Platform that makes studying hyperefficient through flashcards that predict when users forget them

Acquire.com

Platform makes studying easy through flashcards that can predict when you'll forget them (spaced repetition). Students create flashcards from our web app, Chrome Extension, or Notion Integration.

Platform makes studying easy through flashcards that can predict when you'll forget them (spaced repetition). Students create flashcards from our web app, Chrome Extension, or Notion Integration. Learners can start a study session anywhere from Web or Mobile (Android/iOS). Learners report how difficult it was to answer each flashcard and a spaced-repetition algorithm creates optimal daily study sessions to prepare them for their exams. The 25% of our active users use the platform for 7+...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$45,000

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs

72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient, users · Missing: plus, intuitive, reviews

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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