Unsearch, an open source alternative to Google Chrome Sync

Hacker News

I use several browsers between college, work and home and I like to have them synced so I can find websites I've searched for in a browser when I don't have access to it or access my bookmarks. I don't like the idea of using any of the sync services offered by the major browsers because of how they might use my data, because they lack some features I'd like to have, and because they all try to lock you into their ecosystem. So I'm building an open source cross-browser manager for browsing activity. I would love to hear your thoughts on this concept, and if you have any questions or suggestions, please let me know.

Visit product View on Hacker NewsJul 24, 2024

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

96%96% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

69%69% 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: google · Missing: mobile apps, ios, personal

47%47% 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

35%35% 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

12%12% 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

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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