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Mathy – Build Math Automaticity

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Mathy – Build Math Automaticity

Mathy is a free tool I made to build math automaticity. If you think of something like Anki for drilling problems/formulas, it's like that but built for math and more convenient: no creating your own cards, it works well on mobile and helps track your progress over time. It uses FSRS for scheduling and includes over 40,000 problems ranging from 1st grade math through university level math, all deterministically verified. It also has levels and dozens of badges you can earn to keep it engaging. You can use it via the iOS app or the web app. The iOS app is free and completely offline aside from optionally sending feedback/requesting help in app. In the web version progress is stored locally in IndexedDB, except in challenge mode where you can optionally submit initials to the leaderboard. I still use Math Academy to learn math (highly recommended), but as I'm learning more advanced math to support my journey into AI and robotics I wanted to try and raise my own ceiling by building automaticity in stuff I already learned. The idea is a little counterintuitive: if Mathy works, you should eventually need it less. Because as something becomes automatic, its recommended reviews can move farther apart thanks to FSRS. Edit: More about how I made it here https://gmays.com/making-math-automatic-with-mathy/

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
78%78% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, 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: intuitive, reviews · Missing: plus, platform, host
44%44% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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