Tab Sync Pro – Automatically organize browser tabs by domain

Hacker News

Hi HN! I built Tab Sync Pro to solve the common problem of tab overload. The extension automatically groups and organizes tabs by domain in real-time. Key features: - Automatic tab grouping by domain/website - Smart tab management and organization - Easy navigation between related tabs - Lightweight with minimal performance impact - Privacy-focused - all data stays in your browser I built this because I often found myself with 50+ tabs open across different projects and websites. Manually organizing them was time-consuming. Would love feedback from the HN community on the implementation and feature suggestions.

Visit product View on Hacker NewsNov 17, 2024

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Did not reach leaderboard

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

78%78% 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 · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

28%28% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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