Founder at Human Archive (YC W26) | @ucberkeley dropout and Mango Farmer
SF
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RT @BrendanFoody: the sheer velocity of a company that works 2x a many hours as a competitor is hard to compete with.
maintaining a high i…
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Raj Patel retweeted
played tennis for many years and never knew how tennis balls were made until today
who's down to play? 🎾
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We're launching an Entrepreneur in Residence (EIR) program at Human Archive (Global: Work out of any of our offices across US, South Asia, China or remotely,). We also have some reserved spots for founders from LatAm, MENA, Eastern Europe!
the demand for real-world data is growing rapidly and we want to accelerate the infrastructure around it. We want to work with people who can build businesses to close gaps and solve problems that we’re unable to at the moment.
- You build and own 100% of your business
- We bring guaranteed demand for your products
- We support you with legal, financial, and operational infrastructure
I think this is one of the best opportunities to build a business today. You get to build around real customers and actual demand from day one in an industry that’s early yet growing
It doesn't matter if you've built a company before. We care more about your ability to figure things out and execute.
Apply now: docs.google.com/forms/d/e/1F…
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Congrats @jang_yoel and team! Excited to test it out
Today, Dream Labs is coming out of stealth with Dream-1, a robot foundation model that controls bimanual robots it has never seen, on tasks it was never shown, in places it has never been, from $3/hour.
Dream API is live for everyone, today. 🧵
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When Mercor earned a pilot with DeepMind in 2024, the entire company pulled an all-nighter to handwrite all of the data in 24 hours.
Building a legendary company requires extreme intensity, especially in the early days.
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Everyday at Human Archive we’re doing more to understand and evaluate our data at scale! 🚀
We pre-trained the same VLA on 100 hours of Human Archive’s OTS dataset and 100 hours of randomly sampled data from each of @microagi’s and @MeckaAI’s datasets on EgoVerse.
Overall, Human Archive data achieved the strongest results, with the highest overall task success rate. We observed particularly strong generalization to unseen objects.
Thread below 🧵👇
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We pre-trained the same VLA on 100 hours of Human Archive’s OTS dataset and 100 hours of randomly sampled data from each of @microagi’s and @MeckaAI’s datasets on EgoVerse.
Overall, Human Archive data achieved the strongest results, with the highest overall task success rate. We observed particularly strong generalization to unseen objects.
Thread below 🧵👇
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Wing led our seed when Human Archive was far from obvious and deeply contrarian. Truly an incredible group of people!
Last Wednesday, we brought our portfolio founders together in Half Moon Bay for the 2026 Wing CEO Summit.
The day focused on building AI-native companies: how they’re organized, how they go to market, and more.
Thank you to our speakers:
✅ Nicholas Marwell, @AnthropicAI
✅ Ryan Daniels, @crosbylegal
✅ Chris Degnan, @cognition
✅ Qasar Younis, @AppliedInt
And to every founder who joined us. We’re proud to build alongside you.
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For students working on #robotics: Make sure you understand coordinate frames, SE(3) transformations, and robot kinematics.
Robot learning is not just about training models on data. Robot data has physical meaning, and understanding the underlying geometry is essential.
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Raj Patel retweeted
The importance of TAM expansion
Late night chat with @nakul led to a discussion about TAM expansion.
tldr Every great company needs to constantly and continuously expand their TAM and launch products / services that go after new customer behaviors and new addressable markets. In fact, you cannot be a generational company with just the same product / addressable market that you started with.
if Google had stayed search + ads + youtube only, we wouldn't have Chrome, GCP, Waymo, and many others.
if Facebook had only stayed Facebook and not done Insta or WhatsApp (or Muse!), the company would worth a fraction of what it is today.
Same for every other generational company
Seems obvious in retrospect but worth stating.
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One year ago from today, @Rush26agarwal @shloke_patel and I started thinking about human video/sensor data for robot learning!
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We are hiring a robot learning intern in our SF office! Apply here: jobs.ashbyhq.com/humanarchiv…
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