Pi

PinAllWindows – sync pinned apps across Chrome windows

Hacker News

PinAllWindows – sync pinned apps across Chrome windows

I work with two monitors and keep one Chrome window open on each screen. The problem was that Chrome manages pinned tabs separately for every window. My two windows would gradually end up with different pinned apps, and every new window required setting them up again. After trying nearly every Chrome tab manager I could find, I realized most were designed around sessions, tab search, or saved workspaces. None provided the simple behavior I wanted: Pin an app in either window, and make it available in both. So I built PinAllWindows. It maintains one consistent set of pinned apps across normal Chrome windows, removes duplicates, and includes a side-panel tab tree for navigating and moving tabs between windows. It requires no account or external server and stores only pinned-site origins locally. Version 0.8.1 is finally stable enough that I’m comfortable sharing it. I’d especially appreciate feedback from other dual-monitor Chrome users.

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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: apps, user, new · Missing: mac, agents, macos
91%91% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, users, para · Missing: mobile apps, ios, personal
58%58% 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
41%41% 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: users · 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
20%20% 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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