... noticed something while using AI for startup research: It's very good at giving me more things to think about . More features. More customer segments. More competitors. More business models. More growth ideas. At some point, more ideas stop being useful. So I've been experimenting with a different prompt: "Which assumption should I test first?" That changes the output. Instead of getting a longer list, I get something closer to a priority: Assumption Customers have this problem often enough ... ... matters If the problem isn't painful, everything built on top of it becomes less important. What I'd need to learn How often the problem occurs, what people do today, and whether they have already paid for an alternative

... caught myself doing this more often than I'd like. Especially when I'm using AI to think through an important decision. Ask ChatGPT something important. Get an answer. Not completely convinced, so ask

... nothing live yet. We're waiting on our first App Store review before anything is actually sellable. Comment from Alex Gidirim(@alex_gidirim): @busmark_w_nika  absolutely! Comment from Alex Gidirim(@alex_gidirim): @busmark_w_nika The behavior-versus-opinion split matches our own beta. Just over 50 installed, about half gave feedback. A couple were developers by chance, and one filed 33 meticulous TestFlight bug reports solo. That kind of thoroughness is a professional habit more than ... ... mainly on LinkedIn, which I think has worked best. One of my biggest learnings was that it s much more effective to talk about the building process and share examples through animated GIFs and product videos, rather than simply asking

... From the very first build, opening Pulse asked for a licence key before it would do anything at all. No demo, no trial, nothing for new users . My reasoning felt principled at the time: a demo is a hole in the thing that asks

... comment on my last thread made me rethink how confirmation should work in AI agents. Someone asked: If I ve approved the same action 20 times, why should the agent keep asking

... been thinking about a product-design problem that seems simple at first, but gets complicated very quickly: When should an AI agent just do the thing and when should it stop and ask for confirmation? The more actions an agent can take, the more useful it becomes. But the more autonomy you give it, the more important trust becomes. I ve started thinking about this less as an AI capability question and more as a combination of risk, reversibility ... ... message. Rename or move a file. Maybe the agent should act, but make the result easy to review or undo. Higher-risk + external Send a message. Delete something. Submit a form. Make a purchase. These feel much more like ask

... usually do exactly that. Sometimes it worked. But occasionally it would make a plausible change without actually understanding what triggered the failure. So I changed the order. Now my first request is: Reproduce the failure before changing anything. I ask the agent to: identify the exact failing scenario reproduce it locally show the expected vs

... Your AI is already smart enough. Give it somewhere to work. Asking AI a question was never the hard part. The hard part is what happens after the answer. However good the draft is, the one pasting the table into the doc, saving the file where it belongs, and sending the email to the client that's still you. Your work is scattered across a dozen tools: some of it in your inbox, some in Notion, some in a folder ... ... overnight, climb through Slack, glance at the calendar an hour gone before any real work starts. Hand the whole routine over. Connectors team up on a single task, and with a schedule attached, you don't even have to ask

... increasingly formed in a chat window, by a model summarizing you to someone who will never see the summary and never know it happened. So the question that actually matters for distribution in 2026 is uncomfortable: when a stranger asks an AI to recommend something in your category, does your product come up and is the description right? Most makers have never checked. Go do it now, genuinely, before you read the rest. Open three assistants, ask

... sharper: approval belongs to the action plus a condition it depends on. Per action alone still goes stale the moment the person walks away, because the action did not change, the world did. Which makes "ask again" the part I would push on. Re-asking

... FitBin is to create an application that requires minimal effort from the user but delivers meaningful, personalized insights by combining food recognition, nutrition analysis, activity data, health information, hydration, sleep, and wellness trends in one platform. Instead of asking users to manually search for every ingredient and enter every serving size, FitBin allows them to take a picture of a meal. The application identifies the visible food items, estimates portion sizes, calculates nutritional values, and presents the results for confirmation ... ... allergy needs a visible warning when a meal may contain a relevant ingredient. FitBin is intended to bridge the gap between basic calorie tracking and practical, personalized nutrition awareness. How FitBin works When a user joins FitBin, the application asks

... they may be perceived as more genuine by potential users. What is your approach to getting positive reviews (social proof) on your 1st product? Comment from Md Khayruzzaman(@md_khayruzzaman): One thing I've learned is don't ask for reviews. Ask

... website. Ninety-three percent. What Actually Happened Here is the short version of why this happened. Google introduced AI Overviews in 2024 and AI Mode in 2025. Both formats answer questions directly inside the search results page. The user asks something, gets a synthesised answer, and often never needs to visit a website. OpenAI launched ChatGPT Search. Perplexity built a full search engine. Microsoft integrated AI into Bing. The result is that people now ask

... Comment from Arnold Oshenye(@oshylabs): @busmark_w_nika   Forums like this one, more than launch pages. A launch is a single day and then the traffic is gone, but a thread that answers a question people are already asking keeps returning them for weeks. Across my products the channel mattered less than whether I turned up with a problem or a pitch. The same point, from the same account, converts completely differently depending on which ... ... Juan Pablo Castro(@juanpablocastro19): I feel this hard , I think about it as: " I'm telling the story of a problem I had and what I did about it. We give useful stuff in public way more than you ask

... launched Mira on Product Hunt today, and the conversations in the comments have been the most interesting part of the whole day. Researchers asked about probe neutrality whether the follow-up questions an AI asks

... small mindset shift has made a big difference for me. Instead of asking: "Is this a good opportunity?" I now ask

... changed. We are building Ranklink. A network of 20,000+ website and blog owners. Not a marketplace. Not a "buy links here" page. A community of people who want their content cited and are willing to cite others. We ask them one question: "What topics are you writing about this quarter?" Then we match them with other owners in the same space. They link to each other. No money changes hands. No "guest post for $200." Just humans helping humans ... ... cited. The backlink industry is stuck in 2018. People still ask

... first year of Murror, we ran surveys, interviews, feature request boards -- the whole playbook. We collected thousands of data points about what people said they wanted. Then we started watching what they actually did. The gap was enormous. Users asked for more customization options. What they actually needed was fewer choices at the right moments. They asked

... When we first built Murror's AI companion, we did what every AI product does -- we made it ask a lot of questions. "How does that make you feel?" "Can you tell me more about that?" "What happened next?" It felt like the right approach. Therapists ask

... report saving 5 10 hours per week on manual asset requests. Why Do Designers Waste Hours on Brand Asset Requests? A developer needs the logo in white. A copywriter wants the exact brand blue hex. A new team member asks where to find the current  brand guidelines . A client wants a link to all the logo files. Each request takes time: opening Figma, digging through Drive folders, re-exporting a file, writing an email. Multiply that across ten clients ... ... accurately, and without interrupting your work. You generate an API key from Sinqlo under  Settings API Keys , then paste it into your AI tool's MCP server settings. That's the entire setup. From that point, whenever you ask

... Product Hunt! I'm launching today, and I've been collecting the questions business owners say they wish they could just ask their own business and get a straight answer. The most common ones I keep hearing: "Did I actually make money last month?" "Where did our cash go?" "Am I spending too much on payroll?" "Are Square sales matching QuickBooks?" "Can I afford to hire one more person?" All of these questions feel quite simple, but in reality these ... ... most common ones you need to spend a lot of time on. Log into multiple platforms, stitch the data together or ask

... When we first launched Murror, the number one feature request was always the same: "Can I talk to the AI?" Users wanted a chatbot. Something they could vent to, ask for advice, get instant feedback from. Every competitor

... saved me. The tests said too. So what I actually want isn't awareness of what it's doing. It's a diff that flags the changes I didn't ask for. Everything I asked

... changed. We are building Ranklink. A network of 20,000+ website and blog owners. Not a marketplace. Not a "buy links here" page. A community of people who want their content cited and are willing to cite others. We ask them one question: "What topics are you writing about this quarter?" Then we match them with other owners in the same space. They link to each other. No money changes hands. No "guest post for $200." Just humans helping humans ... ... cited. The backlink industry is stuck in 2018. People still ask

... Most product teams run surveys. We did too. We'd ask things like "What features would you like to see?" or "How would you rate your experience?" And we'd get perfectly reasonable, perfectly useless answers. The turning point for Murror came when we stopped designing around what people said they wanted and started paying attention to what they were avoiding. Here's what I mean: in our app, users can share stories and reflect on their emotions. We noticed ... ... ones that feel effortless, but the ones that feel meaningful. It's counterintuitive in an industry that worships frictionless experiences. But I think there's a difference between unnecessary friction (bad UX, confusing flows) and necessary friction (moments that ask