Deepayan Chakraborty

14 posts

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Deepayan Chakraborty

Deepayan Chakraborty

@peepayan10

uiuc mech-e ai & robotics enthusiast building Novonus for next gen industrial automation

شامل ہوئے Ocak 2026
224 فالونگ12 فالوورز
Deepayan Chakraborty
Deepayan Chakraborty@peepayan10·
@JackFratto @Tancrededib but robots are. My idea is robot agnostic. this way human intent gets transferred to not just humanoids but robot arms and grippers asw. Labor shortage is real in high precision and skilled manufacturing. we r tryna close that gap.
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Jack Fratto
Jack Fratto@JackFratto·
@peepayan10 @Tancrededib Why not just sell the data to prosthetics companies? I don't think humanoid robots are the future of industrial automation
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Tancrede
Tancrede@Tancrededib·
if you're looking for a cofounder, present yourself in one sentence + space you want to work in everyone else, like the profiles that stand out i'll be looking to invest in the best ones
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Deepayan Chakraborty
Deepayan Chakraborty@peepayan10·
@audrlo @fdotinc building the new gen way of training robots for industrial automation using brain-muscle signals from humans to acquire pre-contact muscle intent closing in the sim2real gap more than ever
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Audrey
Audrey@audrlo·
my good friends at @fdotinc are investing $3M in student founders by the end of summer. reply if you're building something cool + i can refer you!
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Sridhar A
Sridhar A@sridharfyi·
@peepayan10 capturing intent before action could become the missing layer between simulation and deployment.
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Sridhar A
Sridhar A@sridharfyi·
actively writing pre-seed and seed checks into early founders. if youre obsessed with what youre building, drop your one-liner + what youre working on right here. high signal replies only. dms open. lets build #startups
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Deepayan Chakraborty
Deepayan Chakraborty@peepayan10·
tryna build smth beyond the capabilities of my home garage - a new way to train industrial grade robots using emg signals from ur muscles. instead of bulky teleoperation systems, im minimizing it to a few sensors and a whole pipeline ready to deploy robots at an unprecedented efficient
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Founders Inc
Founders Inc@fdotinc·
@ Hardware Engineers If you're spending the summer building at home in a garage I'm inviting you to build here instead Send us a pic of your prototype, we'll send a link
Founders Inc tweet mediaFounders Inc tweet media
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Asimov
Asimov@asimovinc·
Meeting up in the US next week 🧡 - June 2nd, Palo Alto - June 4th, SF - June 6th, Austin We'd love to meet you in person and gather folks who want to chat about humanoids & AI. Coffee on us! Grab a spot on Luma. luma.com/user/menlo_res…
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Ferbin
Ferbin@Ferbin08·
Looking to connect with people into: - robotics + physical AI - solo building - markets If you're working in any of those, let's swap notes. Reply or DM.
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Hubert Thieblot
Hubert Thieblot@hthieblot·
I'm investing up to 250k first checks in teams building: - robotics, drones, space - Models, vertical AI - manufacturing, logistics - Stablecoins DMs are always open. Tell me what you're building!
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Deepayan Chakraborty
Deepayan Chakraborty@peepayan10·
@altantutar Agreed. The defensibility gap isn’t dataset size, it’s signal type. Egocentric video captures where the body went. Capturing pre-contact muscle signals gives you richer, faster, sim-to-real-grounded training data. None of it scrapeable from video. That’s what we’re building.
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altan tutar
altan tutar@altantutar·
The most crowded pitch in robotics right now"we're building the largest egocentric dataset." This is also potentially the least defensible one too. I understand it's the easiest vertical to get into, but without a unique insight, I see tons of companies failing in this vertical. And the unique insight usually comes from having actual worked & spent time in robotics, which a lot of founders lack.
altan tutar@altantutar

If I were starting a robotics company in 2026, I wouldn't build another humanoid. Here are the 7 wedges I'd explore instead: 1/ Actuators: China runs ~90% of magnet manufacturing and has a monopoly. Every humanoid needs ~40 motors. This will be the hardest robotics bottleneck of the decade. 2/ Ocean robotics: Saronic just raised $1.75B at a $9.25B valuation. Defense is the main buyer, but there are a lot of commercial buyers that people ignore. 3/ Space robotics: Launch costs are going to fall exponentially in the next decade. Orbit is going to become a labor market, and robots will do the work, not humans. 4/ System integrators: There's a lot of robots being built, but there is no one to go deploy them. 5/ Specialized VLAs: Actor Labs fine-tuned π0.5 on a real excavator. You could see that apply to different domains. 6/ Industrial inspection: Boring at first site, but probably one of the most overlook category. Buyers are big spenders, like oil and gas companies. 7/ Sim-to-real for unmanned missions: Almost all sim environments are created for ground & air physics. What if you build an ocean simulator? What would you add?

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Lukas Ziegler
Lukas Ziegler@lukas_m_ziegler·
pitch me your robotics startup in one line
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Deepayan Chakraborty ری ٹویٹ کیا
Paul Graham
Paul Graham@paulg·
I bet few people there know it, but YC wouldn't exist without UIUC. My father went there from England on a Fullbright, and came back determined to move to America.
Y Combinator@ycombinator

Y Combinator partner and UIUC alum @koomen is visiting UIUC later this month! If you're a student who has been thinking about starting a startup, or are in the very earliest stages of building one, we hope to meet you there. Learn more at events.ycombinator.com/YC-UIUC-1-29

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