... caught the Conversation Radar post, you know the premise: AI engines cite people talking about brands, so we built a radar for those conversations. But there's a second half to AI visibility, and it's the one brands keep asking us about: the content you publish yourself. Here's the honest version. Owned content works harder to earn a citation than third-party content does. We've tracked 13,000+ citations across ChatGPT, Perplexity, Gemini, Copilot, and Claude ...

... building Anotee after watching client feedback get scattered between email, chat and shared review links. The premise is simple: every note should stay attached to the exact timecode and video version it refers to. I am looking for ten editors or small production teams to try the workflow on a real project and tell me where it fails. This is my product, not an independent recommendation. If you use Frame.io , email, WhatsApp, or another tool today: what breaks first when ...

... Serious question with a stupid premise. I've never had a good product idea while sitting at my desk, staring at the screen, trying to have one. They show up in the dumbest places in the shower, on the toilet, or at 3am when I've decided sleeping is the priority. Mine came while I was arguing with an AI writing tool at 2am. It kept giving me citations that looked perfect and pointed to papers that were never published ...

... under-tested areas Build mind maps to understand features and testing flows visually Reuse common testing steps through the Step Library Connect Jira, Confluence, and repositories Choose their preferred AI provider and model using BYOK Run locally or on premises using Docker The Mind Map helps teams break down complex features into clear flows, scenarios, and dependencies. The Step Library helps testers reuse common steps instead of writing the same actions repeatedly across multiple test cases. WardenIQ is free ...

... game job board to make rent, and spend what you earn upgrading your terminal's hardware and software. It's playable now (still very WIP, story included): Click here: datachoose I'd love feedback, specifically: Does the premise, learn embedded by surviving as a broke engineer, actually make you want to try it? What would make you come back after the first lesson? Would something like this be worth paying for eventually, and what would make it feel worth ...

... Large language models are becoming increasingly capable reasoners. They can identify patterns across huge datasets and derive complex conclusions from established premises. But genuine scientific breakthroughs often require something different: reframing the problem and proposing premises

... danger, it acts on a world-model that may have moved. Re-derive is the only honest option: the timeout invalidates the premise, not just the action, so you recompute against reality instead of trusting a plan that's now however-many-minutes stale. That's the fix to the "gate never re-derives its own premise

... Nikki, founder of Growently. I've spent the past several months building a social media scheduler designed specifically for the people who operate on these platforms daily creators and the agencies that manage them. The premise is straightforward: most scheduling tools were architected for a different era and treat short-form video and multi-platform publishing as secondary concerns rather than the core of the product. Growently.com approaches it differently scheduling across TikTok, Instagram, Facebook, YouTube and more, at full ...

... what we removed" is the part I want to pull on, because it seems to cut against itself. Getting B to question A's framing sounds like it needs something added a marker, a nudge, some signal that the premise came from elsewhere. If removing scaffolding was enough, that implies B was already inclined to check and something in the handoff was suppressing it. Which would mean the style scaffolding wasn't just cosmetic. Written in B's own voice ... ... more, not less. The seam you're describing is real but it isn't the expensive one. What actually costs us is model B accepting model A's framing instead of starting fresh, so you get depth on a premise

... weeks of preparation. Building relationships, identifying the right people, becoming visible in the community, preparing the assets, and creating a real outreach network. It is very difficult to do properly from one day to the next. On the men versus women point: I think there may be another distinction behind what Nika is observing. There are many women on Product Hunt and many women who are part of product teams, but very few women who independently launch new products week ... ... single year). I cannot think of many women operating at that frequency. It would be great to see someone emerge and completely prove that observation wrong, though. Comment from Aleksandar Blazhev(@byalexai): I don t fully agree with the premise

... inside your app if they can only feel understood while they're talking to your model you haven't solved loneliness. You've made it more comfortable to stay lonely. You've built a very sophisticated waiting room. The alternative is to design for the exit. Concretely, that means three things. Point users back at real people, not deeper into the app. The most valuable thing an emotional AI can do isn't be a better listener than your friends ... ... honestly the gap between the philosophy and the dashboard isn't a solved thing here it's a fight every planning cycle. there's always a sticky feature that would juice retention and quietly cut against the whole premise

... Glideo's premise is a camera that edits for you: it watches what you do on screen and zooms the way a human editor would. Until now it mostly followed clicks. 0.4.0 teaches it everything between the clicks. It now frames the actual button or field you clicked (read through Accessibility), treats a text selection as one held shot instead of a jump per repaint, frames a menu instead of the tiny X that closes it, zooms where your cursor ...

... Posting something we published this week for anyone here running a SaaS company or a company newsletter. The premise: most SaaS teams ship 15 to 40 meaningful items a quarter and send their full customer list somewhere between zero and two emails explaining any of them. The changelog is complete, accurate, and visited by nobody. The diagnostic in the post is the part worth stealing. Count the items you shipped last quarter that a customer would care about. Count ...

... list, communities, replying to comments, we all know that part). The good stories are always something specific the founder figured out for their own product, like one who spent the week before launch in the forums stress-testing his premise, so by launch day half the commenters already knew the product and had context. If you've launched here more than once, what did you actually change between your launches, and which change made a real difference? Just as useful ...

... stakes place to say them out loud and see what happens. This is something we've been obsessing over to the point that we ended up building something around it. It's called Dvoider , and the whole premise is treating the raw idea itself as something worth putting out there, not just the finished product. There are two parts to it. D Lab is where you post the idea in its rawest form no deck, no pitch ...

... launch on 1st August and genuinely curious whether the community still has love for solo indie developers building non-AI products. I'm launching Curate, a single place to track films, TV and books, which is built on the premise that human taste and curation are more valuable than AI recommendations. The irony of launching this on a platform whose daily rankings are so dominated by AI products is not lost on me Genuine question: do you think an anti ...

... metrics, and ongoing activity, all in one place that updates as you build. The kind of profile that, if a recruiter landed on it, would hold their attention for twenty minutes instead of forty seconds. That is the entire premise. Not where you've worked. What you've built. The Real Answer Is Not Either/Or In 2026, the strongest combination is not resume versus

... ceciliatran): Great topic, and it maps almost exactly onto a problem I live in on the talent side: how do you evaluate a person before there is a track record to point to? A few people here raised execution versus potential, and I would add one thing. The most reliable early signals tend to be the messy ones nobody bothers to measure: how someone talks about a problem they have not solved yet, what they build when ... ... that is relatable to the current product that he/she is working on Comment from Ghost Kitty(@ghost-kitty-9993672): Comment Deleted Comment from Ghost Kitty(@ghost-kitty-9993577): Comment Deleted Comment from Joseph Parker(@joseph_parker3): I like the premise

... Here's a silly app that I created using Vercel called Disaster Day. I planned to submit it to a hackathon but not sure yet. Here is the basic premise of the game. Design an AWS architecture on a strict hourly budget, then defend it against a randomized barrage of escalating disasters. The Cloud World Model simulates every outcome. How long can your stack stay up? I know the game is a bit silly. Try it out. The game uses ...

... trying to solve are: Getting attention in an overcrowded marketing environment Increasing customer engagement instead of just generating impressions Encouraging repeat visits Making promotions more memorable Generating word-of-mouth and referrals Giving small businesses an affordable alternative to constantly buying ads The simplest way I'd describe it: Playistry helps small businesses turn ordinary promotions into interactive customer experiences without adding another advertising expense. https://Playistry.com Comment from Sabber Ahamed(@sabber_ahamed): @anna_ludwinowski   @mincheol ... ... 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

... live on PH Aug 22, so this thread's been good practice at saying it in one paragraph.) Comment from Demetrio Koro(@aktivist): siOsi upload one selfie and it reads your 12-season color type, undertone, gold vs silver, and which hair colors suit you, then grades the actual makeup in the photo (flash cast, oxidation, coverage), which most tools skip. Free, no signup. Built it because every beauty sub has a queue of "what season am I" posts waiting ... ... 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

... everyone! I'm building KAVANA FM AI-powered broadcast automation for radio stations. We serve 500+ stations across China with: On-premise TTS (no cloud dependency) - Real-time AI traffic reports - Smart scheduling and automation - Full broadcast management All running locally on-premise

... button still feels like a human responsibility. Comment from Caleb Jonathan(@caleb_jonathan): @peterz_shu I would rather miss an optimization than send the wrong message. Comment from Fabrizio Pfannl(@fabriziowexare): For me the line is: seconds of cleanup vs. relationship damage. Archiving or starring = reversible. Sending, auto-CC ing, or accepting the wrong meeting = not really reversible. Anthropic frames this well around human approval for higher-stakes tool use: https://docs.anthropic.com/claud... Would you put calendar accepts closer ... ... good first filter. External consequences are the second filter. Comment from Nipun Taneja(@nipuntaneja): The reversibility principle is sharp. I might steal it, honestly. It's the cleanest rule I've seen for where to hand off vs

... last years, I ve worked with teams and leaders on how organizations actually improve not only by adopting tools, but by changing how decisions, feedback loops, and delivery systems work. With VDF AI, we are building an on-premise AI agent platform for enterprises . The focus is on helping organizations use AI safely and practically inside their own environment, especially when they care about: data security and privacy AI governance and traceability private RAG over internal knowledge multi-agent workflows ...

... context delivery system. The indie hackers I've talked to who use AI most effectively have one thing in common: they've figured out how to stop babysitting their tools and just use them. That's the whole premise of AI Context Flow. Your project knowledge lives in one place. Every tool you use pulls from it automatically via MCP. The briefing happens once, not ten times a day. If you're shipping solo or with a tiny team, this ...