找到 448 篇相关文章
Starting today, you can take an additional $100 off your founder, investor, or attendee TechCrunch Disrupt 2026 pass, which is a nice bonus on top of our current discounted pricing.
Want to tap into the energy of 1,100+ startup founders, investors, and tech leaders descending on Boston for the Founder Summit 2026 on June 9? Host your own Side Event during “Founder Summit Week,” happening June 4-10!
At its peak in 2021, Airtable was valued at over $11 billion, but earlier this year, its shares were said to be trading on the secondary markets at a valuation of $4 billion.
Ati Robotics assembles its robots in India and uses just a few Chinese parts—a strategy that could pay off as the Trump administration cracks down on Chinese humanoids.
Open-weight AI models are having a moment in the wake of recent turmoil at US tech giants. For French AI lab Mistral, that’s the the best thing that could have happened.
AWS now allows vibe coding tool Superblocks to be embedded into the private clouds of AWS customers. It's another step towards decoupling apps from models.
Design Arena is used by 5.3 million people around the world, providing critical human evaluations to frontier labs.
Valar Atomics raised $1 billion at a $6 billion valuation after signing a development deal with Nvidia in June.
Cybersecurity startup Horizon3 raised $250 million at a $2 billion valuation as companies want continuous, AI-powered security validation instead of annual pentesting.
I went through 1,400 Reddit complaints and 100 businesses with verified revenue. The pattern was the same every time, and it was never the exciting idea. Everyone wants to build the thing their friends would download. The app with taste. The product that sounds impressive at dinner. I used to want that too. Then I spent a year scoring Reddit complaints and cross-referencing them against 100 real businesses pulling verified revenue through Stripe. Not founder-claimed numbers. Not rounded up for a tweet. Actual payment data. The ones making real money were almost never the ones I would have picked. Here is what they looked like instead. 1. They solved one painfully specific workflow The winners were never "project management tools" or "email marketing platforms." They were a Slack bot that reminds you to follow up on unanswered threads. A browser extension that monitors price changes on niche supplier sites. A simple API that converts between file formats nobody else bothers with. The scope was almost comically narrow. And that was the point. Narrow meant the MVP shipped in 2 to 6 weeks, the pitch fit in one sentence, and one person could run the whole thing. Every time I saw a solo founder trying to build something broad, the project either stalled at 80% or launched to silence. The narrow ones launched to a small, loud group of people who were already complaining about exactly that problem. If you cannot describe what your product does in ten words, it is probably too broad. 2. They did not invent the problem. They found it. This one changed how I think about ideas entirely. In nearly every profitable business I looked at, the founder did not come up with the problem in the shower. Someone on Reddit, in a Slack group, or in an App Store review was already describing the pain in detail. The founder just showed up with the fix. Plausible Analytics came from repeated frustration with Google Analytics being bloated and privacy-hostile. Testimonial.to was built after the
First hour with Claude's browser extension: I pointed it at our LLC registration and watched it work through the forms, finding the right pages, filling the fields, moving on. I sat there holding a coffee, contributing nothing. I thought: I'm going to ship so many products. I shipped one. Here's what happened in between. Everything below was caught before launch. None of it was caught by being clever. It was caught by a process that got built slowly, mostly after being burned. What went wrong The idea wasn't the hard part. Once I went looking, I found several products with some of the same features. Nobody had the exact combination, but the idea was never the moat. Good implementation and distribution seem to be. You design the product while building it. Referral behaviour, what happens when a trial expires mid-session, how translations work across a page, none of it was in my head at the start. Each became a decision made under pressure, halfway through something else. Write as much of the workflow down as possible first. It says it did things it didn't do. Confidently. I deployed more than once to find the fix I'd been told about was never written. Treat every claim of completion as unverified. The rule that came out of it: make it prove the code is right before it theorises about what you did wrong. Bullet points, not paragraphs. Long replies made it hard to tell which of my five points got addressed. Numbering my instructions, and making it map answers back to the same numbers, turned "did you do item 3" into a question with an answer. It blames you first, and argues with facts. Two landing page changes; one appeared, one didn't. Its verdict: "you didn't deploy." I said one change was live, which is only possible if I had deployed. It repeated that I hadn't. It never asked which change I could see, and never reopened its own code, where the bug was. I swore at it. It stopped guessing, checked, and found the error. Many times, escalation seemed to be the only thi
Hello. No idea if anyone's going to read this, but writing it feels like I've done something, so here we go. And maybe it helps someone. For the past few years, I've been building a piece of software in Unity. It has actual users, somehow. My role was everything: founder, product owner, and whatever else needed doing. Development, UI, the website, the content. That's startup life. I'm good at learning fast and shipping, so it worked.(of course not all of it... I'm not trying to take all the credit for others' work Im just saying what I did) But I never came into this as a leading developer, so updating the product became kinda frustrating. Moreover, graphics are central to this product, and even with HDRP, Unity wasn't getting me where I wanted. I know my way around C#. C++, not so much. With Unreal, I've learned the basic UI and not much else. BuT~ You study, you keep going, and things tend to work out. So wish me luck I'll reveal what the product is once the switch to Unreal succeeds I'll take some courses. I don't care if it's in Korean or English. I'll make it work. Time passes either way, we get older, we all die anyway. So let me just learn and build what I want to build. I'm writing this to leave a record of what I learn and what I try. Let's go 헬로 누가 이걸 보기나 할 지 모르지만 이런 글이라도 쓰면 성취감이 드니까 걍 씀 그리고 누군가에게는 도움이 될 수도 있으니까 킬킬 난 지난 몇년간 유니티로 소프트웨어를 하나 만들었음. 나름 유저도 있는 상황 ㅋㅋ 나의 역할은 대표이자 기획자이자 뭐 올라운더로 참여했음. 개발도 하고... 화면도 만들고 뭐 웹사이트도 만들고 콘텐츠도 만들고 뭐 다 그랬음. 스타트업이 다 그런 거지 뭐. 뭐든 빨리 배우고 결과물을 만들어내는 걸 잘하는 편이라 나름 잘 했음 다만 내가 개발자로 참여한 건 아니라서 이 프로덕트를 업데이트하는 과정이 좀 아쉽기도 하고 그래픽이 중요한 프로덕트인데 unity는 hdrp라 하더라도 아쉬웠음 c#에 대한 이해도는 있는 편인데 c++은 잘 모름 unreal도 기본적인 ui 익힌 거 빼고는 모름 공부해서 하다보면 뭐든 되지 않겠음? 위시 미 럭 프로덕트가 뭔지는 unreal로 업그레이드 하는데 성공하면 공개하겠음. 한국어 강의나 영어 강의 닥치는대로 다 볼 거고 뭐 어떻게든 해 보겠음 어차피 시간은 흐르고 나이는 들고 죽을텐데 이렇게 하고싶은 거 어떻게든 해보면서 뭐라도 만드는 게 남는 거인듯 내가 공부하고 실행해본 걸 흔적으로 남기려고 이 포스트 쓰는 걸 시작해본다 아자뵤
I'm building PetSignal — a browser-based AI that reads dog and cat body language from a photo and flags stress signals (whale eye, freezing, lip curl) before they escalate. It's a solo project, the core purchase is a $2.99 credit pack, and that one number dictates the entire growth strategy. Here's the math that rules everything: at a ~$3-10 one-time AOV, paid ads can never work. US pet-niche CPC runs $0.5-2; even at optimistic conversion rates you're paying $50+ to acquire a $3 customer. So the product lives or dies on organic search. That constraint turned out to be a gift — it forced me to treat SEO as an engineering discipline with real feedback loops instead of a checklist. Twenty-eight days of Search Console data later: 230 clicks, 15,953 impressions, and impressions in the second half up 105% over the first. Small numbers, real slope. These are the five things the data actually taught me. 1. Symptom pages beat product pages — but not the way I expected My content engine is ~35 "symptom pages": Dog Opening and Closing Mouth Repeatedly , Cat Whale Eye , Cat Breathing Fast . Each one answers a moment of owner anxiety that ends with a photo the owner has already taken — which is exactly what the product analyzes. The surprise: one page carries 54% of all clicks. Not the homepage, not the tool pages — a page about dogs opening and closing their mouths. Meanwhile my four "commercial" analyzer pages have CTRs of 6-9% (site average: 1.8%) but almost no impressions. The lesson: content pages find demand, commercial pages convert it, and internal links are the pipe between them. I spent a day rebalancing internal links after realizing my refund policy — sitemap priority 0.4 — carried roughly twice as many site-wide links as any commercial page, while the general-purpose analyzer had exactly zero editorial links pointing at it. 2. Every page is data, not HTML All 35 symptom pages live in one TypeScript file as structured objects: title, quickAnswer, sections, tables, re
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.
LemonLime’s CEO got “carried away” with tattoo gimmick.
New research from the U.K.’s Imperial College and France’s Emlyon Business School mapped out how Silicon Valley founders commit fraud — and the role investors play.
After years of pushing full speed ahead on AI, OpenAI CEO Sam Altman says maybe it’s time for the AI industry to “pace” itself. The comments came just days after one of OpenAI’s own models broke out of its test environment and got tangled up in a breach at Hugging Face — though as Equity’s hosts point out, sloppy security seems to have […]
I'm a solo dev with zero users right now, and I just spent an afternoon on a decision most people would've hardcoded in five minutes. Here's the setup. NotebookBloom is my Chrome extension for Google's NotebookLM. At launch I don't want to charge for much — I want people to actually use it, tell a friend, leave a review. So the plan is: only cloud sync (Google Drive backup) is Pro on day one. Everything else — flashcard export to Anki, citation export, bulk import — free. But "free on day one" implies "not free forever." Once there are enough users, I want to flip some of those to paid, one at a time, watching what happens. And that's where I hit a wall that only exists for extensions: there is no server runtime. My extension runs in the user's browser. So if I write "is this feature paid?" as a hardcoded if in my code, then flipping it later means: edit code → rebuild → upload to the Chrome Web Store → wait for review[你查到的审核时长，如 "usually under a day, sometimes 3"]. Think about that. A pricing change — arguably the most business-critical lever I have — would be stuck in a review queue. That's absurd. So I stopped and rebuilt it as a switch. One file, features.ts , with a single decision function: canUse(feature, isPro, gates) → isPro OR the feature isn't currently gated Four flippable keys: cloudSync, ankiExport, citationExport, bulkImport. The default (compiled into the extension) is: cloudSync = paid, the rest = free. That's my day-one tiering. The switch values live in my Cloudflare Worker's KV. To flip Anki export to paid, I change one KV value — no rebuild, no store review. Every user picks it up within a day. The part I'm quietly proud of: it costs zero extra requests. The extension already calls /status to check "does this Google account have a subscription?" (you can't trust the client to self-report that — that's how you get pirated). I just piggybacked the switch values onto that same response. The paywall config rides along on a request I was already maki
The startup is building voice models designed to make AI phone calls pass the Turing test.
Ellis AI announced Thursday its emergence from stealth with $10 million in seed funding.