Register and share your invite link to earn from video plays and referrals.

Search results for TechLaunch
TechLaunch community
One keyword maps to one global community path.
Create community
People
Not Found
Tweets including TechLaunch
Big news: Anuma is officially here! 🚀 We're hosting a small gathering this Thursday in San Francisco as we celebrate the launch of Anuma. Come through for light bites, drinks, and a first look at what we’ve been building. 🥂 The details: 📍 San Francisco 📅 Thursday, Apr 30 | 6:30pm ✨ Demos, drinks, & community vibes #Anuma# #TechLaunch# #SFTech# #ArtificialIntelligence# #1HotelSF#
Show more
Our Xiaomi SkyNomad tech launch invitation came with a small gift. Let me show you what's inside and the engineering behind it.
TechCrunch spoke to the MIT computer scientist charged with explaining OpenAI's latest mind-bending discovery
TechCrunch and Arrington Capital founder @arrington on how scary it is to be young today. “I’m really scared for a lot of things right now. And the way I deal with that is not the doomerism... Just get out of your head and live your life.”
Show more
TechCrunch Disrupt 2026 is built around one question: How do you build an enduring company in the AI era? Our programming and speaker lineup reflect that.
TechCrunch Disrupt 2026 takes place October 13-15 in San Francisco. Over 300 startups will show what they’ve built to 10,000 tech leaders. Plus, 250+ speakers are ready to share insights across 200+ sessions. Register before doors open to save up to $100
Show more
TechCrunch Disrupt 2026 is built around one question: How do you build an enduring company in the AI era? Our programming and speaker lineup reflect that.
TechCrunch reported that Encord is working with Zander Labs to test a new physical-AI data pipeline: capturing first-person video and brain-wave signals while humans perform manipulation tasks. This is not about “mind-controlled robots.” The goal is to make training data more informative. Brain signals could help mark intent, error, surprise or cognitive load — context that video alone may miss. Encord’s broader physical-AI data stack also includes in-field collection, teleoperation, multi-sensor data, annotation and deployment feedback. Robots need structured examples of hands, tools, objects, motion, timing and failure cases to learn the physical world.
Show more
TechCrunch Mobility: Uber bets on its former CEO
TechCrunch Disrupt 2026’s new Smart Money Stage explores fintech, payments, AI, and everything between