Ax

Axonotes – Read it later library with Spaced Repetition

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Axonotes – Read it later library with Spaced Repetition

I've been working on this side project( http://www.axonotes.com ) for some time. It is a read it later library with spaced repetition for enhancing learning and recall. Most of the flash card applications out there force you to turn information in "back/front" form. With Axonotes, my plan is to to make it easier to integrate spaced repetition while you are reading something with minimal overhead. You can also use it as a read-it-later library. Currently, you can save full web pages using the Chrome Extension, organise them in books, annotate important stuff to make cards out of it, and be reminded to review your saved content using spaced repetition algorithm. In future, I plan to support more file formats like pdf, doc etc. Any constructive criticism is deeply appreciated. Thanks for taking a look. Heads up: Currently you need to sign up (Google) and download the chrome extension to start saving full web pages. I realise it is a pain, will work on something that allows easier trials.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, using, notes · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% 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
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