Building | Past: @Google, @X, @Digits (valued $560M+), @Crashlytics (acq $100M+) | Investor @xAI @Apptronik @1x_tech @reflection_ai @UseReasoner

Joined April 2009
blynn retweeted
Naval Ravikant on how to build the team that ships:
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Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: reflection.ai/beam
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Brand has to start with the founders, not the CMO. A lot of people ask me how @Clay built its brand and how they should be thinking about their own company's brand. The advice I give always comes back to this: brand starts at the top and has to be authentic to the founders. There's a lot of data that shows CMOs are the most likely executive to get fired. And because of that, no matter how much they want to, they're not incentivized to take huge bets on something that won't show returns for a long time (if ever) — which is what brand is. Many think of marketing ROI as "how much did I put in, how much did I get out?" Brand is how much you put in today so that when you spend a dollar on performance marketing two years from now, you get more out of it. You're investing without knowing the direct ROI. We've been investing in brand since before we had revenue - that's when we bought clay.com, hired a claymation artist to design the images below, and more. People ask me why and I wish I could say it's because I'm a marketing savant. But the truth is that we just wanted to. We wanted the brand to feel a certain way - to capture the beauty of a product that exuded flexibility and creativity - and it felt right to invest in it from the start. Brand only works if it's authentic - and that only happens and actually gets prioritized when it comes from the top. As a little blast from the past, I pulled some mockups Hudson (said claymation artist) made for us ahead of our Product Hunt launch in Jan '22.
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Worldclass storytelling + perfect casting @PocketFM_App
Introducing Sherpa: the most advanced fiction writing AI We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data. 550K+ creators have produced 2.6M hours of content annualised using it Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios. 10% of eligible writers on Pocket FM make >$200K One blockbuster produced >$100M in revenue 3 writers have become millionaires in <2 yrs We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories: 1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it like a veteran editor on tension, stakes, and psychology 2. World & Characters: It builds out the complete lore, tone, and character psychologies 3. Sub-Plot planning: Breaks the premise into arcs, arcs into episodes, and episodes into scenes 4. Scene-by-Scene Generation: Outlines and drafts entire episodes, with you able to steer, rewrite, or override anytime 5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence before it locks 6. One-Tap Production: Pick a voice, convert to audio drama, and publish directly to Pocket FM’s millions of listeners 7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across international markets Test Sherpa for free here: pocketfm.com/sherpa _____________________________________________ Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function. Sherpa solves this through three core technical leaps: 1. Narrative World Model (State Tracking & Retrieval): Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across hundreds of episodes 2. Hierarchical Story Planner: When writing a 500-episode story like Naruto, you need to plan 100s of sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene. Rather than generating everything upfront, like a generic LLM, Sherpa uses progressive planning and dynamic replanning. As the story evolves, it identifies what changed, traces the downstream impact, and replans only the affected parts. 3. Prose Engine (Trained on series' retention data): LLMs write robotically, but serial fiction needs emotion, tension, pacing, and dialogue that sounds like real people. Sherpa's Prose Engine was designed specifically for storytelling. It was built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked. Feedback is taken from specialized evaluator models that measure every scene against a 40-item checklist. (Evaluator models were benchmarked against human reviewers and matched them 80–90% of the time.) _______________________________________________ Owning distribution and creation puts us in a very unique spot. More shows -> More data -> Sherpa becomes better -> more creator success -> more creators -> more shows Pocket FM has already seen one $100M IP. I believe Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows. Most people are scared of AI but I think it'll unlock more human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.
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blynn retweeted
I talked to a founder who was demoralized because all the ideas he could think of could be easily duplicated. I told him to ignore that worry; nearly all startup ideas are like that at first. Their value is the other ideas they lead to.
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blynn retweeted
Congratulations to our CEO and co-founder, Jeff Cardenas, for being named one of Austin Business Journal’s 2026 Power Players! 👏🦾 We believe Austin is the perfect place to build the future of humanoid robotics. Jeff’s vision has helped put the city at the center of the physical AI revolution. We’re proud to see him recognized alongside leaders shaping the future of Texas innovation and their industries. Check out the full 2026 @MyABJ Power Player list here: bizjournals.com/austin/news/… #humanoids #apptronik #robotics #austin
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Sharing the deck we presented to our LPs last Friday with a snapshot of the broad market, AI applications, and consumer. Market Technology progress vs economic diffusion What if it isn't a bubble Moats are discovered, not designed Model (non)commoditization Apps Turning the intelligence primitive into economic outcomes Apps that benefit from different "minds" Company as a set of loops Shape of automation in the enterprise Consumer Headwinds to consumer AI Coding agents vs personal agents /loop make me happy Digital Mainstreet a16z.news/p/intelligence-is-…
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A friend just sent me this, thought I could comment. We are over 7,000 people and never had an HQ at Deel. 500-word post going over: A. The two main misconceptions about remote work. B. 10 tactical tips to make it work. 1. Large companies behave like remote companies. If you go to any office, the person on the first floor won't know the person on the third floor. People Slack each other, share docs, get on calls. That's remote work. Being at the same building doesn't mean anything. Only the 5-10 people sitting at the same desk work in person. 2. People who don't want to work hard won't work hard; it's even easier to fake work when you are in an office. The only solution we've found is to hire driven people and create a culture that rewards top performers and automatically gets rid of bottom performers. _________ How to make remote work: 1. OKRs for every person and team. You must have full visibility on where they stand, especially after team grows larger. People who miss two straight quarters should be out. If you're not strict, it won't work. A good side effect of this is that underperformers leave the moment they realize they won't make it. 2. Slack is the office. If I reply in minutes to clients, they're still there and we start chatting. With teammates, the expectation spreads, and they start replying in minutes. Working remotely lets you drive dozens of initiatives every day if you are good at context switching. 3. Nobody has 8 straight hours of output. Real work gets done from 9-12, then a break. 13hs-15, break. 16hs-19hs. Remote lets you live between the bursts instead of pretending to work. 4. Take notes, write, and record. People forget things and when it's not somewhere, no one knows who's responsible for anything. 5. Hire people who are self-managing. Sounds cliche but it's really true. You can tell after they work 3-6 months at the company. 6. Default to public channels if needed. Everything in the open means the right person will jump in before a mistake ships or they'll be held responsible. Have an aggressive tag culture. 7. Onboard in public. New hires read the last 6 months of decisions in the channel and understands how you work by week one. 8. Hire across time zones on purpose. A ticket opened in London gets picked up in New York and resolved there, before Asia wakes up. Spread your team and the company runs 24hs without anyone doing a night shift. 9. Record and kill meetings quickly. Most syncs are one person talking and six people nodding. Post a video, let people watch at 2x. Save the live time for the things that really need it. If it's a 1v1, send a voice note and have people transcribe & summarize it. 10. Tie pay and promo to output. The minute you reward who's green on Slack at 9pm, everyone starts pretending. Judge the work. Nobody who ships should ever feel they need to perform being busy.
Why Remote Work is White Collar Fraud. "I have a three-year-old and a five-year-old. The idea that I could do any work at my house is like a total fantasy. The kids come home at 3pm, your work day needs to keep going. I'm highly against it." @typesfast
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Roger Federer on what it takes to win: “In the 1526 singles matches I played in my career, I won almost 80% of those matches. Now, I have a question for you. What percentage of points do you think I won in those matches? Only 54%. In other words, even top-ranked tennis players win barely more than half of the points they play. When you lose every second point on average, you learn not to dwell on every shot. You teach yourself to think: it's only a point. When you're playing a point, it has to be the most important thing in the world, and it is. But when it's behind you, it's behind you. This mindset is really crucial because it frees you to fully commit to the next point and the next point after that, with intensity, clarity, and focus. You want to become a master at overcoming hard moments. That is, to me, the sign of a champion.”
'When you're playing a point, it has to be the most important thing in the world, and it is. But when it's behind you, it's behind you.'
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ai startups aren’t competing against other ai startups. They’re competing against: - the tracker sheet their team’s used for years - the 5 open tabs needed for a task - the copy-and-paste workflow nobody documented - the employee who “just does it” - ignorance, fear of change, laziness
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Huge congrats to the @GoogleDeepMind team on launching Gemini Robotics 2! Watching Apollo 2 use advanced reasoning to navigate whole-body tasks and fine-tuned dexterity is a massive leap forward. See it for yourself! 👇 #apptronik #robotics #AI #humanoids
One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.
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So much of being a founder is overcoming fear. Fear of launching Fear of talking to users Fear of rejection Fear of ambiguity Fear of charging money Fear of looking dumb Fear of doing the hard thing What are you avoiding because of fear? Don't let it control your company.
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Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability. For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.
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The biggest problem with AI is that priors need to be reset every few weeks.. and it seems like most people are incapable of doing that. I talk to so many people who say xyz doesn’t work and when I ask when was the last time they tried testing it, the answer is always “a few months ago.” Brother that’s like eons ago in AI timelines. This is why each person needs to have their own evals of hard tasks and weekly tinker time to truly understand where the frontier is. And then you need to talk to enterprise buyers weekly who are usually two years behind. But they are the buyers so you need to understand how to market. The combination of the two will give you a pretty good sense of where to invest time and capital. If you just do these two weekly, you’ll be ahead of 99% of people.
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I don’t really have many VC horror stories. The worst ones are just meetings where there isn’t much interest. Everyone is still polite, but you can feel it’s not going anywhere. With my first company, I pitched a lot of VCs and got a lot of polite rejections. With Linear, I approached fundraising differently. I tried to always be in a position where I didn’t need funding. I also didn’t do pitch meetings unless there was real mutual interest. I would take casual meetings, but tried to avoid pitch meetings, until I thought the timing was right, I was in the process, and I was interested and I could see the VC interested too. Early on, we raised a small amount from angels. We didn’t want to commit to a VC at the very beginning, and with three co-founders we knew we could build the first version without much money. After we announced the company, investor interest started to pick up. I told most VCs no and said I was focused on building the product. Then Sequoia reached out. I took a coffee meeting with one of the partners because, well, it was Sequoia. The partner later pushed me to come in and “meet more people.” I assumed this might turn into more of a pitch meeting, so I came prepared with slides and some thinking. I was willing to do it, again because it was Sequoia. Before committing to the meeting, I told them clearly that I wasn’t raising and didn’t want to waste their time. They still wanted me to come in. After the pitch, someone asked how much we were raising, since it wasn’t in the deck. I said what I had already told them: I’m not raising. They asked, “Well, if you were raising, what would you raise?” I said I hadn’t really thought about it, and we wrapped the meeting. They didn’t invest in that moment, but a few weeks later, once we actually decided to raise, they fought against other term sheets and led our seed round. About a year later, Linear became breakeven/profitable. Every round since has been more focused. I’ve mostly met casually with VCs, usually engaging with 3–5 firms per round, and only doing a pitch if I thought they were good and they really wanted it. I’ve still gotten plenty of passes too. Each round has taken about 2-3 weeks, because I've built the relationships, then just completed the show, and closed within couple of weeks. With every round, I’ve also given VCs some homework. I send them a memo and questions about the business, ask them to write answers, and then we discuss them live. For our Series B, several people from Accel flew to where I live, booked a hotel space, and came with binders of research about our company. It wasn’t a formal pitch meeting. It was a discussion. I share this because for every VC horror story, there are also stories where investors really go the extra mile. There are many cases where the VC builds the case, defends and believes in the founder, and does everything they can to make the investment happen, even when the rest of the partnership isn’t fully there yet. I’ve only raised in 2012 and from 2019 onward, so I do believe there were times when VCs had more power and could abuse it more. YC, in some ways, helped put a stop to that. But my guess is that VCs more often do something extraordinary than treat someone badly. You just don’t hear about those extraordinary experiences as much. I’ve seen VCs fly anywhere in the world on a moment’s notice to try to convince a founder. I’ve been called many times to help sell a founder on a firm. VCs will do everything, call in every favor, to impress the founder. And I don’t envy the job. It seems grueling. You have to pass on a lot of people who are obviously passionate about their business, and people take it personally. At the same time, you have to work incredibly hard to get into the best deals.
I was once pitching in a board room at a top 3 VC firm for a $15M Series A. 12 people in the meeting. One of the GPs fully fell asleep. Out cold for 30+ minutes. Nobody acknowledged it. Everyone just kept going. I kept presenting my Series A slides to an unconscious man in a Herman Miller chair and somehow that was considered normal. That's venture capital. You might fly across the country to perform for people who may or may not be conscious. It's a dance. And sometimes you lead and sometimes you follow and sometimes your partner is unconscious. If you're raising right now, just know: every founder has a story like this. The process is weird. The power dynamic is weird. You're not crazy for thinking it's weird. No one talks about it because they want to continue raising. But I'm happy to stick my neck out there. It is weird.
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blynn retweeted
AI just crossed a major line in accounting. 🧠 For the first time, frontier models beat the outsourced human accountant baseline in our transaction-classification benchmark. Five models, to be exact. 📊 Digits AGL® still led with 97.8% accuracy, sub-second turnaround, and zero hallucinations. But in accounting, human-level classification accuracy is only one part of the job. The harder question is whether AI can operate within the rules, context, history, controls, and audit trail of the books themselves. 🔍 Read the full benchmark👉 digits.com/blog/frontier-mod…
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Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.
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