... Three numbers from it get quoted. Users who saw an AI summary clicked a traditional result in 8% of visits; users who didn't, 15%. Users ended their browsing session 26% of the time with an AI summary present versus 16% without. And the one that should matter most to anyone buying GEO: users clicked a link inside the AI summary itself in 1% of visits. One per cent. That is the click value of the thing the entire optimisation ... ... more often. Just 8% of one- or two-word searches produced one. For searches of ten words or more, 53%. For searches starting with a question word - who, what, when, why - 60%. Sit with that next to the 8%-versus

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... 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 ... ... task myself. Comment from Ozan(@ozandag): @adams_parker  Agreed. Again depends on the email and context I guess. 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 ... ... sounds a lot like what happens whenever a UI hides a state change users actually needed to notice 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 ... ... Comment from Omri Ben-Shoham(@omri_ben_shoham1): The line about not fully trusting the Reddit ads reporting yet stood out. You already have a sales product that's good at telling whether a company/lead is a real fit versus

... 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

... 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

... limited testers. They gave us the first feedbacks for us to make the app better. After we didn't succeeded with a try on LinkedIn, where the feedback was nearly zero, we are on our way to find good alternatives. Hopefully Producthunt will help us and I'am pleased to help you, if you like. Maybe we will make the world of apps a little bit better. Is my first day on this page and we are very excited what ... ... about momentum. Great points you raised! Comment from Abusaid islam said(@abusaid_islam_said): @busmark_w_nika  Haha, absolutely! Coffee is definitely a must-have for launch day And to answer your question yes, 100%. Doing a quick "competitor

... 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

... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor research, validate ideas, and keep my roadmap focused. It removed a lot of the "what should I do next?" moments. Now the challenge is exactly what you mentioned: getting distribution right. Comment from Mincheol kim(@mincheol_kim): @anna_ludwinowski ... ... Kozlo(@wvitalik): I look for the problem/need first. However, note that some products are solving the problem of a bad existing UX and user interface (think about the goal "to manage virtual private servers" and solutions via the terminal VS

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... 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

... 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 Dora Yang(@new_user___1702026e6f946759d1d798a): Since acquisition is still growing, I d avoid treating this as a general growth problem. Losing a few higher-tier ...

... when the agent hits a genuine judgment call, not a failure, who in that 30-person setup ends up being the input, and how does it know? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... 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 Vasileios Tsipas(@vasileiost): @hira_siddiqui1  You never know how many are whiling to pay until you actually get the money ... ... 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