EarningsPrism
Refracting the noise to reveal the signal
To democratise real-time regulatory intelligence — so every investor, regardless of experience or budget, can access the same filing data that institutional desks monitor around the clock.
Visit productView on Indie HackersMar 1, 2026commitment-side-projectemployees-under-10founders-code-yes
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Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
13%13% 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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