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ReadLab – A tiny app to help with reading more

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ReadLab – A tiny app to help with reading more

Every few months I would try to build a habit of reading more but it wouldn't stick. I would pick up books but would lose interest few chapters in. Also tried newspaper subscriptions but a week or two in I wouldn't see articles I'd be that interested in. I'd have to spend time trying to find something to read. This led me to building ReadLab to help with sticking to it. It's really simple but has been helping a ton. It lets you pick a category (Math, history, psychology, etc.) and it gives you an article. It also tracks articles read and day streaks. If this resonates with anyone would encourage you to give it a shot.

Visit productView on Hacker NewsJul 24, 2025
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, tiny · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
25%25% 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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