Celestory

Celestory

Indie Hackers

Create your code-free interactive story #narrativegames

šŸŽ® Code-free interactive story creation tool: https://www.celestory.io/gaming šŸ”± Branching tree 🧩 Simple blocks šŸ‘©ā€šŸ‘©ā€šŸ‘¦ Collaborative sharing šŸ“± App generation on PC/mobile/Web/PWA šŸ“Š Behavior analytics šŸ”Œ Data plug

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community Ā· Strong signals: io Ā· Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue Ā· Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard Ā· Strong signals: code Ā· Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal Ā· Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR Ā· Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers Ā· Missing: web3, chat, crypto
34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience Ā· Strong signals: arr, active Ā· Missing: mrr, revenue, profit
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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