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ReTab – a Cmd+Tab-style switcher for Safari tabs

Hacker News

ReTab – a Cmd+Tab-style switcher for Safari tabs

Hey HN, if you do use Safari, try my little ReTab extension. It makes jumping back and forth between tabs way smoother and honestly improves my productivity & enjoyment a ton. Tap Cmd+E to jump back & forth between your last visited tabs Hold Cmd+E to show a list of your tab history to select (just like Cmd+Tab on macOS) Tab history is tracked per-window so cycling stays scoped to the window with focus. No analytics, no remote calls, nothing leaves the Mac — a single Safari Web Extension on MV3 spec + small Swift container app. 22s demo: https://youtu.be/oysvE06Ys-0 Any feedback or ideas are welcome!

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, single · Missing: agents, agent, cursor
81%81% 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
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
43%43% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive
37%37% 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
19%19% 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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