Yet Another Speed Dial – An open source new tab page

Hacker News

Show HN: Yet Another Speed Dial - An open source new tab page I made an open source, cross-browser new tab page inspired by the Speed Dial in Opera. It also works great as a bookmarks manager because it gives you visual thumbnails for bookmarks instead of just a list. When you bookmark a site, just choose the Speed Dial folder (or one of its subfolders) and you'll automatically get a screenshot, favicon, or open graph image as a thubmnail. They can be sorted easily with drag and drop, and since they are just bookmarks under the hood you don't need to worry about the extension locking you in. If you're like me and still use lots of bookmarks, give it a try. Happy to hear your feedback HN! https://github.com/conceptualspace/yet-another-speed-dial

Visit product View on Hacker NewsAug 30, 2021

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

85%85% 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.

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

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

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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.

Incorrect prediction on native model

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