... share what's in it. The part I'm most excited about is the AI Visibility feature. Since search is shifting toward AI answer engines rather than just Google, I built a 6-tab dashboard (Summary, Questions, AI Responses, Competitors, Recommendations, History) that tracks how often a brand gets mentioned when people ask ChatGPT, Claude, Gemini, and Perplexity about a topic. It also compares visibility against competitors

... guesses. Then guesses again. Same model, same bug. The difference is how much the failure told it. The failures that end debugging loops instead of extending them tend to carry four things: a location down to the expression, expected-versus-got with actual values, identifiers specific enough to search for, and fix hints kept separate from the problem statement (a wrong hint is worse than none, because models weight hints heavily). And there's a billing angle. Every extra turn ... ... sends the entire conversation context, so a vague error string quietly becomes one of the more expensive lines you ship it charges you a multiplier on every future debugging session that touches it. What we changed: bare

... narrower than it sounds. The new default, Training and Agent blocked with Search allowed, applies to pages that display ads, and to new domains onboarding. If you run a normal product site with no ad units, that default barely touches you. The change that actually reaches into an existing account is the mixed-purpose reclassification above, and it reaches you only if you have training-blocking switched on. Which, if you're the kind of person who ticks the safe ... ... coverage report is the concrete thing I'm taking from this. Different cadence, different granularity, and I'd have kept staring at coverage waiting for it to say something it structurally can't say. The absent-from-your-logs versus

... BARE : a minimalist chat concept for people fed up with data surveillance, data selling, and operational complexity of current players. We need a minimalist approach for current state of messaging apps Current messaging applications are facing feature bloat, collect data and are becoming less usable with every passing day. Some applications respect privacy to an extend but then they face usability and feature bloat. So far there is no single service that can strike a good balance. We want ... ... service which can provide good balance of privacy and usability while keeping a minimalist approach? A new minimalist chat service with no tracking, no server storage, and no feature bloat. how do you feel about it ? Bare

... Glotier. It answers one question: when a buyer asks ChatGPT or Gemini or Perplexity for the best tool in your category, do you get named, or does your competitor? Most of what I could find in this space either costs about $2,000 a month or quietly makes the numbers up. So I built the cheap honest version, and I have been building it in public. Here is the part that usually gets left out of posts like this ... ... picks the angle it has not used lately, and writes the next one. A source agent that tells you where the answers in your category come from. In ours, Reddit is a source for 57% of them. Directory listings barely

... rather than hold the line forever. A stalled job that took the cautious path is recoverable. A stalled job that just sat there is a support ticket. Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus invariant is the useful thing here and I am taking it. One addition: you cannot separate them by observation, but you can by deliberately violating the constant once. A property that survives a test faking an unattended caller ... ... which is bounded, and cannot fire when nobody started anything. Your last seen sweeper is already the mechanism. It is sweeping into the wrong bucket rather than lacking the signal. Comment from Dale Mooney(@dalemooney): @aadilghani   The gate versus

... rest: Installed, tool-capable models show up as one-click chips in Settings and onboarding. No more hand-typing mistral-nemo:latest and getting it wrong. Picking a chip finishes the whole setup fills the model, quietly completes a bare root URL to /v1 so generation doesn't 404, and saves. Done. A gentle nudge, never a wall hand-type a model the server doesn't announce as tool-capable and you get a hint, not a block. Compose-only ... ... local models entirely. also genuinely nice to see an outside contributor's PR land cleanly into a 12-locale, 97-test codebase without it turning into a mess - says something good about how approachable the project actually is versus

... brought it home. It was yours. It ran on your hardware, it didn't phone anyone, and nobody raised your price at renewal or locked your own files behind an expired card. We gave that up somewhere and barely noticed. There's a monthly fee to take notes now. A monthly fee to edit a PDF. A monthly fee for software already sitting on your hard drive, doing math your machine could do in 1998. I've spent fifteen years ... ... shine through this journey. Comment from Justin Jones(@justin_jones13): @onetimesuite  honestly man, they all sound great. I was thinking about paying for WisperFlow but if you're does the same thing I'd rather just pay $49 vs

... work for big collections. Replaced it with the Jaccard algorithm: it looks at how many shared neighbors two nodes have. If they share a lot of the same connections, they're probably in the same cluster. If they barely share any, they're a bridge between clusters. This finally gives clean, meaningful clusters instead of one giant blob. Graph threshold was lying the code logged one number for the edge cutoff but actually used a completely different one. Fixed ...

... never asked to keep. Deeper IDE cleanup. JetBrains IDEs now cover Application Support caches, logs, and search indexes. Android Studio adds SDK download staging and emulator/system-image cleanup. Plus a new Developer Logs scanner spanning Simulator, Xcode, Docker, Homebrew, VS Code, and Node.js. Xcode & Android go deeper. Component download staging, internal dt.Xcode caches, simulator caches, Gradle daemon logs, and SDK download intermediates. Rust, Go & Flutter. Registry sources, rustup temp files, linter caches, and Dart's analysis server cache ... ... picked up. A proper installer. The .dmg now has a custom DevCleaner-branded background instead of a bare

... Solo builder here, using Cursor + Claude Code as basically my whole engineering team. Six months in I still don't have a good instinct for this: some days I let it just run with a whole feature and barely glance at the diff, other days I'm rereading every line like it's a junior dev's first PR. Right now my rough rule is billing/auth code gets the paranoid review, UI and analytics panels get the "looks fine, ship ... ... head right now which isn't great for consistency. Comment from King Joshua Marcos(@moddy): Honestly just trial and error early on. Let it fully own something low stakes, watched what broke, adjusted from there. The billing/auth vs

... voice need to be at the center of the content. That means running his Instagram and LinkedIn, doing podcasts, filming reels. But his time is mostly eaten up by core business operations across other areas, so there's barely any bandwidth left for personal content Curious how others handle this: Do you (as the founder) create the content yourself, or does a team package it based on your input/briefs? Realistically, how many hours a week does founder-led marketing take ... ... doing it properly, not just checking a box? What have you fully delegated (writing, editing) vs

... liability. Costs: Paying per token is fine for now, but I'm wondering when a dedicated server just becomes cheaper. Control: Not having to worry about external rate limits or downtimes. On the flip side, I know setting up bare metal and maintaining local models adds a ton of operational overhead. n8n is great specifically because we don't have to deal with that right now. For those who have made the jump to a local setup: what was your ... ... when ur per-user API costs exceed the operational overhead of self-hosting. and most of the time that's not where you think it is. n8n + APIs stays competitive longer than it looks. its not necesarily "convenience" vs

... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor research, validate ideas, and keep my roadmap focused. It removed a lot of the "what should I do next?" moments. Now the challenge is exactly what you mentioned: getting distribution right. Comment from Mincheol kim(@mincheol_kim): @anna_ludwinowski ... ... 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

... everyone! I'm Denys, founder of Fudini. I kept noticing we obsess over our own health steps, sleep, what we eat but barely track our pets' until something goes wrong. So I built Fudini: a longevity platform for dogs and cats. It gives each pet a daily wellness score that improves as you log walks, sleep and meals, plus breed-specific tips, honest food scoring (vs

... several custom GPTs and Claude Projects set up. Helps me a lot with competitor research and content writing. - Lovable - I don't have a lot of resources at hand, so if I want a new landing page design or I want to add a feature to our existing product, Lovable makes the execution easy. - SemRUSH / Ahrefs - I am a big content and SEO nerd. What are competitors

... stops being a fact. Sounds like you already know that. Good build. Comment from M. M. Carvalho(@m_m_carvalho): @etiennegarcia  Good call lumping first launches, relaunches and major updates together would skew every benchmark. Separating new vs. relaunch/update is a distinction I'll build in from the start rather than retrofit. Thanks Etienne! Comment from Alexander Vlasov(@vlasoffchess): I really like the shift from rankings to context. For launch planning, the most useful metrics for me would ... ... just global ones. I d want to see things like: Median votes/comments by category, not only top launches How competitive each category is over time Comment-to-vote ratio by category Early traction curves: first 1h, 3h, 6h vs

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... Nobody shares "I used an AI journaling app today." But they do share "I finally understood why that conversation with my mom always goes sideways." Our best acquisition channel turned out to be word-of-mouth from people who barely use the app anymore. They recommend Murror precisely because it helped them move forward and that story is more compelling than any ad. We had to redefine our north star metric. Instead of DAU, we track what we call "resolution ... ... knowing what to measure or compare next? For tools like calculators/checklists, clarity after a short session is the product doing its job. Comment from Shahana Rasheed(@shahana_rasheed): Curious how you handle this with investors specifically. "Our power users barely

... actually for? - can I try it without paying? - what is the fastest first use case? - what happens if the output is not good? - what are the limits or tradeoffs? - what would make someone choose this over the familiar alternative? It keeps the maker from improvising under pressure and makes the comment section more useful for everyone reading later. The best launch comments feel closer to discovery calls than polite thank-you threads. Comment from Vlad Gerasimchuk(@vladsf415): Launching PopBoost ... ... launch coming up shortly and this is exactly the kind of pre-flight checklist I needed. Really appreciate you sharing it, Nika. Comment from Denitsa Pencheva-Valtchanova(@denitsapenchevavaltchanova): You mention a hunter - curious, do you think it brings value Vs

... world changed. Technology changed. Communication changed. But translation? Honestly, it barely changed for decades. Most people still do the same thing today: Open a translator. Type manually. Wait. Copy the result. Check if the translation even makes sense. Send it. Repeat again. And the biggest problem is that it completely breaks natural communication. That s one of the main reasons why I started building VertoX. We re creating a real-time voice translation platform where you simply speak naturally ...

... everyone 4 years ago I barely spoke English. A few days ago I shipped my first SaaS. Proud and nervous at the same time. I'm Galyna. SEO has been my work for years, first as a hobby then as freelance. Because of the war in Ukraine I had to move to another country, learn English from scratch, and figure out what's next. Around the same time AI happened, and building something of my own felt possible ...

... Most devs I talk to are quietly overpaying AWS or GCP. Not by a little but by a lot. We've been building Huddle01 Cloud for a while now and honestly, the pricing difference is wild. Same bare-metal performance, global edge infrastructure with sub-100ms latency, no egress fees, no hidden markups. What's everyone paying for cloud compute right now? Curious if others have found good alternatives

... text. Even the general structure doesn't tell you much, at least for articles where humans were pushed into the same handful of SEO-friendly templates before generative AI became widespread. Comment from Fabrizio Pfannl(@fabriziowexare): Honest answer: AI-vs-human detection is mostly broken now. What still works is detecting whether a piece of writing was edited by someone with an opinion versus

... eigenst ndige Pr senz wirken kann, ist https://der-arkadenhof.at/ . Comment from YekSoon Lok(@ys_askodin): Having operated on both sides of the table as an allocator and a founder, I view this through a different lens. The binary of "personal brand vs. product" is a distraction. The actual prerequisite is Thesis and Positioning . At askOdin, before we wrote a single line of code for our Deterministic Compiler, we established the exact taxonomy of the market. We identified that the last mile ... ... there's probably nothing more efficient than a founder led audience. You're borrowing trust you haven't earned yet as a brand, and that shortcut can be the difference between getting your first 100 users in a week versus