... makers "Why are my emails going to spam?" is a question people now ask ChatGPT instead of Google. Until now, the answer was a generic checklist, because ChatGPT can't read your DNS. This week, mailX went live inside ChatGPT , as a plugin approved by OpenAI. Ask

... minute check for anyone who lets a script, a CI job or an agent run commands in their repository. List the commands that ask before they do something. Then find out what each one does when nobody is there to answer. Mine is the schema migration generator. Its job sounds like writing a file: compare the models against the database and produce a migration for the difference. To compare honestly it needs the database up to date ... ... migration has not been applied yet, it asks

... workloads up to 45% cheaper end to end. That s the serious version of the story, and it s true. Here s the one we d rather tell. One afternoon, we stopped handing Fable 5.1 science problems and started asking it to make things beautiful, faintly useless, entirely delightful things. It built three. Watch first; we ll walk through them underneath. The whole pitch, in one line Anthropic built it to solve frontier science. We asked

... 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

... high-stakes environment gives way clearer product feedback than 50 survey responses. Comment from Ashis Roy(@ashis_roy3): I'd add one column to the feedback notes: did the tester encounter the problem naturally, or only because the test asked them to? For an extension, someone completing a guided task is useful usability feedback, but someone choosing it during their normal work answers a different question. A simple follow-up could be: 'Tell me about the last time you needed ... ... What did you do instead, if you didn't use it?' That also gives non-technical users something concrete to describe without 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

... terminal, which is the same person on a different screen, and on the unattended path it degrades to a deny. Meanwhile the routing table that knows who owns the decision is read when picking who to ask first and never when that first ask

... 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

... like Product Hunt and Reddit (I need to updated it with new reviews). Importantly, everything has a link to the source. Comment from Abusaid islam said(@abusaid_islam_said): Great topic, @busmark_w_nika ! Early on, we found that asking users for feedback right after they achieve a small win with the product works best. Instead of asking

... 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

... build-in-public approach on X is already the right instinct. I'd just make sure the LinkedIn CTA doesn't feel bolted onto a good post if the update itself is worth sharing (a real problem solved), the ask feels earned rather than tacked on. Comment from Deepanshu Garg(@deepanshu_garg9): @busmark_w_nika  Sure concretely, it's stuff like not saying "trusted by teams everywhere" when you have 5 users. I just say what's actually true ... ... sales :) Comment from Shabnam Katoch (@better_shab): Share your process, let value sell itself. Comment from Dhruv Aggarwal(@dhruv_aggarwal5): I think the best way to promote a product without sounding salesy is to give people something useful before asking

... 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

... month that I've been here, I've been noticing a pattern in a lot of launches - strong demos, polished UI, clear outputs of "what it does." But when I ask myself "What problem does this solve?" I sometimes have to dig for the answer. (I come by that thinking honestly - I've spent 33 years building and fixing businesses, so this is the lens I can't turn off.) The products where the problem is obvious are the ones ... ... exactly the right swap! It's the same trap in enterprise IT and in most launches here, just dressed differently (feature list vs

... 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

... explains why rubber-stamping feels so useless, it's asking the human to re-confirm things the agent already knew instead of supplying the one thing it didn't. Here's the wrinkle that follows from your own logic, and it's where I think the real engineering lands: if the agent can't compute blast radius, then it also can't reliably decide when to ask