标签：#startup

The cybersecurity company is nearing a $300 million round led by Evolution Equity Partners.

Layup Parts co-founder Zack Eakin has drawn on a motorsports background, and his experience working for Palmer Luckey and Elon Musk, to tackle making faster, cheaper, and better composites.

Another fusion startup has raised another a massive round to make this type of power a reality.

In the social event planner’s first major move toward monetization, Partiful is getting ticketing directly in the app.

Board, the startup building what it calls "together tech" designed to bring people into the same room, has closed a Series A led by Union Square Ventures.

The global AI race is often framed as a battle between the United States and China. But at VivaTech, Europe is expected to make the case for an entirely different model.

The global AI race is often framed as a battle between the United States and China. But at VivaTech, Europe is expected to make the case for an entirely different model.

Every founder who applies to Startup Battlefield wants the same thing: the Disrupt Main Stage. Here’s how to get there and why the opportunity starts well before the main stage.

In a wild ride for 22-year-old founder and CEO Ethan Thornton, Mach Industries has raised another $300 million. It already has five autonomous vehicles in development and completed a major acquisition.

We wanted to show you what happens after the confetti falls. We checked in with some of our recent alumni, many of whom have sat down with us on Build Mode: The Founder Survival Guide, TechCrunch's podcast for founders at every stage.

The British fintech has built a waitlist of about 450,000 users in India as it prepares for a broader launch.

Hey everyone 👋 I'm exploring ideas for an AI-powered developer tool, but before building anything, I want to understand the real problems developers face every day. There are already plenty of tools that generate code. What I'm interested in is everything around coding: Debugging Code reviews Technical debt Documentation Dependency upgrades Testing Deployment Architecture decisions Learning large codebases I'd love to hear from you: A few questions: What's the most frustrating part of your workflow? What task takes more time than it should? What's something you wish AI could do for you today? Have current AI tools (ChatGPT, Claude, Cursor, Copilot, Gemini, etc.) failed you in any important way? If you could eliminate one developer headache forever, what would it be? I've also created a short 2-minute survey: 🔗 https://docs.google.com/forms/d/e/1FAIpQLSf1M5d2y-0RXEIhrbDBtS5gC900YuzWl43cJCxGUrU38MyeDQ/viewform?usp=publish-editor I'll happily share the survey results and key findings with the community once I collect enough responses. Thanks in advance for any feedback!

I run Sola, a travel app for people who move differently from the traveller the industry was built for. While building it, I kept hitting the same wall. The data I wanted to query did not exist. Not because nobody collected it, but because the schema underneath the whole industry never had a field for it. So on 27 May 2026 I sat down and audited Booking.com. The homepage form, the currency selector, a Bangkok search results page. I wrote down what it accepts and what it refuses. Then I looked at the new AI travel agents shipping on top of it. Here is what I found, and why it matters to anyone building in this space right now. The form is the spec Booking.com's homepage search bar accepts exactly four inputs: A destination, as a single text field A check-in date and check-out date, as one range An occupancy counter, defaulting to "2 adults · 0 children · 1 room" A search button That is the spec. An online travel agency (OTA) is a CRUD app over this spec, and Expedia, Agoda, and Hotels.com run the same four fields. Airbnb lets you skip the dates. The destination stays a single field everywhere. Think about what a spec encodes. The default occupancy is a couple. Not a solo traveller, not a parent with one child, not three generations, not seven people eating from one host's kitchen. The form cannot accept a circuit ("Bangkok, then Hanoi, then Jakarta" forces three separate searches). It cannot accept an open date ("October, not sure which week"). It has no field for the part of a trip where you sleep at family but spend money in restaurants. When you fill that form, you have not searched. You have submitted to a schema. Most of the world's travellers fail the schema before they fail the search. The data receipts I am a builder, so I went for counts, not adjectives. Everything below rendered on the platform on 27 May 2026. Currencies: 52 offered, about 180 in circulation. Eight currencies sit featured at the top of the dropdown. On the day I ran it the order was EUR, US

The startup has apparently taken down the ads using KC Green's "This is fine" meme.

On the latest episode of Equity, we debate whether tech CEOs are "uniquely prone to AI psychosis."

Speaking to TechCrunch, Crunchbase’s head of research Gené Teare, said the factors holding back Black founders include “access to networks, relationships, and early introductions."

A group of 20 Snap alumni has come together to launch a fund called Ghost Angels to back the next generation of social media.

Last week a company nobody can name spent $500 million in a single month on Anthropic's Claude API. Not $500K. Not $5M. Half a billion dollars. In one month. Because nobody set a spending limit. Uber burned through its entire 2026 AI coding budget by April . Four months into the year, done. Microsoft quietly cancelled its internal Claude Code licenses and told engineers to go back to GitHub Copilot. All three stories broke within days of each other, and they all point to the same thing. Token-based billing, when given to an ungoverned team, is a financial weapon pointed at your own company. Every prompt, every context window, every agentic loop gets billed. An engineer running Claude Code seriously can rack up $500 to $2,000 a month just by doing their job well. The answer is not stricter policies. The answer is owning the infrastructure and making tokens free. This article breaks down exactly how to do that for a 100-person engineering team for under $1 million, with real 2026 hardware prices and honest tradeoffs. The Root Problem: You Are Renting the Meter When your team uses Claude Code or any external AI API, you do not own anything. You rent compute by the token. The model is not yours. The data leaves your building on every single request. The bill scales with how well your engineers actually use the tool. That last part is the trap. The better your engineers get at using AI, the more it costs you. Uber's Claude Code adoption jumped from 32% to 84% of their 5,000-person engineering org. That is a success story that turned into a budget crisis. Owning the infrastructure flips this completely. The better your engineers get at using AI, the more value you extract from hardware you already paid for. The Solution: Private On-Premise AI The setup is straightforward: Buy GPU server hardware once Download a state-of-the-art open-source model (free) Run an inference server that speaks the OpenAI API format Point Claude Code, Cursor, or any agent at your local endpoint

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.