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CreateMVP.app – First open-source tool to generate MVP specs for LLMs

Hacker News

CreateMVP.app – First open-source tool to generate MVP specs for LLMs

What the Platform Delivers: AI Plan Generator – Accepts a short requirements brief or a PDF; outputs a complete implementation bundle (technical spec, architecture, user‑flow diagram links, task breakdown, and a polished PRD). Multimodel Chat Console – One pane to converse with GPT‑4o, Claude 3, Gemini 1.5 Flash and other public as well as open source large models, keys stay local. AI Tool Comparison Hub – Curated cards for 100 + dev‑centric AI tools to accelerate due‑diligence. MCP Servers & Rule Packs – One‑click copies of community‑maintained server endpoints plus Cursor & Windsurf rules to supercharge IDE workflows. Open‑source PRD Creator – Apache‑licensed codebase; self‑host or fork without restrictions.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, model · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus, platform, host · Missing: intuitive, reviews, exclusive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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