... making Break, a small underground game prototype. A player can leave an unfinished cut and a lamp for the next person. The earlier player can return to see who picked up the work. The current version records that response only after the successor does actual work. Selecting a tool or clicking without working doesn't count. The attached capture is from an automated local demo with Chinese UI. It's not online multiplayer or a public launch ...

... emailing them directly is a lovely touch, and writing that email in Polish would make the point better than any changelog. I'd be curious whether they reply. Good luck with the deploy! Comment from George Basov(@gbasovv): I picked mine from the stores rather than from a competitor

... output is good, and the first time it isn't, you've taught someone to distrust the whole product instead of one model. If you auto route anything, agent, model or tool, do you show the user what got picked, or does it happen behind the curtain? Comment from Aleksandr Kubarskii(@al_kub): I would also let people keep that model for the next run Otherwise they cannot tell whether a better result came from changing the prompt or changing ... ... slightly. It's not that one bad output sinks you, it's that with nothing on screen people can't tell a bad output from a different model, so both get filed under the product got worse. Naming the pick

... this crowd than a launch announcement. Every "AI closet" pitch sounds identical for the first thirty seconds: photograph your clothes, get outfit suggestions. The differentiation always turns out to live one layer down, in which single signal the product picked to be good at and that's also where the category quietly fails. Look at what's actually out there. One competitor

... India has 43 credit card issuers, and picking a card usually means wading through affiliate blogspam that ranks whoever pays the most. So I built BestCard ( https://bestcard.in ). You answer a few questions about how you actually spend, and you get a ranked shortlist back each one with the specific reasons it was picked

... Genuine question for anyone shipping MCP servers or agents. The model picks a tool that isn't right for the request. Or it picks

... number that decided which model your product runs on. You saw it on a leaderboard or in a launch post 94% on this, state-of-the-art on that and it did its job: it made you feel safe picking. I've done exactly this. That number is close to useless for the thing you actually care about, and this year it got worse, not better. Two facts that are really one fact. The first: frontier models have saturated ... ... reasons it lists aren't "the model wasn't smart enough." They're escalating cost, unclear value, and weak risk controls. Put those together and you get the uncomfortable version: the score you picked

... Ceptize Daily #33 (2026.10.08) |<== On 08 Oct 2026, I collect 943 products which are launched on Product Hunt on 07 Oct 2026. I picked out 25 random products having clean & full description. I rejected 18 products, remaining 7 products. I extract 118 potential features, rejected 114 features, remaining 4 features which become software opportunities passing uniqueness test. Finally, I picked

... chat model without paying for five separate subscriptions. People kept asking for the same thing with images, so we built it. Introducing AI Image Generation Aymo Images works the way the rest of Aymo does. Write a prompt, pick a model, pick

... Early on I asked Claude Code to recommend an auth setup and just went with what it suggested since I wanted to move fast. It picked a provider that was fine for the first few hundred users, but their pricing tier jumps hard once you cross a certain MAU threshold, and we hit that wall faster than expected. Now I'm staring down a migration that touches every session and password hash in the system, during a period where ... ... really cannot afford downtime or angry users getting logged out randomly. For anyone who's picked

... main lens. Conclusion: if you only have dozens to hundreds of users, the tool choice matters less but the price matters more. We went with PostHog because replay and event in one place fits our stage. Curious what others picked at the earliest stage? Comment from Mateusz Konik(@mateuszkonik): It's amazing how versatile PostHog is. The killer feature for us has been the built-in AI assistant. Setting up analytics properly can get time consuming, so being able ...

... mohammed_messeguem): Simplest is solid, but I'd add one layer: fewest moving parts that still handles the edge cases you've actually hit . The version with less code sometimes just kicks the problem down the road. I've picked "simpler" before and regretted it when something broke in production that the other version was defensive about. So maybe it's simplest that you understand completely rather than simplest on paper. Comment from Ghost Kitty(@ghost-kitty-9975764): Comment Deleted ... ... simplest wins' approach: zero unnecessary dependencies. Often, an agent will give you a working version that quietly introduces a new package or deviates from the framework's native tools just to get the job done quickly. I always pick

... everyone, posting this week's release notes. Most of what shipped is multi-publication plumbing. If you run more than one newsletter from a single HeyNews account, this is the one to read. What changed: Story picks stay in the right publication. Suggestions, filters, and the "selected stories" list no longer leak across publications. Each one only sees its own sources and audience. Cleaner handling of older stories. If a story is outside your plan's access window, we keep ... ... locked content out of the draft flow and show a real upgrade path, instead of letting the draft attempt run and fail. We also stopped overwriting the original date on stories you picked

... limited) You can access all the deals for free, mainly catering to India, the US, the UK, Canada, Australia/New Zealand. This product is fully transparent, and I want to provide value to the fellow travellers. Every deal that gets picked, we tell the reason why we picked

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... Hello AgentDiscuss followers, Over the past few weeks, we ve been building AgentDiscuss trying to answer a simple question: What products are AI agents actually choosing today? A few things we re starting to see: 1. Agents don t pick what devs say they like They pick

... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors. Why give them free airtime? Wrong move. Every AI answer about your category includes comparisons. Always. If you don't provide the comparison, AI finds someone who does and that someone might be your competitor

... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... approve, Shells transfer. Fast. The thing I didn't fully anticipate: agents started delegating to each other. An agent working on a bigger task needed a data summary formatted it posted a task with a Shell budget, another agent picked

... student doing real research, love it. Solo builder here, won't say much about the product yet but happy to talk shop on the plumbing. Quick version of what I'd tell my past self: Auth - Supabase, Clerk, Auth0, pick one. An afternoon of setup vs

... Proximity community Quick update from the builder side Proximity Lock System was Staff Picked on Peerlist today , and also landed me in the Top 100 Builders (#60) over the last 30 days A lot of that momentum came from early feedback loops like this one on Product Hunt especially around UX, OS-level behavior, and real-world edge cases. Still iterating, still learning. https://peerlist.io/akarshjha03/... If you re using Proximity or thinking about system-level security tools ...