//Launch wave · Sep 29, 2026

mehul

Posted by @mehul on Sep 29, 2026, 18:14 UTC. A launch wave under the published rule.

quoters in the first hour
39
quoters in four hours
55
repeat quoters in four hours (31%)
17
sentinels in four hours
15

The Launch

  • Companymehul
  • Kindpromo
  • Groupdetector-found
  • Author@mehul
  • Author’s followers at first read14,724
  • Views at read726,997
  • Quoters retrieved84
  • Quoters in 24 hours75
  • Agency roster accounts in four hours2
  • In the Doomers launch directoryno

The Launch Post

The post as it was read, shown as written.

After 9 years. 16K+ family homes. 500M sqft inside real homes covered, we know home robots are being built in wrong order. So we built Matic the way nature grows a child. Finally, sharing our vision: 1.⁠ ⁠Why robots get stuck at the demo 2.⁠ ⁠Why labs can't ship robots 3.⁠ ⁠Why we started with eyes, not hands 4.⁠ ⁠The 99.999% rule in robotics 5.⁠ ⁠Where Matic is going next 1. Why most robots get stuck at demos Robot demos look brilliant in a room arranged around its limitations: familiar lighting, predictable furniture, nothing troublesome on the floor. A family’s home makes no such accommodations. There are cables, toys, shifting rugs and, occasionally, dog poop. Yes, humanoids will need to avoid that too. Repeating a task under familiar conditions of uncluttered floors is not the same as handling an unfamiliar home with all its chaos. 2. Why labs can't ship robots SLAM (Simultaneous Localization and Mapping) is how a robot maps its surroundings and locates itself within them. Ask most academics and they'll tell you it's a solved problem. But real homes are the most chaotic spaces that exist. There are glass doors that look like open doorways, mirrors, stairs, rugs, charging cables, and Legos placed all around. So ask yourself: if indoor mapping and navigation is "solved," where are the robots? Why aren't airports, hotels and grocery stores full of them? Calling it “solved” misses the question families actually care about: can I leave this thing alone and trust it? 3. Why we started with eyes, not hands Nature doesn't give birth to a fully working human. We took our cue from how nature develops humans: capabilities built on one another. Children learn to see before they learn to grab, and to grab before they learn to plan and handle the unexpected. Perception comes first. Manipulation follows. More complex responsibilities come after that. At every stage, the robot must earn the next job by doing its current one well enough. Before asking a robot to pick up a sock, we wanted it to understand where it was, where the sock was, and how to reach it. Most of the industry started at the top, with humanoids. We started at the bottom, with a robot whose job is to see and move through a home precisely with 1cm accuracy in any lighting condition. Floor cleaning gave that foundation an immediately useful job. It forced us to confront navigation, clutter, privacy and everyday reliability before reaching for more complex chores. The floor cleaner isn’t a detour from our larger ambition. It is how we’re building toward it. 4. The 99.999% rule in robotics At 90%, one in ten decisions is wrong, and a robot makes thousands in a single clean. That's the robot that bumps, gets lost, and falls down the stairs. Every extra nine is a new mountain. The failures get rarer, harder to find, and exponentially harder to fix. They barely even happen until they happen in your home. Matic's visual SLAM runs at 99.999% in 16K+ homes. We’re the ONLY unsupervised home robot at scale with pure vision-only full autonomy. If you ask us, the gap between 80% and 99.999% is where our 9 years of engineering went. We close that gap inside real homes. When Matic handles something imperfectly, it saves a short clip and keeps it on the device. It only leaves if the family chooses to share it. If they do, it gets labeled, fed back into the model, and every Matic gets smarter, including theirs. Families control what leaves their homes. We do the work of making the product better. Better robots earn trust > trust brings more homes > and more homes teach the robot more. 5. Where Matic is going next Phase one was perception and it's nearly done. Matic has covered 500 million square feet, 400K miles in thousands of real lived-in homes. Now phase two is going to be about manipulation. And our idea is to build a robot that doesn't just move through your home, but acts in it to eliminate even more chores. Each step must be useful today, not justified by something we promise tomorrow. The evolution of Matic is the revolution. The goal isn’t to put the most impressive humanoid in your living room. It’s giving your family time and energy back through robots that earn your trust, protect your privacy, and help without becoming another responsibility. More time for each other. Less work getting in the way. That’s Matic. Get yours today at https://t.co/tEo81BKSmA
@mehul

Quoters Over the First Four Hours

Cumulative quoters; the dashed line is the comparison launch (comparator nearest in account size).

t01 h4 h61

Minute Marks: The minute after the launch post at which each quoter count was reached.

  • 5th quoter6
  • 10th quoter17
  • 20th quoter22
  • 50th quoter133
  • 100th quoternot reached
  • median minute of quotes in four hours29

Agency Claims

What agencies’ own public pages say about this launch, quoted as read.

No agency claim about this launch was found on the pages read.

Who Quoted Early

Role of the accounts that quoted inside four hours, read from their bios.

  • creator17
  • engineer or researcher13
  • other10
  • founder8
  • investor4
  • media2
  • marketing or sales1

Every Quoter in the First Four Hours

In order of the minute they quoted. Bios and names are shown as written.

Filters

Only
55 of 55 quoters
@maticrobots · Matic Robots3————other
@mattparlmer · mattparlmer 🪐 🌷5————founder
@amymatthy · Amy Mathews6————other
@SheteGanesh3471 · Ganesh6————other
@abhinavhiimself · abhi6————engineer or researcher
@hariharan_tp · the rizz carlton7————engineer or researcher
@Neha_Shinde12 · Neha Shinde8————other
@deanwperkins · Dean W. Perkins15yesyes——creator
@maarcoofdezz · Marco16yesyes——founder
@farzyness · Farzad 🇺🇸 🇮🇷17————creator
@fakeKaranJain · Karan Jain19————engineer or researcher
@kaido_xr · kai.19yesyes——creator
@swastidkasture · Swastid Kasture19————engineer or researcher
@teslaownersSV · Tesla Owners Silicon Valley19————media
@benyuls · ben.21yesyes——founder
@zaynmcps · z21yesyesclickstrike.com—engineer or researcher
@igus_ai · gus21yesyes——creator
@txbrraa · tobarra22yes———engineer or researcher
@nicos_ai · Nico22yesyesclickstrike.com—creator
@angeldot_ · angel22yesyes——creator
@MikuBTC · Miku22yes———creator
@kshenster · Kristina Shen22————investor
@TeslaBoomerMama · AleXandra Merz24————investor
@vivistac · Vivi25yesyes——other
@Nozelcode · roman26yesyes——creator
@marcusyul · marcus26yesyes——founder
@nayakvu · nayakvu27————other
@deveshgupta003 · Devesh Gupta29————other
@Karl_William · Karl-William Nietert31————other
@alifarhat79 · Not Jerome Powell31yesyes——creator
@aresotik · ares. 🎧31yesyes——creator
@karlarboledas · karla32yesyes——creator
@AldaLeuDennis · Alda Leu Dennis36————investor
@WillyB_303 · owen37————creator
@ConsulSarthak · Sarthak Consul39————engineer or researcher
@navneetdalal · Navneet Dalal40————founder
@nick4iezos · Nick Four42————marketing or sales
@westdecker · West Decker43————other
@WeThe_Builders · We The Builders57————media
@Prayag12B · Prayag B60————engineer or researcher
@collabfund · Collab Fund73————investor
@Kazanjy · Peter Kazanjy76————founder
@herbertong · Herbert Ong83————creator
@jokrvivek · vivek98————engineer or researcher
@sidposter · Sid99————engineer or researcher
@aarjav · Aarjav101————founder
@clayul · clay.105yesyes——creator
@mikekalilmfg · Mike Kalil120————creator
@dileeplearning · Dileep George128————engineer or researcher
@brandenflasch · Branden Flasch133————creator
@RishabhJangir · Rishabh Jangir136————engineer or researcher
@huaijiangzhu · huaijiang142————founder
@mahkus · Mahkus148————creator
@DanielleFong · Danielle Fong 🔆150————other
@ReddySuryatej · Suryatej Reddy155————engineer or researcher

What the numbers do not say

These counts show when public quotes of a launch post were posted and by which accounts. They do not show who asked anyone to post, whether money changed hands, or that the quoters acted together.
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