Product Hunt launches flop and makers don't know why
Problem Breakdown
Founders spend three months building, then launch on Product Hunt and rank #30. A hundred visitors, two signups, and no idea what went wrong. Was it the tagline, the thumbnail, the launch hour, the lack of an existing audience?
There is no way to study past launches properly. Makers try to manually browse dozens of launched products, guess what the winners did differently, and apply superstitions: launch at 12:01 AM PT, get a hunter with followers, beg friends for upvotes at midnight.
Meanwhile the launch itself requires coordinating a dozen moving pieces: assets, tagline, first comment, outreach to supporters. Most makers improvise all of it and lose their one big shot.
Solution Architecture
Build a Product Hunt launch copilot. It ingests historical launch data (rank, upvotes, comments, taglines, makers' audience size) and shows the maker comparable launches in their category: what the winners' pages looked like, when they launched, how big their pre-launch audience was.
The copilot then runs the launch as a checklist: it drafts and scores taglines, generates thumbnail and gallery briefs, writes the first comment, schedules supporter outreach before launch day, and posts a launch-day runbook hour by hour.
Your Build Prompt
You are an experienced full-stack developer. Build a complete, working version of the following tool. Do not ask questions, do not leave placeholders, do not write TODOs. Make real, working code that runs on the first try. TOOL: Product Hunt launches flop and makers don't know why WHAT IT MUST DO: Build a Product Hunt launch copilot. It ingests historical launch data (rank, upvotes, comments, taglines, makers' audience size) and shows the maker comparable launches in their category: what the winners' pages looked like, when they launched, how big their pre-launch audience was. CORE FEATURES TO BUILD: 1. Import historical Product Hunt launches via the API with rank, votes, and metadata 2. A comparable-launch finder: show similar products and how their launches went 3. A tagline scorer that rates clarity and curiosity against past winning taglines 4. An asset brief generator for thumbnails and gallery images 5. A pre-launch checklist with supporter outreach templates and scheduling 6. A launch-day runbook with an hour-by-hour timeline and reminders TECH STACK: Next.js, TypeScript, Product Hunt API, OpenAI API, PostgreSQL RULES: - Use strict TypeScript everywhere. Define proper types and interfaces. No any. - Validate all user input with a schema library (Zod or equivalent). - Handle errors cleanly: show a clear message to the user, log the detail for the developer. - Handle loading and empty states in every view. - Make it fully responsive: mobile, tablet, and desktop. - Keep the design clean and professional: clear typography, good spacing, real icons (Lucide), smooth hover states. SETUP: Start from a fresh Next.js (App Router) TypeScript project and build the features above one by one, verifying each runs before moving to the next. Finish with a short summary of what was built and how to run it.
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