Founder @techinasia (@ycombinator W15, exited). Dad of 3 girls. Learning, building, investing.

Joined March 2009
132 Photos and videos
So good. 📝 notes 1) growth rate and how long it continues matter 2) just keep making customers happy. That’s growth 3) discover a need that no one else knows about yet. Can do it by feeling the need yourself. 4) young people have advantage. 5) Because young gen’s needs predict future demand. 6) the way to get the very best startup ideas is not to look for startup ideas. the very best startup ideas tend to sound so lame 7) start by working on projects with your friends. That's where the very best startups come from 8) build random stuff you think would be cool, the things you build will actually be far from random. 9) understand some group of users so well that you can make exactly what they want 10) and again, just keep making customers happy.
How to Earn a Billion Dollars: paulgraham.com/earn.html
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📝Bill by output. Not by time.
A founder asked me how to build an AI-services business without it turning into a consultancy. My answer: the whole game is in how you charge.
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What a beautiful song and beat by “Jigoooo Radio” Didn't sleep that well last night Still got up the same Coffee tastes a little off Nothing feels the same People moving way too fast You're a step behind Trying just to keep it up With a crowded mind You don't need to fix it You don't need to try Not every kind of feeling Needs a reason why It's okay today If you feel this way You don't have to hide it You don't have to stay It's okay today Let it fade away Even if it lingers It'll pass someday Didn't check your messages Left them all unread Every little expectation Sitting in your head You don't have to answer You don't have to move Sometimes doing nothing Is enough for you You can let it breathe now You can let it stay Not everything you're feeling Needs to go away It's okay today If you feel this way You don't have to hide it You don't have to stay It's okay today Let it fade away Even if it lingers It'll pass someday It doesn't have to make sense It doesn't have to last Every kind of feeling Is just passing past It's okay today You're already here Every little moment now Makes it all more clear It's okay today Nothing disappears Every step you're taking now Means you're still here open.spotify.com/track/7kAdp…
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Willis Wee retweeted
Nessie just became the best way to get all your existing context, memory and history from ChatGPT, Perplexity, and Gemini into all the other places you have memory, and also get it into OpenClaw/Hermes Agent. Their OpenClaw and MCP servers are ace. nessielabs.com/docs/openclaw…
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if you still write PRDs and requirements, or if you want to make your specs for agents be less wrong, try this:
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Here's a simple loop: Tell codex to maintain your repos, wake up every 5 minutes and direct work to threads. That makes it easy to parallelize steer work as needed. I use a orchestrator skill combined with my triage autoreview computer use skills, so some work can land autonomously. github.com/steipete/agent-sc… github.com/steipete/agent-sc…
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💯
Life’s short. Do something meaningful. You should aspire to make a dent in the universe, but at the least you should make sure you leave the world better than when you first arrived in it.
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“harder is offense, choosing what to build in the first place. That's what I spend the year looking for, and I find it maybe three times. The model is no help there. It will do whatever you point it at and can't tell you what's worth pointing it at, and you can't benchmark that, so you can't train it. It's also the reason the incumbents don't take everything: they keep the ground they have, and the next thing comes from someone who finds a use before the rest of us. Maybe intent is an even scarcer input than compute.”
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Willis Wee retweeted
Jun 9
EXCITED to share I did not get into @ycombinator applying late. Back to building!
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Most people are harder to work with than they need to be. Not because they are difficult. Because everyone else has to guess. 💬 How do you like to communicate? 🤝 What earns your trust? What loses it? 😬 What flaws should people know about? At @techinasia, we used something simple: a personal user guide. It was never mandatory. But over time, most of the team wrote one and it did a few useful things. It broke the cold start. People found shared schools, hobbies, weird childhood hustles. Connection happened in a week instead of six months. It surfaced hidden skills. Someone could sing. Someone could design. Someone could emcee. Random on paper. Useful when you need someone to host an event, polish a deck, or bring energy to a room. It made career support easier too. When people wrote what they were aiming for, we could help. Without that, we were guessing. The biggest surprise to me is the non-work stuff mattered just as much. 📽️ Favourite movies. 🎾 Hobbies. 🩷 Family. 😂 And the slightly weird things that make you you. Small disclosures build bonds faster than time does. I think this travels beyond work too. Friends, partners, parents. Kids. People you actually want to know and want better connection. We do not usually treat them as worth writing a user guide for. Maybe we should? I wrote more here: williswee.substack.com/p/sma…

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Good read. Could also be a mixed if 3 too. anyways, most people don’t even try and will never know.
Logically how this ends is you will have 3 groups being successful in startups: 1) VC funded startups with money can still get distribution by ads/UGC and all their money will go there (because building is cheap with AI) 2) influencers will become more important, which is why you see famous people being investors in startups now, they get free equity in startups in return for pushing it to their audience 3) you still get a few creative geniuses who can hack going viral with super original ideas and execution, or ideas that tap really well into the zeitgeist (like that Indo girl with her app she started cause of a TikTok trend), the issue here is everyone thinks they're original and they're not, and also that everyone thinks they understand the zeitgeist and they usually don't, the more you're a normie the less you'll be able to do this, normie is opposite of zeitgeist
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Willis Wee retweeted
Brezilyalı bir paraşütçü, Amazon Yağmur Ormanları’nın yeniden yeşermesine katkı sağlamak için 100 milyon tohum bıraktı.
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RT @levelsio: Great post by @smalzner, the founder of Franz He launched 10 years ago, went superviral, got lots of offers to get VC funded…
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Massive output uptick due to agentic AI. Complete flat adoption.
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One thing Paul Graham said about YC interviews is that they’re not looking for founders who can “control the room” like polished salespeople. The real question YC is trying to answer is: “How do you know people actually want this?” That’s also why YC tends to filter out a lot of overly “street smart” founders. People who bluff, dodge questions, or try too hard to sound impressive are usually easier to detect than they think. Real understanding of users tends to sound much calmer and more specific.
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Pulled the trigger today and switched 100% of Lindy traffic to DeepSeek v4, churning from Anthropic models. Saves us millions of $ and we're actually seeing an *increase* in performance on many core use cases. Transformative for the business.
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Jun 1
been asking others at Anthropic how they stay in the loop with Claude and fully understand the work being done this is one of my favorites from Suzanne:
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interesting and $ saving. use to Compress, Summarize, Extract, Classify
Introducing ScaleDown 15x cheaper. 63x faster. 5.1% more accurate than GPT-5.4 Mini. Task-specific SLMs for the 70-80% of AI workloads that don't need a frontier model. From NeurIPS '25 to scaledown.ai
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Good direction
Measuring someone's productivity by their token usage is a horrible idea. Giving everyone the same fixed token budget isn't much better. So what's the right way to roll out AI across your org? We built a system to measure how many productive engineering hours every Devin task is worth, validated against a dataset of real engineers’ times estimates. The goal is to answer the fundamental question that companies are grappling with: how much real value are you getting from each of your agent sessions? On top of that, we're giving an AI productivity guarantee! Now if Devin delivers less engineering value than you're paying for, we fund your usage until it does. The whole industry needs to move from measuring activity to measuring output. We hope to see more AI companies taking this approach.
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