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AIdea – AI researches and brainstorms your startup idea

Hacker News

AIdea – AI researches and brainstorms your startup idea

Hi HN, I built Aidea because I was tired of piling up business ideas in random notes without moving forward. With AIdea, you enter a short description of your idea, and the AI returns a structured, research-driven breakdown: • Pitch basics: value prop, unique selling points • Market and competitor analysis (with sources) • Branding/name suggestions • Ways to validate and build an MVP (including recommended tech stacks) • Monetization strategies • User sentiments from Reddit, Quora, and articles • TAM, SAM, SOM estimates and related market trends Link: https://aidea-app.framer.website/ App store link: https://apps.apple.com/us/app/aidea-idea-to-startup/id673774... It’s still early, and I’d love your feedback. Is it helpful? What would make it more valuable to you?

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, user · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
33%33% 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 · Strong signals: apps, way · Missing: mobile apps, ios, personal
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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