3 Habits That Help Entrepreneurs Stay Clear-Headed When Everything Goes Wrong
Funding falls through, partners fall ill and disasters strike, so build these three habits now to stay focused when your next crisis hits.
Why the Most Underrated Marketing Skill Is Knowing When to Stop
Marketing technology removed the natural stopping points, and AI is removing what’s left. The businesses that win will be the ones that know when they’ve said enough.
Nexterity wants to automate the hard, dangerous part of pipefitting
The startup’s robot can tighten or loosen four bolts at a time, and it fits in a Pelican case.
Want Happier Customers? Make Your Employees Happy First.
How internal company culture and physical workspace directly impact the bottom line and long-term loyalty.
Bring your co-founder, partner, or colleague and get 50% off a second TechCrunch Disrupt 2026 pass
Buy one pass to TechCrunch Disrupt 2026 and get 50% off a second of the same ticket type. Register before event starts on October 13 at 8 a.m. PT.
PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
Meet Feather, the startup building the ‘Android of robotics’ for developers
Feather is betting on a customizable, $30,000 platform built for software developers.
Should Your AI Business Raise VC? For Most Founders, the Honest Answer Is No. Here’s Why.
Most AI founders are chasing venture capital when the retention data says they shouldn’t.
Would You Pay $249 for a Water Pitcher? These Founders Are Betting You Will.
Rorra founders Brian Keller and Charlie Carlisle just launched a plastic-free water pitcher. The first batch already sold out.
Fake Job Ads Are Everywhere. This Internet Vigilante Has Removed 60,000 of Them.
This 39-year-old job-seeker is hunting down fake job ads and the scammers behind them.
Think Your Smartest Customers Can Spot Fake Content? Our Data Says the Opposite. Here’s What It Means for Your Business.
We ran a 315-person study testing whether people could tell AI edited video from human edited video. The group we expected to be hardest to fool turned out to be the easiest.