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Bookmarking for GitHub. Save and Organize repositories with custom tags

Hacker News

Bookmarking for GitHub. Save and Organize repositories with custom tags

A chrome extension which enables bookmarking feature for github. Bookmark your favorite repositories and organize them with custom tags. Download extension : https://chrome.google.com/webstore/detail/voblet/jgnennkfpah... Website: https://voblet.com/github Why ? In Github star is the only way to save a repository and you cannot organize with custom folders or tags. With voblet you can organize repositories with custom tags. For example, When you find an interesting repository which you want to use for your next side project you can bookmark with 'Side Project' as a tag. View your Bookmarks on github just like stars. Features : * Bookmark your favorite repositories * Organize repositories with custom tags * Bookmark from trending list * Access your bookmarks from your phone

Visit productView on Hacker NewsMay 14, 2017
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
69%69% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
46%46% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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