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FocusBrew A personal productivity Chrome extension

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FocusBrew A personal productivity Chrome extension

Hey I want to share a Chrome extension I originally created for my own use, but decided to launch publicly after friends showed interest. It's called FocusBrew, and it combines three essential productivity tools: 1. Pomodoro timer: Stay focused with customizable work/break intervals 2. Task tracker: Keep your to-dos organized and visible 3. Site blocker: Eliminate distractions by blocking time-wasting websites Why I made FocusBrew: I couldn't find a single extension that combined these features effectively, so I built one for myself. When friends saw me using it and asked for a copy, I realized it might be helpful for others too. Key points about FocusBrew: - It's completely free - Doesn't save any personal data (privacy-focused) - Seamlessly integrates Pomodoro, task tracking, and site blocking - Clean, intuitive interface - Customizable to fit your workflow I'm looking for feedback from fellow productivity enthusiasts to help refine the extension and make it even more useful for the community.

Visit productView on Hacker NewsOct 11, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: single, using · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, 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: created · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
44%44% 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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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