Bookmark Publicly – Make Shareable Folders of Links

Hacker News

I have been building LinkCollect browser plugin because i needed something to help me create shareable collections of links in an easy and simple way. plus i wanted to create a discovery hub for public collections of resources and cool links Features - Save all open tabs using right click (or command ALT / Option A) - Save any link ( ALT + C ) - Discover collections that are public on the explore page - Share whole profile link - Access everything (search + all bookmarks + collections) from extension itself so no need to visit the website for these things :)

Visit product View on Hacker NewsOct 7, 2023

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Actual performance

5points

1comments

Did not reach leaderboard

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

64%64% 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.

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

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

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

56%56% predicted probability of success on Product Hunt, 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

34%34% 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: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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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