02Books – An open source web app to teach kids to read

Hacker News

I wanted to share a project that I've been working on designed to help young kids go from reading single words to reading whole books. My husband and I started spending a lot of time teaching our 5-year-old (Alex) to read because our school district is exclusively doing remote learning and I was skeptical that he could learn to read over Zoom. We used flashcards (which Alex found boring) and then combined them into sentences (which Alex found interesting). But the sentence approach requires a lot of arranging pieces of paper and remembering which words you are working on. So I developed 02books for my family and decided to share. You can use it (no account required!) here: https://02books.app/ Github: https://github.com/sofignatova/02books Thanks for letting me share - this my first real open source project! Regards, Sofya

Visit product View on Hacker NewsDec 22, 2020

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: single, open · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: exclusive · Missing: plus, platform, intuitive

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

Correct prediction on native model

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