@sherwinwu Most of the world are great for kids when your default baseline is San Francisco man.
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Lei Du
679 posts
Lei Du
@le1du
I build & help others build cool stuff.
San Francisco, CA Katılım Ekim 2007
773 Takip Edilen1.6K Takipçiler
Everyone told me Tokyo wasn’t the most kid-friendly city, but after visiting Lalaport Mall in Toyosu – I’m starting to think otherwise. The mall has:
- a mini theme park called KidZania, where kids can pretend to do adult jobs for the day, like being a firefighter
- some insanely large baby store called Akachan Honpo, with a selection of 50+ (!) strollers you can buy and demo on fake sidewalk patterns
- also a Sesame Street Cafe???
- and maybe 80% of stores selling kid clothes
What is this place and how can we get this in the US ASAP??
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Blaming an individual doesn't fix anything. A better deploy pipeline does.
This is the best mindset in a postmortem. Assume everyone did their work with the best intentions and best effort. Focus on software, infra, process, and culture — that's what drives scalable change.
Boris Cherny@bcherny
Mistakes happen. As a team, the important thing is to recognize it’s never an individuals’s fault — it’s the process, the culture, or the infra. In this case, there was a manual deploy step that should have been better automated. Our team has made a few improvements to the automation for next time, a couple more on the way.
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Here's a more honest structure. Two SPVs. One real, one fake. Fake one sits 2x above the real one. Company goes to zero, you still return some capital. We call it Collared Ventures. DM for allocation.
Citrini@citrini
For everyone who’s ever looked at a private company and said “man that’s a zero I wish I could short it”, have you considered fake SPVs?
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Actually now age matters less than ever
The only thing that matters is your velocity at which you can create things now
“paula”@paularambles
overheard in sf: “i’m too old for yc” (just turned 29)
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For everyone who’s ever looked at a private company and said “man that’s a zero I wish I could short it”, have you considered fake SPVs?
based16z@based16z
Guy who ran a fake Mercor SPV and is extremely relieved they’re going to zero
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50% of all relationship advice on Reddit is “leave.” 15 years of data, 52 million comments, and the trend line only goes one direction.
A researcher filtered r/relationship_advice down to 1,166,592 quality comments and tracked what people actually recommend. In 2010, “End Relationship” sat around 30%. By 2025, it’s approaching 50%.
“Communicate” dropped from 22% to 14%. “Compromise” collapsed from 7% to 3%. “Give Space” fell from 25% to 13%. Every category that requires patience lost ground every single year.
The one category growing faster than “leave” is “Seek Therapy,” which went from 1% to 6%. The subreddit is slowly learning to say “this is above my pay grade.”
Train a model on this dataset and it would absolutely tell people to break up. The training data is 50% “leave” and climbing. The model wouldn’t be broken. It would be accurately reflecting what 52 million commenters actually believe about your relationship.
A 50% prior that you should leave, a 14% prior that you should talk about it, and a 6% prior that you need a professional. That’s not LLM psychosis. That’s the median human opinion on your relationship, backed by the largest advice dataset ever assembled.
“paula”@paularambles
LLM that keeps telling people to break up because it’s been trained on relationship advice subreddits
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@sri_batchu What are you talking about. Autocratic sovereign can be LP too 😉. Ask vision fund.
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@le1du VC king-making is a little different than autocratic sovereign king-making no?
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What are examples of the VC industry successfully king-making in previous cycles?
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Ironically this essay on taste could have used a tasteful co-creator/curator to edit
Will Manidis@WillManidis
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I’m very OK living in a Pocari Sweat Commercial universe. Please sign me up.
Autism Capital 🧩@AutismCapital
This is actually what the future will look like. When wearable AR glasses saturate the market a whole generation will grow up only knowing reality through a mixed virtual/real spatial computing lens. It will be chaotic and stimulating. They will cherish their digital objects.
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All of this. @sherwinwu is an OG Opendoor PM. We still use much of what he built in our pricing land.
He is helping Opendoor succeed while working at OpenAI.
This feels like an Open to Open alleyoop.
Lenny Rachitsky@lennysan
My biggest takeaways from @sherwinwu: 1. AI is writing virtually all code at OpenAI. 95% of the engineers use Codex, and engineers who embrace these tools open 70% more pull requests than their peers, and that gap is widening over time. 2. The role of a software engineer is shifting from writing code to managing fleets of AI agents. Many engineers now run 10 to 20 parallel Codex threads, steering and reviewing rather than writing code themselves. 3. The average PR code review time has dropped from 10-15 minutes per PR to 2-3 minutes. Every pull request at OpenAI is now reviewed by Codex before human eyes see it, and Codex surfaces suggestions and catches issues up front. This allows engineers to focus on more creative and strategic work while dramatically increasing productivity. 4. The models will eat your scaffolding for breakfast. When building AI products, don’t optimize for today’s model capabilities. The field is evolving so rapidly that the scaffolding (vector stores, agent frameworks, etc.) that seems essential today may be obsolete tomorrow as models improve. 5. Build for where the models are going, not where they are today. The most successful AI startups build products that work at 80% capability now, knowing the next model release will push them over the line. 6. Top performers become disproportionately more productive with AI tools. AI tools amplify the productivity of high-agency individuals, so the gap between top performers and everyone else is widening. The ROI on unblocking and empowering your best people compounds faster than ever in an AI-augmented environment. 7. Most enterprise AI deployments have negative ROI because they’re top-down mandates without bottom-up adoption. Success requires both executive buy-in and grassroots enthusiasm. Sherwin recommends creating a “tiger team” of technically-minded enthusiasts (often not engineers) who can explore capabilities, apply AI to specific workflows, and create excitement throughout the organization. 8. The one-person billion-dollar startup is coming, but with unexpected second-order effects. As AI makes individuals more productive, we’ll see not just billion-dollar solo founders but an explosion of small businesses: hundreds of $100M startups and tens of thousands of $10M startups. This will transform the startup ecosystem and venture capital landscape. 9. Business process automation is an underrated AI opportunity. While Silicon Valley focuses on knowledge work, most of the economy runs on repeatable business processes with standard operating procedures. There’s massive potential to apply AI to these workflows, which are often overlooked by the tech community. 10. The next two to three years will be the most exciting in tech history. After a relatively quiet period from 2015 to 2020, we’re now in an unprecedented era of innovation. Sherwin encourages everyone to engage with AI tools and not take this moment for granted, as the pace of change will eventually slow. 11. AI models will soon handle multi-hour tasks coherently. Today’s models are optimized for tasks that take minutes, but within 12 to 18 months we’ll see models that can work on complex tasks for upward of six hours. This will enable entirely new categories of products and workflows. 12. Audio is the next frontier for multimodal AI. While coding and text get most of the attention, audio is hugely underrated in business settings. Improvements in speech-to-speech models over the next 6 to 12 months will unlock significant new capabilities for business communication and operations.
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Synthetic Users changes how you talk to your customers.
We built it so any team can run user research in minutes, not weeks.
No recruiting. No scheduling. No transcribing.
Try it out today: reforge.com/build/syntheti…
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"I'm buzzing with adrenaline... I smell blood. No mercy."
We found this in one of Gemini 3 Pro's reasoning traces during our 250-game AI poker tournament.
That was just the beginning.
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zCloak Network is proud to join the Linux Foundation's @linuxfoundation Agentic AI Foundation (AAIF) as a member!
Let's build a trusted future for AI Agents together! 🤖🔐
#zCloak #LinuxFoundation #AAIF #AIAgent
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@justindross insane to think there are people trying to create a modern day techno slavery system with blockchain.
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As a Jew please let the record show that I don’t think we should have a social credit score or public tokenized ownership of everything and I don’t think this is very helpful for the Jewish conspiracies, LARRY!
thewinepress.substack.com/p/tokenization… digitizing
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I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup.
After 144 rejections, I started questioning our approach.
Were we solving the right problem?
What were we doing wrong?
Why weren’t investors seeing what we were seeing?
Were we the right team to build this?
We tried everything: different pitch angles, new deck structures, and reframing the problem.
Then came the 145th meeting, where we closed our first growth round.
That yes made everything worth it. But getting there took years of mistakes and hard work.
We went through a lot of trial and error just to figure out what resonates with investors.
We tried dozens of approaches to figure out what made investors engage.
Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper.
And once we cracked that code, our Series C closed faster than expected.
And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works.
So today I want to give you the resource I wish I had back then:
Something that shows you exactly how to structure these conversations and navigate the entire process
(because the fundraising cycle can be a big distraction and take a toll on you as a founder).
So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years.
Here's what you are getting:
• The actual decks I used to raise $150M for Super[.]com (Series B, C)
• 50 real examples from funded startups like Eleven Labs and Artisan AI
• A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually)
• An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed)
Want access?
• Like and share this post
• Comment "FUNDRAISE"
• Follow me so I can DM you the link
I'll send it over ASAP.
P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.
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I'm hiring for a new engineering role working directly with me to support our most sophisticated customers. Looking for someone who wants to work across the AI / AI infra stack, write / debug a ton of code, work directly with customers, move / learn super fast. DM me.
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Would like to share a personal story with those who have experienced losses a few days ago.
In 2018, I got a ticket near my home, turning right on a red light. $650. Holy crap, I’d never seen a ticket that expensive! I confronted the officer, “But the signal sign was white, wasn’t it?” (In our town, white text usually means pedestrians can go, so it was engrained in my mind that white is safe.)
The cop calmly responded, “Did you actually read what the sign said? It says ‘No Right Turn on Red’. There are eight different signs around that intersection reminding you not to turn on red. And by the way, it’s a multi-way junction. When you turn right there, two directions of oncoming cars are completely outside your field of view.”
I was still skeptical, so the next day I went back to check. Sure enough, there were eight clear signs saying no right turn on red, and indeed two directions of cars were invisible from that angle. The wording on the sign really did say “No Right Turn on Red.”
At that moment, besides cursing who designed that confusing traffic light, I realized the real problem wasn’t the cop or the signs — it was me. I had relied too much on “experience,” assuming white always meant safe, without actually reading the words or noticing any of the other warnings. Even if there had been eight hundred signs, I still would’ve turned right on red.
If not for that ticket and the officer’s explanation, I would’ve kept turning right on red every day - and that was the same route I took to drop off and pick up my kids everyday. Who knows when an accident might have happened? The $650 fine stung, but compared with a crash, it was nothing.
To this day, I’m genuinely grateful to that officer.
Sometimes what looks like a loss, no matter how painful, is really life’s gentle reminder. 💫
Onward and upward. 📷🌱
Richard Liu@DrPayFi
非常喜欢你的心态，塞翁失马，焉知非福。这样的心态，一定有福。@onehopeA9 分享一个自己的小故事，与这周遭受损失的朋友共勉。 2018 年，我在家附近被开了一张罚单：红灯右拐，$650。Holly crap，从来没见过这么贵的罚单！我当时质问警察，信号提示不是白色的吗？（在我们那个小镇，人行道可以通行的提示字体都是白色的）警察平静地说：你看了字写的是什么吗？上面写着 "No Right Turn on Red"。你应该看到八个各式的标志提醒你红灯不能右转。而且，那是一个多叉路口，你右转时有两个方向的来车是你的盲点，你根本看不见。 我当时还将信将疑。第二天特意去看，果然有八个各种各样的的标志不能红灯右转，也确实有两个方向的来车在我视线盲区里，提示的文字确实说的是不能红灯右拐。那一刻除了骂设计灯的 WBD以外，也意识到问题不在警察，也不在标志，而在我自己。我太过依赖“经验”，以为白色就是安全信号，根本没看文字，也忽略了所有一切别的提示。那怕还有八百个别的提示，我依然会右拐！ 如果不是那张罚单和警察的解释，我一定会继续在那里红灯右拐。并且是我接送小孩必经之路，保不齐哪天就出事故了。650 美元的罚单确实肉疼，但和一场车祸比，真不算什么。我到现在还真心感激那一个警察。 有时看似损失，不管有多大，其实是命运的一次温柔提醒💫 Onward and upward. 🌱
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