... daily leaderboard last Friday. Huge thanks to everyone who supported our launch. Now that the intense launch phase is behind us, it s time for some fun . They say nobody reads Microsoft Store descriptions anymore and they are probably right. So instead of a standard update, I hid a highly creative, clever secret message directly inside the app. I wanted to create a genuine challenge for this community, so you will need plenty of curiosity, creativity, and a keen ... ... secret, your curiosity will be rewarded. As a reminder, there are still 100 free 14-day Business Pass codes available in our Product Hunt Maker Comment , and another 100 codes waiting at the very end of our Microsoft Store description

... small reminder product with an MCP server, so AI agents can create reminders on a user's behalf. Two things I learned this week that I did not expect, and I would like to hear yours. 1. The description is the behaviour. My create tool said to lead with a phone call because it is the channel that gets attention. So every reminder the test agent created started with a call, even "email me the invoice on Friday". Calls ... ... also the most expensive channel. I rewrote the description

... that isn't right for the request. Or it picks the right one and fills a parameter with something you never anticipated. What's your actual process for fixing that? Options I've seen people reach for: - Rewrite the description and hope. Cheap, but you're guessing at what confused it and you can't tell whether the rewrite helped. - Add logging in the handler. Works, but only shows what happened after the model chose. You never see the tool ... ... schemas: I read the tool definitions of 4,951 public MCP servers, and 17.4% of tools contain no word distinguishing them from a sibling tool on the same server. In those cases the model has nothing in the descriptions

... Product Hunt community! When optimizing pages for search engines, writing great titles and meta descriptions is only half the battle. If a title exceeds Google s pixel limits, it gets truncated with an ellipsis (...), which can harm organic click-through rates (CTR). To help SEOs and webmasters preview exactly how their snippets will look on both Desktop and Mobile search results, I vibe-coded a fast, browser-based SERP Preview Tool . Key features & capabilities: Pixel Width & Character Tracking ... ... Calculates title pixel widths in real-time to prevent unwanted truncation on Google SERPs. Desktop vs

... summary and never know it happened. So the question that actually matters for distribution in 2026 is uncomfortable: when a stranger asks an AI to recommend something in your category, does your product come up and is the description right? Most makers have never checked. Go do it now, genuinely, before you read the rest. Open three assistants, ask the question your ideal customer would ask, and read what comes back about you. It's one of those exercises that ... ... close: an AI describing something with total confidence and getting it subtly wrong. The scariest version of this shift isn't being left out of the answer it's being in it, described inaccurately, to someone who trusts the description

... nothing, the reviewer's normal experience becomes an empty screen, and empty screens train people to expect empty. Whether the one that is not empty gets read properly on day forty is an open question. It still beats the alternative, because a difference against a background of silence is about as salient as anything gets. And yes to the small pile. Most of what gets called judgement is work nobody has bothered to make mechanical yet. Comment from Tiffany Trboyevich ... ... agent to tool. Nothing gates agent to agent. Subagent output lands in the orchestrator's context as trusted text, no provenance, no review, and that is the surface this found. On gates you are half right. One showing a description

... Product Hunt Submission Draft ## Product Name remote-browser.dev ## Tagline A remote headed browser for agentic UI testing ## Short Description Build an agentic UI test harness that lets local coding agents drive a visible remote browser, collect screenshots, judge UI expectations, and produce repeatable test reports. ## Article / Maker Comment ### Building an Agentic UI Test Harness with a Remote Headed Browser Modern UI testing is changing. Traditional end-to-end tests are usually written as deterministic scripts: click this selector, fill that field ... ... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs

... server directory it indexes 20K+ servers and scores how well AI agents can actually use each one) tested ours on both of its surfaces: Server scorecard: A license A quality B maintenance Tool-definition quality: A, 4.4/5 tool descriptions averaging 4.5/5 across all 39 tools What made it actually useful, not just a badge: the first test came back 3.9 with a per-axis breakdown showing exactly which tools were weak. We rewrote every tool description

... Spent years in Amazon KDP self-publishing and always hated writing book descriptions from scratch. So I built PublishAI you enter your book topic, pick a genre, add keywords, and get a full book description

... upvote what resonates. Comment from Gaurav Singh(@gaurav_singh91): Building: adextract - one MCP server that connects AI agents to ad libraries (Meta, TikTok, LinkedIn, and more) For: Claude power users and AI agent builders who need programmatic access to competitor ad data Hardest part right now: Every ad library is a different silo with no API. The scrapers that exist break on every DOM change. Making a single endpoint that survives layout shifts across four platforms while returning clean structured ... ... Natural language on top of financial data is exactly where AI actually adds value vs

... everyone We built OpenCut AI because we were tired of video editors that phone home. CapCut sends data to ByteDance. Descript uploads everything to AWS. Runway is cloud-only and credits-based. We wanted an editor that stays on your hardware. Here's what you get: AI that runs locally: - Edit video by editing the transcript delete a sentence, the timeline cuts itself - Clone any voice from a 6-second sample - Remove filler words and silences in one click - Generate ... ... clips - Audio effects chain (EQ, compressor, reverb, de-esser, limiter) - LUFS loudness normalization for YouTube/Spotify/podcasts - Beat detection with snap-to-beat - Batch export with 8 platform presets 30+ languages including 22 Indian languages via Sarvam AI unmatched by any competitor

... Every brief, doc, and launch plan lives here N71 - A memory and context layer we're building, so agents can easily understand what I'm working Granola - meeting notes  Descript - so good for video editing Comment from Liam H(@lcrh1883): Directory Opus - Windows M365 / Proton - Email / Office VS

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... export them directly in YouTube's `MM:SS Title` format: ``` 0:00 Introduction 1:23 Why Privacy Matters 3:45 How to Self-Host 7:12 Q&A ``` One click copies to clipboard. Also generates a full YouTube description with your suggested title, description

... Blockchain integration every checkpoint and rescue operation written on-chain, tamper-proof, legally significant How we re funding it: We re raising pre-seed ($150 200k) and accept crypto sponsorships at userkeeper.help sponsors get their logo, link, and business description on the homepage permanently. Why now: CEE and Caucasus regions have weak emergency infrastructure. Georgia, Ukraine, Poland hundreds of millions of people with no reliable civilian safety layer. We re building it. Pilot proposal submitted to the Digital Governance Agency ... ... website: userkeeper.help We built a simple but honest funding model for the community: Businesses and individuals can sponsor UserKeeper development with crypto donations (USDT and other currencies accepted). In return, every sponsor gets their logo, business link, and description

... works on PRs and Issues too and it's bound to Enter , the universal TUI gesture for "go deeper". What you get when you press Enter on a row: PRs state chip (Open / Draft / Merged / Closed), markdown-rendered description, reviewers (requested + completed), checks summary, files changed, recent commits, labels, curated timeline. Issues state chip, markdown-rendered description

... pistol, not a distribution strategy. What I focused on this week: 1. Directory submissions AlternativeTo, SaaSHub, and a few others. Each one takes longer than you'd think to do properly. 2. SEO cleanup tightening title tags and meta descriptions on individual tool pages so they can rank for queries like "compress PDF online free". 3. Small UX fixes from user feedback mostly mobile issues and missing tool descriptions

... didn t plan to build a Shopify app. I just got tired of doing the same thing over and over again: Taking messy supplier data cleaning it writing titles descriptions SEO variants SKUs for every single product. It s not hard work, it s just repetitive in a way that drains you. So I built Filleo. You paste raw product info (literally anything CSV, notes, supplier text), and it turns it into a complete Shopify draft in seconds. Titles. Descriptions

... agents and forgetting manual Git commits during rapid iterations. Git is great for milestones, but it fails as a real-time safety net. So, I built LocalHub . It s a 100% local, background version control system that runs inside VS Code. Here are the core facts about the architecture: 7 Smart Triggers: It automatically snapshots files on save, tab switch, editing pause, focus loss, and external changes. No git add or git commit needed. Agent Diary (AI Protection): It logs ... ... Recovery: We built dedicated trash bins for everything deleted files, "Zombie Branches", and even rejected code blocks. You can restore any dropped line of code at any time. Time Machine Groups: It auto-groups related changes and generates AI descriptions

... possibly preparing for marketing my own tool (a Chrome extension) and collect the activities I can use for future visibility and possible purchases. Right now, I am thinking about basics: SEO within the plugin (name, description, description

... days. Most people don't have a system that helps them last that long and they quit before the odds turn in their favour. What Job Notebook does: Import & Track Chrome sidebar extension to import job descriptions directly. Kanban view to manage every application by stage (Applied Screened Interviewing Offer). Skill Intelligence Automatic analysis of your profile vs

... 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

... Name: 8x8 Tagline: The AI-powered Web3 ecosystem for crypto trading, staking, and next-gen utility Short Description: 8x8 is a fully automated Web3 ecosystem combining AI-driven crypto trading, staking, mining, NFTs, gaming, streaming, marketplaces, and more. Built for millisecond-level tracking, 8x8 empowers users to trade, stake, and interact with crypto assets 24/7, while AI self-optimizes, learns, and adapts to improve strategies. Users can vote on features, request new tools, and earn rewards bridging utility, gaming ...

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... article URL, podcast RSS feed, or paste a transcript directly. Munch extracts the content and Claude AI generates 8 pieces of content simultaneously: 1. LinkedIn Post 2. X Thread 3. Newsletter Section 4. Carousel Slide Guide 5. YouTube Description