Mindoria

Mindoria

TrustMRR

Mindoria is the learning app I wish existed: real depth in bite-sized chunks, not pop-quiz fluff or paywalled trials. 10 subjects, 7 languages, spaced repetition for retention, and live PvP trivia bec

Mindoria is the learning app I wish existed: real depth in bite-sized chunks, not pop-quiz fluff or paywalled trials. 10 subjects, 7 languages, spaced repetition for retention, and live PvP trivia because learning alone gets boring. Built solo across React Native, Expo, Node.js, and Postgres, Free on Android, fair paid tier, no 7-day trial flips.

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Actual performance

1customers
$6MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d+200.0%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
41%41% 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: exist, io · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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