标签：#startup

The neolab is betting that automating routine computer tasks will soon outpace coding as AI's biggest use case.

Money has evolved into far more than the cash in your wallet or your bank account. And at TechCrunch Disrupt 2026, we’re devoting an entire stage to that progression.

AI tools have democratized the opportunity to build, shortening the timelines of success and enabling more young people to start successful companies without stepping foot inside a Big Tech company.

TechCrunch Startup Battlefield is coming to Australia — and we're partnering with Stripe to find the country's most exciting early-stage startups.

In the AI-funding frenzy, many startups are raising back-to-back rounds at ever-increasing valuations — but even by those standards, Corgi stands out.

The Series A was led by Battery Ventures, bringing AegisAI total funding to $49 million.

The Media Router is a tool that automatically selects the best image, video, or audio generation model for a request based on whether a developer prioritizes quality, speed or cost.

Imagi announced a $4.5 million seed round, with investors including Brighteye Ventures, Day One Capital, and artist Will.i.am.

Etched, founded by three Harvard dropouts, has created new chips and memory components that speed up inference on any AI model -- no GPUs required, it says.

Volunteer at TechCrunch Disrupt 2026 and get a behind-the-scenes look at how one of the world's biggest startup conferences gets built.

ServiceNow's investment gives BusinessNext a strategic partner to expand its AI-powered banking software globally.

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

a16z Speedrun, Ada Ventures, and Snowball VC have invested in Cascade's $3.5 million seed round.

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

I spent months building an AI agent platform. I launched it on Product Hunt yesterday. Zero signups. The comments were friendly. Three of the four asked for the same thing — not features, not integrations, not a lower price. They wanted to see what the agents did and what they cost . One put it better than my own landing page ever did: they liked that it wasn't "a black box." So I went to make the cost dashboard better. Instead I found out my product had been lying to me for months, and the lies had a pattern. Here's everything, with the code. 1. Every run cost $0.00 The Cost Analytics page reported $0.02 in total across ~100 executions . I'd assumed that meant the platform was cheap to run. It meant the data was being destroyed at write time. cost_cents = int ( ( llm_response . prompt_tokens * 0.5 / 1000 ) + ( llm_response . completion_tokens * 1.5 / 1000 ) ) A typical run on my platform is 56 prompt tokens and 45 completion tokens. That's 0.0843 cents . int() makes it 0 . Not some runs. Essentially every run — because almost every LLM call costs less than one cent. The production numbers: 189 agent runs, 2 with a non-zero cost. 99% of my cost data was zeroes, and the two survivors were just big enough to clear a whole cent. The rates in that formula were correct. I checked them against the providers' pricing pages; the arithmetic is right. The bug is entirely int() on a value that is almost never ≥ 1. A Decimal would have been the textbook fix, but Decimal / float raises TypeError and ~80 call sites do arithmetic on this number, so I widened the column to a float and kept the unit (cents). It's a dashboard estimate, not money — Paddle handles money — so float rounding is irrelevant here. 2. Workflow costs were never recorded at all Truncation at least loses precision. This one lost everything. WorkflowExecution.total_cost_cents and total_tokens_used had no write site anywhere in the codebase . Not a broken write — no write. The columns had been NULL since the feat

Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises.

Synthesia launched AI Roleplay Sessions, an interactive enterprise training platform where employees practice workplace conversations with AI avatars that provide feedback, scoring, and analytics to help companies measure training effectiveness.

Maritime nuclear energy startup Bluecore Energy has raised $10 million in a pre-seed funding round led by Slauson & Co.

The de-extinction startup is looking to double or triple its previous valuation, according to the report.

The one-year-old startup aims to reinvent financial architecture for autonomous AI transactions.