... reason: vibecoding tools, which have made it easier for first-time builders to quickly launch. We have 433 launch tags builders/hunters can use when posting a product, but some of those tags got used a lot . Ten tagged categories had at least 100 launches this quarter: No surprise that Artificial Intelligence was the biggest category of last quarter, growing 46% from the same period last year. AI was paired with just about every other category you could imagine. Just take ... ... Virtual Assistants OpenHuman = Productivity + AI + Open Source Upstream = Productivity + AI + Email Coming in third was the Developer Tools category, which more than doubled its growth from the previous year and saw several very large launches: Kilo Code v7 for VS

... only one using your own product daily, that's actually not nothing! It means YOU have the problem you're solving. The question is whether others share that same problem. What's been your experience with early user feedback vs. actual usage data? Comment from Abusaid islam said(@abusaid_islam_said): For me, it's definitely the mix of respondents and how feedback is collected. Developers and UX designers are great at spotting technical bugs and edge cases, but actual ... ... means anything at all. On the 20 - I'd care less about the count and more about whether anyone comes back without you reminding them. One person opening it a second time on their own is worth more than ten

... Same queue, totally different urgency. Telling those two apart automatically is the piece I don't have clean yet. In your setup, how are you deciding which of the 20 percent is allowed to wait for a window versus which should break into your focus? Comment from Gal Dayan(@galdayan): @aadilghani  same read-only-vs

... were building. Comment from Anna Ludwinowski(@anna_ludwinowski): @austinbuhl  Interesting that you land on problem-first for Salestrics but demo-first as a viewer. Do you think there's a difference between what convinces you to look closer versus what you'd actually put in your own launch copy? And on "most startups" - is there a specific kind of team you picture hitting that per-seat pricing wall, or is it genuinely everyone past a certain size? Comment from ... ... Ludwinowski(@anna_ludwinowski): @picspace  "What changed for the user" instead of "what did I build" is exactly the right swap! It's the same trap in enterprise IT and in most launches here, just dressed differently (feature list vs

... Cursor: coding Supabase: backend and auth Vercel: hosting GitHub: version control Google Search Console: SEO Campix: my own project, camp software, yes I'm biased Comment from Hans Desjarlais(@ismaelyws): Gmail Calendly Claude Code Google Docs & Sheets VS Code Comment from Bill Davis(@billspaced): @nolan_vu  Slack, not because I love it but because everything dies without it. YESSSSSSSSSSSSS Comment from Bill Davis(@billspaced): @riya_pariyar   @benfleming   @asapx  same question... never heard ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... manual, gut-based, and unmeasured, which means the bottleneck didn't disappear, it moved to the one step that's still entirely human and entirely unsystematic. You can generate ten times the output and then rubber-stamp it ten

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... lessons. What stands out is how common this pattern is. Teams assume enterprise is just more features, but it s actually a completely different motion: longer sales cycles, compliance, onboarding, and trust layers. Also love the point about data vs

... more. Comment Analysis Surfaces sentiment trends, common questions, and audience signals from thousands of comments. Useful if you're a creator or doing any kind of research. Smart Search Find the right video across a topic without watching ten of them to figure out which one's actually good. Everything lives inside YouTube. Nothing to configure. Took us a while to get the UX right on that part. We launched today and we're genuinely trying to figure out which ... ... parts people find useful versus

... developer. My "co-founder" is AI. It wrote 90% of the code. Although it was expensive, I used OpenClaw + Codex + Opus. The hardest part wasn't the tech it was staying focused on what actually matters to users vs. what I thought mattered and looked cool lol Happy to hop on a call! Comment from Robert Vassov(@robert_vassov): @ryan_hendrickson  Yea, I specifically developed it because there limited tools to help those who wanted to do their ... ... Streamster. I built FounderFlow after running a software company, a care home, and a cafe at the same time, and the thing that wore me down was never a lack of tools, it was not knowing which of the ten

... back at the roastery or coffee shop, staring at the shelf, no idea if it was this bag of Ethiopian or the other one. And we weren't unusual. Specialty coffee has gone fully mainstream every city has ten roasters now, every office has three people with strong grinder opinions but nobody really had a "system" to keep track of what they liked and what they would buy again. So we built Tamp. Log a bean in 30 seconds. When ... ... would be really grateful for more feedback from the community! https://www.producthunt.com/prod... Comment from Gaurav Singh(@gaurav_singh91): How I found the problem: Built agents for months. They could do everything except answer: "what ads is my competitor

... talk about your brand, then turns those mentions into usable intelligence: who said what, where, with what tone, and how that changes over time. It monitors platforms like ChatGPT, Claude, Gemini, and Perplexity, runs custom prompts at scale, benchmarks competitors, and alerts you when something moves so you can respond fast. In short, Thirdeye shows you the story AI is telling about your brand and helps you steer it. AI assistants and answer engines are fast becoming the front door ... ... distribution is shifting. Either way, the contest is now on the AI surface itself. Thirdeye monitors that surface. New demand hubs are growing. Perplexity has surged to roughly 20+ million MAUs with hundreds of millions of monthly visits and tens

... Yesterday I saw the headline that Perplexity tried to buy Google Chrome for $34.5B . One move and they got free coverage in BBC, NYT, Business Insider, and basically every major tech outlet. That s tens of millions in equivalent PR value without spending it. Just create a news story with a slightly absurd twist and boom, you re front-page material. So I m wondering: what are some other wild tactics you ve seen (or used) to grab attention ... ... Examples that come to mind: Sending a pizza to every journalist in your industry with a QR code on the box leading to your launch page. Renting a billboard in front of your competitor

... future. And in particular in eu/acc's case: draw attention to the problems of Europe and propose practical ways to fix them. eu/acc is a movement to deregulate and save Europe Thousands of people have now crowdsourced tens of thousands of ideas of which the most important ones have now become part of the official eu/acc manifesto on euacc.com And it hasn't just stopped there: eu/acc's ideas are part of Mario Draghi's European Competitiveness report which ... ... stop giant corporations from breaking the law. It's just going to make it easier for them to get away with it or take advantage of consumers and their data. I'd much rather live somewhere with ethical companies versus