Join SEAR Turn the meals you're already cooking into rewards while helping train the robots of tomorrow. powered by @RobinhoodCrypto
Joined March 2026
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If you’re cooking anyway, your kitchen can do more than make dinner
with Sear, the way you cook becomes useful data for home robots and you get paid for sharing it
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Making soup anyway?
Wear Sear while you cook and that same session can help train home robots
you share the cooking data, we pay you for it
This week, I've been putting the finishing touches on our SWD + AI series AND making soup. Two very different recipes for creativity! 😉
🤖 SWD + AI: storytellingwithdata.com/blo…
🍲 Roasted tomato soup: coleskitch.com/recipes/roast…
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Most cooking looks simple when you’ve done it a thousand times
but every grip change every reach every adjustment and every correction carries information a home robot still has to learn
this is the kind of real kitchen data Sear is built to capture
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The robotics data race won’t be won by whoever collects the most footage
It’ll be won by whoever captures the hardest, most useful real-world behavior
That’s why Sear is going deep on kitchens
Building toward that with @LiftoWorld
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Glad to be in this lineup ❤️
We’re building the data layer for robots that need to learn from real kitchens
@joinsear 🤝 @LiftoWorld
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Sear is pretty simple
We give you smart glasses + gloves, you cook like you normally would, and the session becomes real-world training data for home robots
If it passes review, you get paid
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Anyone can record a cooking session
The harder part is capturing the right moments clearly enough that the movement, context and action are actually useful for training
That's what we care about
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Dinner is doing more than feeding people 👀
We're turning everyday cooking into real-world training data for home robots
Thanks to @LiftoWorld for featuring Sear and breaking down what we're building ❤️
📰 TODAY'S PROJECT ANALYSIS BY LIFTO
Project: @joinsear
Category: Data / Robot training data
SEAR pays home cooks to make dinner and turns every meal into verified robot training data.
🔎 THE VERDICT
✅ Real demand: 5,000 hrs contracted
✅ Market trend fit
✅ Alt-season friendly
Check out SEAR on Lifto 👉 app.lifto.world/tokens/sear
New project analysis every day. Stay tuned 🔔
Big ideas need the right backing
We're excited to announce our fundraising partnership with @LiftoWorld
Together we're opening new doors to help bring the future of cooking and home robotics closer to reality
More to come ❤️
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A finished dish tells you the outcome
The useful part is everything that happened before it when someone waited, adjusted, checked, corrected, or stopped eventually
That’s the kind of decision-making our home robots need to learn
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A recipe can tell a robot what tool to use
It still has to learn how to hold it, move it, adjust it and know when the job is done
That’s the part real human data teaches ♥️
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Collecting footage is easy
Knowing what’s actually worth training on is the hard part
Every Sear session has to earn its way into the dataset through quality, visibility and useful movement
More footage isn’t the goal, Better data is ❤️
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Most robot training data has to be created on purpose
But Sear changes that since dinner is already happening so why not train the robots on the OG data
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Sear is simple: we send you smart glasses and gloves, you cook the meal you were already making, and if the session passes review, you get paid
That cooking data helps home robots learn how people actually cook
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Cooking is never just one move after another
Every step changes what comes next and that’s exactly what robots need to learn
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To a human, this is just cooking
To a robot, it’s a sequence of movements, decisions and corrections it still has to learn
Real kitchens are full of training data
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Give five people the same recipe and you’ll probably get five different ways of making it
For home robots, that variation isn’t noise
It’s the real world
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AI learned what objects look like from the internet
Robots have a harder problem
They need to learn how much pressure a tomato can take, how it moves when gripped, when it starts to slip, and how to adjust without crushing it
Seeing the world was one challenge
Learning how to physically interact with it is the next one
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