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SupaSidebar – I made Arc's sidebar universal for every browser

Hacker News

SupaSidebar – I made Arc's sidebar universal for every browser

Hey HN! I was very early adopter of Arc. as a dev, I enjoyed useful shortcuts (like copy URL), vertical sidebar, command panel, and other cool features. when TheBrowserCompany left Arc, i also switched browsers but missed all those cool features. so I decided to make Arc’s features universal. Meet SupaSidebar - Arc-like sidebar for all browsers Here’s what the app can do: - Save links, files, and folders from any browser or Finder - Fuzzy search current open tabs, browser history, and saved links - Open saved links in any browser with just a click - Common browser history across browsers - iCloud sync - Link browser profiles to Spaces and quickly switch between them - Built-in sidebar feel with fullscreen, overlay protection, auto show/hide etc. - Global shortcuts, Air Traffic Control, AI tagging, and more here's a demo video: [SupaSidebar Demo]( https://youtu.be/OimIUO0PSAk ) Free to use for up to 3 Spaces. Native Swift/AppKit, no Electron. Still in development and I’m making it better daily, so any feedback would be appreciated.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
84%84% 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
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
53%53% 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
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
18%18% 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.

Correct prediction on native model

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