happen, fail)
      • Career coaches / meetups / staff bonuses for people trying to get people hired – success of those 8 trials
    • Wright Brothers biography book and Les Miserables (humanity)
    • Changing SV – fundamental human problems, he wants them to build more, try more
    • 500k students in the year for 5 years goal

Builders for the Future (Notes from Dec. 24 – 30) January 16, 2019

Posted by Anthony in experience, finance, Founders, global, Hiring, questions, social, Uncategorized, WomenInWork.
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Hello all! It’s good to write again this week! And this one sent us back to the week of Christmas. Appropriate for this edition because I spent mine with my mom. She’s one of the strongest women that I know – the stars of their respective companies/start-ups/brands. They’re asking questions that affect all of us, whether it’s when we literally stay a Marriott Hotel, question our job choices going forward, try to learn a new skill, or even debating on jumping into a start-up with an idea.

I know I took quite a bit of the segments to heart and reflected on them. They covered a wide range of topics but ultimately, how do we move forward in whatever we’re doing.

  • Nicola Corzine (@ncTheCenter), Exec Director at NASDAQ Entrepreneurial Center (Bay Area Ventures, Wharton XM)
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    • Enabled 7500 entrepreneurs in 65+ countries
    • 49% female and 65% minority as a big driver for her
    • KPIs as solving the business problems that are presented
  • Stephanie Linnartz, Chief Commercial Officer at Marriott International (Wharton XM)
    • Discussed how they had positioned to make sure certain hotels stand by their values
    • After buying Ritz Carlton, keeping it as Ritz Carlton brand
    • Host / rent-type brand and partnership to ensure that they can offer amenities in line with brand
    • Structure of Marriott being franchised, primarily
  • Ellen Ruppel Shell (@EllenRuppelShel), author of The Job (In the Workplace, Wharton XM)
    • What’s it mean to be satisfied at work? Depends on the person.
    • How gig economy changed mindsets – if it did? Many people want consistent paycheck
      • Control isn’t super valuable if they don’t know when the next paycheck is coming
    • Disagreements of people seeking ‘satisfaction’ or ‘meaningful’ employment – falsehood that has been pushed onto workers
  • Alice Bentink (@Alicebentinck), co-founder of Entrepreneurs First (20min VC FF 014)
    207674-8f5f1ef809f09323093e368f6a2bad92-medium_jpg

    • Founded Girls Code
    • Was originally at McKinsey when she started – best way to think about next steps when they were graduating from university
    • Ingredients for EF: exceptional technical talent, co-founders that matter
      • Idea is important but not perfect idea (doesn’t exist)
        • Idea that resonates with you to attack and start to build
      • Non-technical people need to bring domain expertise (used a translation expert with contacts/work in the space)
        • People with years of expertise don’t want to work in their domain – EF is pained by this
      • Selection based on the talent over ideas (changing them 2-3 times)
    • What makes a great founder?
      • Thousands of applications – built companies or startups or products
        • How to keep an open mindset and willingness to learn
    • First time founders worry too much about the startup than the product being built
      • Don’t worry about accounting, incorporation, logo
      • Do built a test product, get feedback, iterate quickly
    • Friends and family rounds can be dangerous if there isn’t an understanding of the risk or time horizon (say, pensions or house deposit)
    • Scaling from 15 companies a year to 40 companies
  • Kirsty Nathoo, CFO of Y Combinator (20min VC 075)
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    • Went from PWC in Cambridge, UK to YC and do-everything at a start-up accelerator
      • Got involved with YC through her husband, funded in 2008
      • Had a 3 week window to close up Cambridge and get to SV – was doing a ton of responsibilities
        • Control of all bank accounts, access to everything and it made her more trustworthy
    • First batch she was involved with was Winter 2010 and had 26 companies
    • 10 minute interviews questions – how big does it get? How does it adjust with getting customers what they want?
      • Have the founders thought about enough to make each other learn something new?
    • Obvious business expenses vs controllable business expenses – spending investor money and when to vary / change these
      • Founders can break up and it often isn’t ideal – YC makes sure to pay founders and payroll
    • Founders should be able to report a lot
      • How much $ in bank? Runway? Growth rate? Burn rate?
    • Most impressive interviews are ones that founders can articulate answers to questions because they’re so matched with their mission

Changing What We Expect From Medicine (notes from Nov 5 to 11) November 22, 2018

Posted by Anthony in experience, finance, global, medicine, questions, Uncategorized.
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I have mentioned Singularity University a number of times over the last month or so, in addition to suggesting books that have come out of it. I had the pleasure of listening to a number of the conference talks from the Exponential Medical Conference that was held in Coronado, CA over the first week of November. You can find many of the talks available at that site above, also. This was the theme of the week, along with a few listens to a16z on cryptocurrency and 20min VC on seed investing. Hope you enjoy!

  • Moira Gunn, Professor at UCSF (ExMed Live Conference)
    • Tech Nation Health on NPR radio podcast, International Bio Conference
    • Makes a good point of competing for attention, not ears anymore – everyone is everywhere
    • Top biotech/biopharma trends: protein degradation
      • Biopharma as part of Big Pharma
  • Rachel Thomas of Fast.ai (xMed Live Conference)
    • 5 myths of AI
      • Needing “Big Data”; Deep learning only works for very limited problems;
  • 3 Common Myths About Crypto with Katie Haun (a16z, former fed prosecutor) and Paul Krugman
    • Crypto is anonymous (only criminals)
      • Dark net markets in 2012 were 30%+ of value of Bitcoin transactions, now down to only 1%
      • Pseudonymous – government can easily trace crypto, as well as some individuals
      • Financial institutions spending $20bn to fight and stay AML compliant – 99.9% launderers succeed anyhow
    • Besides speculation, no use
      • Speculation as loaded term – wheat farmers, ex
      • Venezuela 10% of localbitcoins transactions there
      • 2bn unbanked people, 86% in Middle East – bitcoin was an option (one of Time’s Top 100 who employed women s/w eng)
      • Cryptocurrency allowing transfers that would often lose out 7.5% (avg) or up to 30% in fees to Western Union or other agents
      • Stores of value – digital as photos, songs, music, etc..
        • Gold vault compared to bitcoin
    • Crypto is just about currency
      • Stores of value, intermediary removal (or transfer), dapps (tokenization and scale)
  • Salim Ismail (xMed conf)
    • Disruption of institutions (marriage, religion, education, taxis, etc…)
      • Marriage updating of institution
      • Pope trying to update religion – where you’re selling the afterlife
      • Education and cramming topics into students heads
      • Higher education where you try to study tech that, when done with program, is outdated
    • Music, car, energy industries that will go from physical to informational service
      • Cut middle men as you go end-to-end – deflationary effects are massive (used music as example from peak to trough)
      • Humans are poor in recognizing linear vs exponential paces
    • Drones, lidar, 3d printing (35+ years)
      • Price per performance dropping quickly
    • “Any company designed for 20th century success is doomed to failure in the 21st century” – Ghoas
    • MTP and mentioned GitHub / Microsoft purchase of $7.4 bn for company with no assets, workforce or ip
    • Advice to large companies
      • Transform leadership (mindset, education)
      • Inspire ExOs at edges (change makers at edges and next to market) – Apple’s true innovation is organizational
        • Nestle has research on creating diets based on DNA, Corona into marijuana, IKEA into vertical farms
        • “Exponential Transformation” as opensource, FastTrackInstitute – try to solve problems for 1/10 cost (project: corruption in Medellin)
      • “We can’t fix that, it’s too big” – regulatory issues (think, people leaving to do stem cell research elsewhere, or ultrasound opioid addiction)
        • Retrofitting to the legacy challenge – set up a clinic outside of the hospital or other corporation and spin it off (Nestle and Nespresso)
  • Nicolas Chirls, Founder and Partner of Notation Capital, Pre-seed Investing (20min VC 071)
    • Pre-seed investing in pre-growth startups
    • Fascinated with the company – find a way to join the company regardless of the role (For him, that was BetaWorks)
      • Seed investing business start – knew very little, but others had already left so he got in to learn to the basics
    • His mentors – Andy Weissman, Collaborative Funds
    • Notation Thesis (had started a year prior): NY can produce $1bn exits (Etsy, Mongo, Tumblr, etc…)
      • NY has a critical mass of talent, engineering and designers
      • $150k checks into pre-seed rounds ($500k or less – don’t need millions to show traction and a big team for early product-market fit)
    • Running fund for 6 months and made 8 investments – thinks he can work with top founders disciplined with money raised early
      • He counters that repeat founders are best founders (they often choose to raise more – compared to first timers who don’t)
    • Has interactions with founders (likes in person) about capital raising and product architecture
    • Not a fan of demo days – prefers meeting and getting to know founders
    • Has a fund of $8mln – initial checks range from high single digit ownership % and follow ups
      • LP universe is hard to navigate as opacity increased
    • Blog – Wait, But Why (profiling various topics/authors)
  • Jay Parkinson? (xMed before Laura Jana)
    • Eugene Debs (president candidate garnered 5% of vote, from prison) talked about people that ended up being wrong in new ideas were the majority
    • Healthcare moves very slowly – 20-30 years – but advantage is that there’s a framework / playbook for improving this by other industries
  • Andrew Pelling, U of Ottawa (xMed)
    • Just stretch (mechanical force) as cells start to destroy other cells, physical (dye) difference meant they changed or separated
    • Little Shop of Horrors – Ideal biomaterial
      • Sustainable/ethical source, minimal foreign body response
      • Example of apple-ears (and other type), “designers for ears or other body parts”
      • Regenerative medicine
    • Plant cellulose as being overlooked (flesh, bone, spinal tissue/nerves)
  • David Karow, Health Longevity CEO (xMed)
    • Discussion of various diseases rid from stem cell
  • Osman Kibar, Samumed CEO
  • Bob Hariri, Celularity
  • Group of 3 above – 23&Me, Ancestry – 1000 medically significant variants (but they only look at 3)
    • Layperson algorithms that integrate quantitative data with the actionable