... leadership." Copy, paste, post. Zero lived experience, zero original thought. It's just AI slop in a blazer. AI-written emails to people who matter. Your client can tell. Not because the grammar's off because the warmth is. VS GOOD AI JUDGEMENT Using AI to actually look at what a candidate did. Not keyword-matching a CV pulling apart their portfolio, cross-referencing their claims. You still decide. You just decide better. Using AI to draft, then making ... ... else the judgment is incomplete.. Bad AI judgement would be in many ways probabilistic and assuming.. Comment from Mark Wood(@mark_wood37): Bad judgement can also be using AI for something where the cost of being slightly

... Ernesto, co-founder of Scalari. I ve spent more than 14 years building software, leading engineering teams, working with startups, and helping companies turn technology into actual business results. And somewhere along the way I noticed something slightly absurd: companies have never had more data and somehow it s still surprisingly hard to answer simple business questions. How much are we actually growing? Which customers are really profitable? Why did conversions drop? What should we be worried about next month ... ... business intelligence is another prettier chart. It s software that helps people make better decisions. We re still early. We re building, testing assumptions, talking to users, breaking things, rebuilding them, and discovering that apparently connecting company data is slightly

... After being on Product Hunt for almost 4 years, I ve realised one thing. The vast majority of people launch their product once, and that s it. It gives me a slight feeling that the product might stop existing a few months later. On the other hand, makers who repeatedly launch major updates give me the impression that they re serious about their product s direction. I d probably feel much more comfortable paying for a lifetime deal from them ... ... worth to build a product page throughout the year. Comment from Nika(@busmark_w_nika): @farrukh_ahmed8877  To be honest, each other's launch seemed to me less successfulessful, but I think it was because of very big competitors

... makes a companion app look healthy on a retention dashboard is the loop that regulators now call manipulation. That's the trap. If you optimize an emotional product for time-in-app, you will build something that makes people slightly worse and your metrics slightly

... path taken to it. So, concretely: measure tokens-to-passing-test, report the median and the p90, and treat the gap between them as the real quality signal. A tool with a tight distribution and a slightly worse median beats one with a great median and a fat tail every time on real work. Stephanie's time-to-merge is the same instinct measured in hours instead of tokens, with the advantage that it is already sitting in your ...

... without losing context. Now building Arteza on the same idea for image, video, voice and music. Most of what I've learned this year isn't the fun part. It's context handoff between providers who all format history slightly differently. It's pricing something whose underlying cost moves every few weeks. It's support tickets from people who don't believe the model actually switched, because the tone didn't change enough for them to notice. Two things ... ... answer everything, including the ones where the honest answer is that we still haven't worked it out. Comment from Sabber Ahamed(@sabber_ahamed): @asadmalik901  stamping the model name being the "unpolished" fix is such a clean polish-vs

... brought us users, feedback, and sometimes very direct criticism. We have now started experimenting with Reddit ads, although the early click-through rate looks unusual enough that we are not fully sure we trust the reporting yet. So, a slightly specific request: if you happen to see one of our ads on Reddit, please let me know which subreddit it appeared in. A screenshot would be even more useful. We will keep sharing the numbers as we go, including what ... ... research agents, but since VCs are a much more finite universe than 'all b2b companies', we're able to spend more resources on doing deeper research on each fund and person. This and the sales product do have slightly

... sentence, because there is no final version that removes it. I've started separating launch issues into two groups: Things that would genuinely damage trust or stop someone from using the product. Things that would simply make the product slightly better . Security problems, broken payments, lost data, major onboarding failures, or core features that do not work are real blockers. A nicer animation, another integration, slightly

... rather than hold the line forever. A stalled job that took the cautious path is recoverable. A stalled job that just sat there is a support ticket. Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus invariant is the useful thing here and I am taking it. One addition: you cannot separate them by observation, but you can by deliberately violating the constant once. A property that survives a test faking an unattended caller ... ... only way to say nothing is a value that carries why it was nothing, the careful engineer cannot accidentally write the ambiguous version, because there is not one to write. On your offline finding I would push slightly

... slightly less excited> Hi, I'm Keith and I launch fun things on Fridays I can't recall the original thread but I saw the phrase "eternal september" in a slightly

... Comment from Ozan(@ozandag): @busmark_w_nika   My comment was around the point that the product / landing page / UX has settled a bit. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs favor framing is the most useful line in this whole thread. i caught myself drafting DMs that were basically upvote asks in a nicer outfit. what actually worked was showing up in threads like this one for weeks with nothing ... ... most important thing is to launch as soon as you can and keep iterating to improve, and keep launching Especially with how fast everything is moving with AI, waiting for a perfect time to launch will just let competitors

... compliance is different. It focuses on whether a system meets legal, regulatory, or policy requirements. The question is less "is this safe?" and more "are we meeting the rules we're expected to follow?" AI governance sits in a slightly different place. It's about ownership, visibility, and control. Who can approve an AI workflow? What records exist? Who is responsible when decisions are made? How can a team understand what happened later if something goes wrong? A support agent ...

... ways: The Manual Grind: Spending 10+ hours dragging keyframes in Premiere Pro or After Effects when I should be focusing on the actual product. The AI Route: Burning through incredibly expensive AI video tokens, only to get an unpredictable, slightly creepy result that looks like typical "AI slop." I got so tired of this cycle that I decided to build a third option for founders like us. It s called Fieldora. The concept is dead simple: Strictly zero AI, purely ...

... With all the recent data leaks and state surveillance laws, more people seem to prefer 100% local, on-device compute over cloud-based LLM architectures even if it means working with slightly smaller models. As users or makers, are you consciously choosing on-device alternatives

... what it actually does: It sees your screen and acts on it Not summarizes. Not suggests. Clicks, scrolls, fills forms, and navigates any page, on its own. It builds Google Sheets and Docs from scratch "Make me a competitor pricing table with graphs." It opens the tabs, pulls the data, formats the sheet, builds the charts. You just watch. It runs WhatsApp & Telegram like a personal assistant Broadcast to 50 contacts at once. Send follow-ups with Word docs ... ... attached. Message from your phone, get a finished file back. Nobody else does this. It monitors pages and pushes you alerts Price dropped? Ticket available? Competitor

... open, I started to hesitate. My active vocabulary felt rusty, and I realized I was losing my writing confidence. It brought me to a harsh truth: AI is making us fluent in copy-paste, not in language. The "Pilot" vs. the "Mentor" Problem The real issue with traditional AI tools is that they write instead of you. They take the controls, replace your voice entirely, and fly the plane. Your brain gets zero mental engagement, and you learn absolutely nothing ... ... native speakers: you can write in one language (like English) and receive the grammatical explanations in your native tongue (like French) to accelerate real learning. I m really curious to get your take on this: Have you noticed a slight

... sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page and tracking QA. Checks every URL and pixel fire in the account. 9. Competitor ad monitoring. Scrapes Meta Ad Library, sends me a weekly digest. 10. Anomaly detection and alerting. Spend spikes, CTR drops, conversion dips emails me same day. Most of these took under an hour to build. Some took 20 minutes. The failure mode ... ... emailing CSVs around, this is the move. How this connects to Rankfender We have been building these same workflows into Rankfender. Not as standalone scripts. As native features. RAISA does the anomaly detection and alerting. Spend spikes, citation drops, competitor

... makes me think "cool tech, not sure who needs it." A clear problem with a rough demo still gets my attention, because I can fill in the rest myself. Comment from Ilya Ofliian(@ilyaofliian): This really resonates from a slightly odd angle, because I audit other people's launches for a living, so "what problem does this actually solve" is the lens I can't turn off either. To your question: I look for the problem first, every time ... ... that's a very important distinction. That could also explain why you're attracting more men, who are looking for a real solution vs

... tasks, and approvals work together to get real business work done. That s what we re building. The future is not more tools. It s agent-powered workflows. Comment from Akarsh Hegde(@akarsh_hegde): My five right now: 1. VS Code for building and debugging 2. GitHub for code reviews, issues, and releases 3. Claude for reasoning through implementation decisions 4. Linear for keeping work organized 5. Arc for research and managing the many tabs that come with ... ... together shoot me a DM and I'll add you to the tester list. Worst case we learn something, best case it just works Comment from Dinko Andres(@rocket4ce): Here are my 5 (can't work without them): VS

... days ago, @busmark_w_nika Nika asked a great question here: has there been a launch that inspired you to take your own launch to the next level? It got me thinking about something slightly different. Not just specific launches on Product Hunt, but the founders themselves. Is there a specific entrepreneur, indie hacker, or startup founder who genuinely made you believe you could build something of your own? For me, I was always drawn to what Tibo ... ... ordinary people who were just one or two steps ahead of me. Someone launching their first product, getting their first paying customer, sharing their first $100 online. Billion-dollar founders make entrepreneurship look possible in theory. People who are slightly

... Gemini, since more buying decisions now start there instead of traditional search. If you want to see how an AI agent currently reads your own site, we put out a free tool that shows what an AI fetches vs. what humans see: https://axp.thepublive.com/audit... . Would genuinely welcome feedback from this crowd! Comment from Ghost Kitty(@ghost-kitty-10181680): Comment Deleted Comment from Craig Atkins(@craig_atkins): Hey @nolan_vu - I've built AI Risks - a risk and opportunity scoring ... ... made them succeed or fail? For those who've sold into small/mid-sized businesses, what's usually the biggest blocker to adoption price, integration effort, or something else? Is there a feature here that seems like a "nice to have" versus

... After months of growth in @ViralSort , MRR now looks stable and has started slightly declining. Have you faced this stage before? What did you do to restart growth? Improve retention? Launch new features? Increase marketing? Change pricing? Focus more on sales? Would love to learn from founders who went through this phase. Comment from B ra eker(@busra_seker1): I'd first try to understand whether the drop is coming from retention, acquisition or pricing before changing too many things ...

... given the seven other things in your module." The model is pattern-matching to the average codebase and you need the decision that fits your codebase, and those diverge precisely on the judgment calls that compound, a slightly-wrong name or a slightly

... internet. Your context stays with you, reusable on every platform, and grows with you as you browse through the internet or from within AI Chats. Proud of the path. Even prouder of staying on it. With a slightly deranged and obsessed team. What's a conviction you held onto that the market eventually caught up to? Comment from hira siddiqui(@hira_siddiqui1): @vasileiost  you are so right. Either you can be another product solving the same problem ... ... really sure if the market would shift but I'm not complaining that it did :D We just thought we'd build something and open source it if nobody pays for it. But we wanted to put this alternative

... Most AI provenance tools focus on parsing model output, but the failure mode I keep seeing is simpler: one layer says one thing, another layer says something slightly different, and users lose trust fast. In LineageLens, that meant fixing things like fresh-install auth redirects, Lite-mode 403 handling, workspace shape mismatches, and swallowed ingest warnings. At that point the product problem is no longer can we capture AI code? but can every surface tell the same story ... ... Jeffers(@jim_jeffers): I d treat contract drift as a product bug, especially for provenance tools. The whole promise is you can trust the chain of custody. If the parser, UI, auth state, export, and docs each imply a slightly