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I made a workspace for founders to manage and validate startup ideas

Hacker News

I made a workspace for founders to manage and validate startup ideas

After struggling to manage my growing backlog of startup ideas in various notes apps and spreadsheets, I built TheLeanIncubator - a dedicated workspace for founders to store, track, and validate their startup ideas. It's built with Node.js/React and implements lean startup methodology into the workflow. Currently supports: Kanban-style idea management Validation milestone tracking Customer interview documentation Automated progress tracking Link: https://theleanincubator.com The tech stack: Frontend: React with Typescript Backend: Node.js Database: PostgreSQL Auth: Next-Auth Hosting: Vercel This is very much a v0.1. I'm using it daily to manage my own startup ideas and would love feedback from other founders/makers. All data is stored securely and can be exported anytime. What I'm particularly interested in: How do you currently manage your startup ideas? What validation frameworks do you follow? What features would make this truly useful for you? Currently in private beta but happy to provide access to HN community members - just email me at adam@viralvisions.live.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
85%85% 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: apps, email, using · Missing: mac, agents, macos
73%73% 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: ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal
25%25% 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
12%12% 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.

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