Doug van Spronsen

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Doug van Spronsen

Doug van Spronsen

@dougvs

Move deliberately and fix things. Bayesian. 🇨🇦

Katılım Nisan 2008
1.9K Takip Edilen1.3K Takipçiler
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Garry Tan
Garry Tan@garrytan·
For agentic systems founders and dev tools founders: People do not want to pay for raw markdown and they shouldn't have to. But they may pay for orchestration, hosting, updates, collaboration, portability, analytics, and managed execution. These can be great businesses.
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Greg Brockman
Greg Brockman@gdb·
feels like such a wasted opportunity every moment your agents aren't running
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Kai Wu
Kai Wu@ckaiwu·
👷Surviving the AI Capex Boom👷 Big Tech's AI buildout is transforming markets but history suggests caution. What should investors do? 🤖 AI Investment Boom 🚂 Echoes of Past Booms 📉 Rising Capex Firms Underperform 🏭 Magnificent 7: The New Utility? 🔎 Finding AI Early Adopters 🌊 Value Investing: Navigating Hype Cycles
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liemandt
liemandt@jliemandt·
I'm so excited that @mbateman is building a Montessori-based Alpha Timeback school. Working with the world's best educators to reimagine how kids should spend their first dozen years is the best part of this job.
Matt Bateman@mbateman

Montessorium: students use the best of hands on materials and the best app-based learning. They start their day with classroom chores, then sit and schedule their own work in composition books, a schedule which includes lessons, hands-on work, and apps. You can have it all

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Will Ahmed
Will Ahmed@willahmed·
LAUNCHING TODAY: WHOOP ADVANCED LABS Many people only get bloodwork once a year. You receive a sheet of numbers, maybe a “you’re normal,” and that’s it. No context. No coaching. No understanding of how to move from acceptable to truly optimal. With WHOOP Advanced Labs, we’re changing that. Starting today, members can unlock two powerful ways to bring their blood biomarkers into the WHOOP experience: 1) Upload past bloodwork. Centralize your results from any lab, connect them with your 24/7 WHOOP data, and track long-term trends over time. This is included in all membership tiers for all WHOOP members and it will meaningfully improve the insights you get from all your data. 2) Book comprehensive testing. Through WHOOP, our U.S. members can now schedule curated blood panels that test 65 of the most impactful biomarkers, reviewed by a licensed clinician and seamlessly integrated into your app From there, WHOOP goes beyond a static PDF: -Context, not just numbers: With WHOOP, your bloodwork is no longer isolated. It’s integrated directly alongside your daily behaviors like sleep, recovery, training, and lifestyle choices. -From acceptable to optimal: Every result comes with clinician-reviewed insights that explain where you stand today and how you can actively improve each metric over time. When you fall out of range on a metric, we will coach you to not just get back in range but actually reach an optimal level for your gender and age. -AI-powered coaching: Our platform continuously analyzes your data and delivers personalized guidance, turning snapshots of lab results into a living feedback loop that makes your health dynamic rather than episodic. We’ve made significant investments in our A.I. infrastructure in the last six months, and you’ll see the benefits as your data comes together. Tell WHOOP what supplements you take, upload your blood tests, and await as the feedback gets much more useful. WHOOP Advanced Labs is more than a new feature. It’s a building block of a new Health Operating System that we’re building at WHOOP: a future where your body is continuously monitored across hundreds of dimensions, where feedback loops between biology and behavior are surfaced in real time, and where AI helps you take proactive steps to live longer, healthier lives. Already, more than 350,000 members joined the waitlist for WHOOP Advanced Labs. Today, the first members are gaining access in the U.S., with a global rollout to follow. Enjoy!
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Doug van Spronsen
Doug van Spronsen@dougvs·
Substack’s feed product has evolved into old Twitter in a positive way that I didn’t expect. Worth revisiting if you wrote it off
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Doug van Spronsen
Doug van Spronsen@dougvs·
It also allows the fintechs to build the profitable parts first before taking on the regulatory burden/cost of being the primary deposit taking institution (there is much less money in this) Banks work the other way, trying to increase share of wallet by selling wealth, credit etc
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Evan McCann
Evan McCann@evansammccann·
Interesting how trading platforms like Robinhood and Wealthsimple are expanding into banking. Feels like one of the smartest ways to build a neobank: start with trading, where users feel like they can earn money, then layer on banking. A very different relationship than traditional banks or neobanks, which mostly take your money.
Evan@StockMKTNewz

Robinhood $HOOD CEO Vlad Tenev just said on CNBC: "Banking is coming soon" ... "we think we're close to being able to help you with your entire financial life"

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Doug van Spronsen
Doug van Spronsen@dougvs·
This is on the nose. At the same time its also indicative of the current opportunity set available and people (rightfully) taking advantage of it. But it cant be culturally set as the "only" viable path because outcomes are never evenly distributed.
Will Manidis@WillManidis

“casino culture” sports betting, shitcoins, meme stocks, vibe coding 100m in six hours, etc are all expressions of the same deep cultural rot. if youth don’t believe there’s legitimate ways to get rich through work, all of culture will become a rotten sports book for the soul

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Gergely Orosz
Gergely Orosz@GergelyOrosz·
How is it that Atlassian builds tools that: - SO MANY people use - SO MANY people dislike (JIRA, Confluence. Previously also HipChat) They are defying the conventional wisdom for business success that starts with "build something people will love"
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Doug van Spronsen
Doug van Spronsen@dougvs·
“Please consider the environment before pasting this into GPT”
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Patrick OShaughnessy
Patrick OShaughnessy@patrick_oshag·
Patrick OShaughnessy tweet media
Patrick OShaughnessy@patrick_oshag

Caryn Seidman-Becker (@CLEARcaryn)… • Built a successful hedge fund and was inspired by investing in Amazon, Apple, and Priceline • then bought CLEAR for $6M out of bankruptcy and rebuilt it from scratch • Envisioned CLEAR not just as a travel tool, but a universal identity platform • Rebuilt software, tracked down old hardware, and relaunched in Orlando with no salary for 5 years • Bootstrapped to profitability • Once told a skeptical VC: "Because I'm a complete f*cking animal" when asked why she could be CEO • Pioneered face-first biometric tech (NV) — 5x faster than previous methods • Expanded CLEAR beyond airports into sports stadiums, healthcare, and digital identity • Left finance because she didn’t want her tombstone to say she just picked good stocks. I loved this conversation — including some very honest and raw elements about loss. And I too think Caryn is a complete f*cking animal, and the best kind. Timestamps 0:00 Intro 0:54 The Vision for Clear 2:58 Lessons from Wall Street 4:38 The Journey of Clear 7:53 The Acquisition Story 10:11 The Power of Biometrics 13:55 Launching Clear 2.0 18:30 Challenges and Innovations 21:41 Public-Private Partnerships 25:44 The Future of Travel 37:03 Action vs. Thinking 41:10 Business Model and Financing 47:03 Public-Private Partnerships & Airport Innovations 52:05 The Importance of Free Cash Flow 55:20 Biometrics and Privacy Concerns 1:00:45 Expanding Business Horizons 1:05:46 Personal Challenges and Leadership 1:09:52 Genetic Screening and Health Advocacy 1:15:43 Leadership Qualities and Company Building 1:27:00 Future Innovations and Opportunities 1:30:58 The Kindest Thing

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Doug van Spronsen
Doug van Spronsen@dougvs·
@Suhail Does an "always on" wearable from a frontier model co compliment or compete with AI-first browser? Different contextual memory, but likely more personal than what the browser connects?
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Suhail
Suhail@Suhail·
Whoever owns the AI first browser will win AI memory long-term. The browser is the closest approximation of humanity's memory that we have.
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J.B.
J.B.@VibeMarketer_·
if you do cold email and are still writing emails manually in 2025, you're so behind. lets fix that... this n8n workflow writes and sends 10,000+ fully personalized cold emails for you: - scrapes ideal leads with apollo - uses GPT to analyze their site and LinkedIn - writes tailored outreach based on their business - sends the emails on autopilot using instantly built for freelancers, agencies, and leadgen killers want the full flow + setup SOP? comment “EMAIL”, follow, + repost and I’ll send it over (must be following so I can DM)
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Kennan Frost
Kennan Frost@kennandavison·
Introducing Icon, the world’s first AI CMO (Chief Marketing Officer): it can plan, create, & run 1000s of winning ads end-to-end. We're backed by Peter Thiel's Founders Fund & execs of frontier AI labs like OpenAI (ChatGPT), Cognition, & Pika. How it works: 1. Connect Icon to your Meta Ad Account & Google Drive. It’ll use your ad account data & existing assets for planning & making ads. 2. Icon finds 100 winning ad concepts daily. It does this by scanning websites (yours & competitors), competitor ads, customer reviews, ad account performance, & more. It comes up with 3 types of ads: "Competitor Clone," "New Concept," & "Winner Iteration." You can copy what worked for competitors, try fresh approaches, & scale your winners. 3. Icon turns winning concepts into ads better than ChatGPT. Say you’re trying to copy a competitor’s before-and-after style ad. ChatGPT would make up random before-and-after scenarios & get your product dimensions wrong. Icon has a reasoning layer on top of GPT-4o that deeply studies the ad for minutes. It understands that it needs to make before-and-after scenarios using real insights from your website, product descriptions, & reviews. Icon gets ad intent, while ChatGPT only sees pixels. 4. Launch ads into your ad accounts with 1 click for less than $1. Before Icon, you’d launch 10 ads per week. Now you can launch 1000 ads per week & get more winners. Everything in my life has led up to this. At 18, I had to support myself. I had to live with my parents to save money. And no one thought I’d go anywhere. I really hated this, so I worked 100-hour weeks until I destroyed coding interviews. Soon after, I dropped out to join Pinterest at 19. After being a minion at Pinterest, I quit cold turkey & started my 1st company Skio. I then fluked into Y Combinator as a solo founder & completely failed during the batch. Thankfully, pivoting worked well ($15M+ ARR & profitable). But it’s not over yet. I have a massive chip on my shoulder that I must fix with Icon. So far, so good: we went from $0 to $5M ARR in our first 30 days. I know I’m not supposed to say this publicly, but I want to make Icon the greatest company of all time. I want to deliver insane value to our customers. I want to create generational wealth for my team & investors. I want to break the $0 to $100M ARR world record. And I’m putting my money where my mouth is: I just bought icon.com for $12M. If you've read this far, I want to say thank you with a gift 👇 We have an internal Google Drive with 1000+ static winning ads & 1000+ winning video ads. These ads have driven >$1.3B revenue in the last 6 months. We trained AI CMO on these ads. I’m pretty sure the right person could make $100K+ by just copying them. Retweet this & comment “Icon” and I’ll send you the Google Drive link for free.
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Andrej Karpathy
Andrej Karpathy@karpathy·
It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention. E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them. In 2025 the docs should be a single your_project.md text file that is intended to go into the context window of an LLM. Repeat for everything.
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Doug van Spronsen
Doug van Spronsen@dougvs·
@scottastevenson I think this is a function of utility vs novelty. High utility / integration / ecosystem usually wins over aesthetics, even if you are aesthetically driven
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Scott Stevenson
Scott Stevenson@scottastevenson·
Getting sick of Perplexity in the same way I got sick of Arc:
Scott Stevenson@scottastevenson

I love Arc and I hope they succeed, but.... Every software company that has tried this kind of hip & cool marketing has ultimately failed. Reminds me so much of Ello, the "cool" Facebook (youtube.com/watch?v=xgNR3x…). Ello's unique character gave them instant buzz and they felt dated 6 months later. It is really hard to create an enduring product with such strong flavor & character. Enduring software companies are generally designed to feel like boring utilities. Facebook, Twitter, Slack, Superhuman: they sacrifice character so that the user can fill the vessel with their own soul! If I pick up a phone, I want 100% of my focus to be on the person's voice, not on the "character" that the phone adds. Any unique character gets old and tiring if you use the product daily. There have been so many flash-in-the-pan companies that have used this kind of design/marketing to get 12+ months of attention, but it burns out and feels dated fast. Every time I get an email from Arc it now feels like: "damn I remember when I was so excited by this brand and now it's feeling old and dated" I want to see The Browser Company succeed, so I cry: You can build cool niche characterful products like Teenage Engineering, or you can build a boring utility that fundamentally changes the world, and that others fill with their own soul. Pick one!

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Doug van Spronsen
Doug van Spronsen@dougvs·
It seems we are still treating AI like a tool for thought, instead of a tool for self sufficient exploration/agency. Innovation requires the right questions to be asked and for the most part, humans are still asking old questions in this cycle (it’s even embedded in the UI itself). I think this will look odd in retrospect.
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Paul Graham
Paul Graham@paulg·
When a big new thing appears, we tend to think of it initially in terms of the old thing. For example, people thought of cars and trains as mechanized carriages initially, before starting to see them as their own thing. How are we doing this with AI?
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