... finish onboarding and return, then test the whole signup and payment flow in those languages A translated dashboard is less useful if validation errors and support emails still fall back to English 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 Konstantin Tikhaev(@konstantin_tikhaev): The agent swapped to a weaker model, truncated the schema, and reported zero errors. A bad diff is manageable. The problem is the green checkmark pretending everything ... ... doesn't fix the bad output, but it stops them from thinking your whole product is just breaking down. Comment from Asad M.(@asadmalik901): @al_kub  That's the part we got wrong first. We named 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

... confirmed the myth. Some of it didn't. The gap is bigger than I expected Saturday needs a median of 165 points to break top 5. Thursday needs 235. That's a 70-point gap just from picking a different day. Weekends aren't just easier, they're way less crowded Tuesday averages 30.4 launches a day. Saturday averages 10.7. Fewer competitors

... 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 Xander Wang(@xanderxc_wang): @fabian_maume  Hadn't thought of the GTM filtering. It is genuinely useful, thanks! Comment from Mateusz Konik(@mateuszkonik): It's amazing how versatile PostHog is. The killer feature ...

... assumptions and coupling, is the part that does not show up in a quick read. You end up grading the cover. So the move that saved me the most is pushing the decision upstream. Instead of generate five then pick, I spend the effort on the constraints before generation, the stack we already use, no new dependencies, must be testable, one responsibility, and let the agent produce one version against that bar. Selection after the fact is reviewing, specification before ... ... that differ on everything and force me to referee. Fewer constrained options beats a wider buffet you have to police at 2am. Comment from Abdullah Javaid(@abdullah_javaid3): My filter is close to yours but one step earlier. I pick

... question we get from customers (and occasionally from investors) is why we don't expose a model picker the way Cursor does. The short answer is that we're building for a different user. Cursor's users are developers; picking between GPT-5 and Claude is a meaningful choice they're equipped to make. Our users include CFOs, sales leaders, customer success reps. For them, model choice is friction at best, and at worst a new vector for self-doubt ... ... marketing director second-guessing a revenue number because they're not sure whether they picked

... 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

... website isn't rendering correctly in Firefox, so I'm having a harder time fully checking it out. Would love to chat if you or a member of your team has time in the next few weeks! You can pick a time that works for you here. Comment from Ryan Hendrickson(@ryan_hendrickson): @nseldeib  Love that you've been able to find a co-founder and building out a small team! Agreed, it's pretty hard to beat Stripe ... ... were, especially nowadays. I'm curious about your custom auth; is there a particular reason that you didn't utilize Supabase's auth features? Would love to chat if you've got a moment in the next few weeks; pick

... 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 ...