Paste notes, transcripts, changelogs, or commits. Launchpack turns them into Product Hunt copy, social posts, FAQ, a demo script, checklist, and proof-backed receipts. Runs as a free, open-source GitHub Pages app.
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Hey Product Hunt friends,
I built Launchpack because launch prep has a weirdly annoying failure mode: by the time your product is ready, the story is scattered everywhere.
It is in worklogs, meeting notes, changelogs, Git commits, screenshots, customer quotes, and half-written posts. Then launch day arrives and you are staring at a blank Product Hunt form trying to compress weeks of work into a tagline.
Launchpack turns that mess into a structured launch kit.
What it generates:
- Product Hunt tagline and short description.
- Maker first comment.
- Launch FAQ.
- X, LinkedIn, and email drafts.
- 30-second demo script.
- Launch checklist.
- Receipts that connect strong claims back to the source notes.
The receipts are the part I care about most. Generic AI copy is easy. Credible launch copy is harder. If the kit says something bold, I want the maker to see where that claim came from and decide whether it is actually launch-worthy.
The app is intentionally simple:
- Free and open source.
- Runs as a static GitHub Pages app.
- No account.
- No backend.
- Local deterministic fallback by default.
- Optional OpenAI-compatible AI Engine for LM Studio, Ollama, llama.cpp, vLLM, LocalAI, LiteLLM, or your own remote proxy.
- The AI Engine is optional because not every maker wants to send launch notes to a third-party service. You can use the public app, fork it, self-host it, or point it at a local model running on your laptop.
I would love feedback on three things:
1. Would you trust the generated launch kit as a real first draft?
2. Which import should come next: GitHub releases, Notion docs, or meeting transcripts?
3. Does the AI Engine setup feel clear enough for local model users?
Thanks for taking a look. I will be here all day answering questions and shipping fixes.
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