ScoutMRR

ScoutMRR

TrustMRR

Track your competitors' MRR, revenue, and growth with verified data. Create watchlists, monitor trends, and get alerts when startups spike in revenue or go up for sale. Estimate what any SaaS is worth

Track your competitors' MRR, revenue, and growth with verified data. Create watchlists, monitor trends, and get alerts when startups spike in revenue or go up for sale. Estimate what any SaaS is worth in under 60 seconds with our free Valuation Estimator — based on real marketplace data and 11 market factors. Browse exclusive startup deals and connect with the indie hacker community. Sign up free and start scouting.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating1

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
54%54% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: mrr, revenue, saas · Missing: arr, profit, profitable
46%46% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, 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: exclusive · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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