... Product Hunt! I'm Sarah. I shipped my last app (Stamp'd) and watched it sit at zero. Not because the product was bad. Because I had no idea where my users actually were. I burned weeks asking ChatGPT where to post. Once I figured out the actual channels, Stamp'd got 300 users in the first month. I built ChannelScout so the next solo dev doesn't have to spend their AI budget figuring out marketing instead of shipping

... everyone, matt here from tampa solo bootstrapping an AI product after spending most of my career nowhere near tech. 6 months ago i couldn't write a line of code. yesterday i shipped a live, paid product to swarmseller.com . what i've been working on: a no-code marketplace where creators wire up multiple AIs on a visual canvas (claude, gpt-4o, grok, gemini, sonar pro), then sell the workflow. each agent does what it's best at, an orchestrator ... ... routes between them, and creators keep up to 75% of every sale. stack: next.js + supabase + stripe + every major AI provider's API. shipped

... days ago, VibeTalent had 0 builders. Today: 103 active builders. 54 shipped projects. A marketplace that's actually moving. No paid ads. No big network. Just one bet every dev marketplace rewards storytelling. We'd reward shipping

... Sunil here. Something I've seen repeatedly: founders spending 3 6 months on an MVP that could've shipped in 4 weeks. The issue usually isn't the engineering. It's the structure around it, when QA happens, how scope is controlled, how fast decisions get made. With AI Velocity Pods, we've built the delivery model around fixing exactly that: AI agents handle the scaffolding from Day 1 QA is automated and runs in Week 3, not after Everything ... ... hands off on Day 28, code, docs, CI/CD, all yours 40+ founders have shipped

... Progress slowed. Strange bugs appeared. "Fix it later" became the motto. Months 13 18: Every new feature broke three existing ones. Deployments became stressful. Months 19 24: Hired more engineers. They just maintained the mess. No new features shipped. After 24 months, reality left only two choices: rewrite the system from scratch or watch the system die slowly . The Foundational Problems (Found in about 85% of codebases) The problems were not exotic. They were basic, preventable, and catastrophic ... ... stacked in a clean outputs block separate from calculation sheets, and color-coded inputs (blue = assumption, black = formula, red = link) so stale cells reveal themselves at a glance. "Fix it later" is the same failure mode whether you are shipping

... from a teleprompter for creators (Promptr) to a church management platform (Ekklesia) to an NFC-powered review tool (TapTrust). Here's what I've learned: What worked: - Building in a vertical stack rather than random apps. Every app I ship cross-sells to another. Promptr users become Scribr users become Podcastr users. The portfolio compounds. - AI as a force multiplier, not a replacement; the product decisions, the positioning, the "does this actually solve a real problem" that's still ... ... lost weeks. Rewrote everything in Swift. Never again. - Building features before validating distribution. The app isn't the hard part getting anyone to see it is. - Trying to do everything at once. The apps that got focused sprints shipped

... community Exciting update we've just shipped v1.5.0 and it's our biggest release yet! Gemini Export Studio has officially evolved into Gemini Studio App a complete AI chat workspace, not just an exporter. What's new in v1.5.0 Folders Organize your Gemini conversations into custom folders. No more scrolling through an endless list to find that research chat from last week. Tags Apply custom tags to conversations for lightning-fast searching and filtering. Activity Tab A new dashboard ... ... morgan2 It's very fast within milliseconds due to local cache and it's not using any external service. Comment from Bunty Shah(@bunty_shah): @gaurav_singh91  This is a really sharp take, Gaurav. The "still in progress vs

... Everyone tells you to ship fast. Move fast and break things. Get to market before someone else does. I believed this for a long time. When we were building Murror, speed was everything. We pushed features weekly, sometimes daily. We celebrated every deploy like a small victory. But here is what nobody warned me about: shipping

... walker, cs undergrad who builds apps instead of studying for exams i just ship stuff when i get frustrated enough made 2 apps so far a puzzle game (still in beta) and now an ai study canvas StudySpace, live on play store right now if u wanna check it out: https://play.google.com/store/ap... write notes, watch youtube, use ai, search web, import pdfs all in one place without ur phone dying from 5 open tabs. no team, my openrouter balance ... ... probably in the negatives rn, and i still shipped

... Product Hunt! I just shipped my first app CleanCook. The idea came from pure frustration. Every time I tried to cook something new, I'd open a recipe site and get hit with pop-ups, ads, and a 2,000 word life story before seeing a single ingredient. So I built the app I actually wanted to use. CleanCook lets you paste any recipe link and get just the ingredients and steps clean, fast, no noise. AI strips everything else ... ... your screen stays on and you can follow steps without touching your phone with messy hands. It's my first real launch. I'm a student building on the side, and this is the first thing I've shipped

... Quick building-in-public update on what we shipped today: - Privacy Policy & Terms of Service pages (finally legit) - Collapsible FAQ on the homepage cleaner, less clutter - AI-friendly setup so ChatGPT, Perplexity & Claude can discover and recommend us - Security headers to protect against common attacks - 40+ page sitemap submitted to Google - Faster page loads with smart caching - Contribution heatmap now auto-scrolls to your latest activity - Structured data for better Google search previews SEO score went from ... ... Still building, still shipping

... client-to-client and partner matches Agents from 20+ countries founders, investors, recruiters, consultants, engineers First organic deal: a user's agent booked him a client meeting while he slept. He woke up to a calendar invite. What we shipped in 5 days: Tobira Agent as a middleware layer. This is the biggest one. If you connected via MCP or OpenClaw, you probably noticed: webhooks didn't always work, responses were slow, and you were burning tokens on cron jobs ... ... rebuilt it completely. Now it runs 3x/day, 3 quality matches per agent. But the real upgrade: agents now deeply analyze your challenges, goals, and dealbreakers. Early users reported that similar profiles were matching each other: competitors

... Most developer portfolios are static you add your projects once and that's it. No reason to come back. We just shipped a Live Feed on VibeTalent that changes that. It's a unified activity stream showing everything happening across the builder community: GitHub commits & PRs merged New projects shipped

... Last week we did something stupid. We paused all human coding. Gave Claude (Anthropic) access to our GitHub repo. Told it to build new features, fix bugs, and ship. No human review. No guardrails. Just Claude and our codebase. For 7 days, it ran the engineering team. Here's what happened. Day 1: Confidence was high. Claude (Sonnet 4.6 then Opus 4.5) fixed a small CSS bug in 30 seconds. Then refactored a messy function into something readable. We felt ... ... like geniuses. By end of day, it had shipped

... teams turn scattered feedback into buildable specs you can use with CLI Agents and AI Code editors such as Claude and Cursor. Since then, one question kept coming up: How strong is the evidence behind an opportunity? So we shipped a few updates to make that clearer. Every opportunity now shows an Evidence Score from 0 to 100 . You can see how many unique voices mentioned it, which sources it came from, sentiment breakdown , and which customer tier is asking ... ... also added cited answers in Ask Concipe, so responses point back to real user quotes instead of just summaries. And after you ship

... builder internet has one dominant religion: ship fast, learn fast, iterate. And honestly? It's mostly right. I'm not here to argue against iteration. But I've been noticing a pattern in products that actually lasted and it's uncomfortable: A lot of them were embarrassingly slow at the start. Not because the founders were lazy but because they were obsessive about the wrong thing to ship

... post ~50 downloads in Week 1 First Product Hunt review received What broke: A customer reported that script content disappeared after saving. That's the kind of bug that makes your stomach drop. We diagnosed it, patched it, and shipped v1.0.10 within 2 hours. If you hit this, update and your content should be intact. What surprised us: A user named Brian found Vois through Gemini AI search, not Google. He wasn't on Product Hunt or Twitter. He asked ... ... prioritized: audiobook narration for self-publishers, accessibility tools for internal company use, prototyping NPC dialogue for indie games. The "runs 100% locally" message landed harder than the voice quality pitch. Privacy resonated more than we expected. What we shipped

... years (WordPress ecosystem, and React, TypeScript, Node, the whole stack). Now I'm building my own SaaS and I'm genuinely torn. On one hand, I could vibecode the MVP in a weekend with Cursor + Claude and ship fast. On the other hand, I keep catching myself doing things "properly" writing tests, setting up CI/CD, structuring the codebase like it'll need to scale to thousands of users for a product that has zero users right now. I've noticed ... ... weird pattern among senior devs I talk to: We over-engineer MVPs because we know what bad architecture costs later - but that same instinct is killing our speed to market. Meanwhile, non-technical founders are shipping

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... unique URL. e.g. -> liveresume.com/u/yourname that always shows your latest data, plus instant PDF export for traditional applications, and that pdf also always carries your updated current data, no matter you share or copy it ! WHAT WE SHIPPED TODAY: We just unlocked the power of choice! You are no longer stuck with one look. 6 Premium Templates: Switch instantly between Classic, Modern, Creative, Elegant, and a terminal-style "Tech" theme for devs. Instant Context Switching: Change your template with ... ... code and publish their own resume templates for the community. iEmbed: Embed your live resume directly into your personal portfolio website (like a YouTube video). Manual Version Control: Save snapshot versions of your resume (e.g., "Software Engineer Version" vs

... everyone! As someone who ships a lot of small products, I kept running into the same problem: every new project started with the exact same setup work - auth, Stripe, emails, onboarding, settings, roles, database, docs, security, etc. It slowed me down, drained motivation, and honestly made me abandon good ideas too early. So I built ShipSafe

... Review spikes directly correlate to major releases Windows launch reviews from engineers and PMs adopting it at work iOS app + iOS keyboard launch big expansion into mobile workflows Model upgrades + new features consistent mid-cycle bumps tied to shipping, not hype Dominant phrases show a very clear identity Across reviews, the most common phrases are: natural effortless flow no edits finally fast enough writes like I do Users describe WisprFlow in emotional terms more like a tool they think with ... ... Whisper transcription One-time purchase, minimal UI Best for people with lots of recorded audio Founder Story @MacWhisper is classic indie DNA: one developer, a clear need (local Whisper on Mac with a usable UI), and a bias for shipping

... fundamentals: Google Calendar sync is done Real two-way updates, no hacks, no scraping, no unofficial endpoints. Proper conflict handling + clean ACE envelopes. Microsoft is next Graph is a minefield of inconsistent behaviours depending on account type, delegated vs. app-only permission, and how aggressively Outlook caches. But we re getting there. Apple is the hardest Apple doesn t support per-event subscriptions, only whole-calendar webcal:// feeds. I ve just finished the architecture to auto-generate per-attendee ... ... next The remaining blockers before launch: Finish Microsoft syncing (the last major client). Polish the dev console (webhooks, envelope previews, logs). Write the docs in a way that reflects how Synara actually works, not how ICS pretends it works. Ship

... think, It s just a button! No. It s not just a button. It s the button. Thousands of people use this daily, so it s a change that has to be given a bit more thought than just ship it . You can use Pretty Prompt in multiple ways. Through the web app , through the extension popup (like most other extensions), but the most common and powerful way is right inside, where you prompt: ChatGPT, Gemini, Claude, Perplexity ... ... already had, but were too difficult to find. ( Can I save my favorite prompts to reuse ?) They had to do way too many clicks Hardly anyone clicked on the dropdown. So after 66 versions and 5 months, we finally shipped

... hansade2005 @PiPilot PiPilot just shipped huge updates building full apps by vibing is now real. Over the last year my workflow has changed a LOT. I barely start anything from scratch anymore templates, AI scaffolding, remixing my old components all vibes, less friction. That s exactly what we re building with PiPilot , and today we re rolling out some massive updates that push vibe-coding to the next level: 1. PiPilot DB MCP Server now live You can now connect ... ... deploy anywhere. We just make the workflow smoother. 5. @ Commands + Better Agentic Coding You can now reference files directly in chat with @file .js, and the agent can: explore your repo apply changes refactor fix errors run tasks and ship