Selaro Personal/Workplace knowledge management tool

Hacker News

Hi HN! I built Selaro to make things easier to find at work. It works as an auto bookmark tool based on URLs to sites that I visit. Often these are pages like confluence pages, github repos etc and bookmarking these individually is a lot of organization and effort. The permissions needed are wide since it works based on your URLs visited. I haven't found a better workaround for this yet. The tool stores all your data locally and uses no remote database except for Auth/signup (optional). It's not a full fledged knowledge management, but this is the scoped down MVP. Open to feedback on the product and also path forward for it.

Visit product View on Hacker NewsDec 29, 2022

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3points

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

70%70% 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.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% 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

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

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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