Side Space: A Better Arc-Like Experience for Firefox Users

Hacker News

Alternative to Arc's Sidebar/Edge's Vertical Tabs. It allows you to have more control over your web browsing experience by effectively managing multiple tabs at once. How do vertical tabs work? Enabling the vertical tabs setting moves your open tabs from the top of your browser window (above the address bar) to the left side of the window. This allows the tabs to be displayed vertically, stacked one on top of the other, instead of horizontally. Features Manage tabs and tab groups efficiently with a vertical tabs panel. You can now save, restore, and reorder tabs, including tab groups, using drag-and-drop functionality. The Vertical Tabs Panel presents your open tabs in a side-by-side layout. Efficiently search multiple tabs using fuzzy search. To save memory, you can suspend open tabs. Enable cross-browser cloud synchronization with a single login. Dark Mode Support. Space Backup Solution Save your session as a JSON file Cloud sync by login AI-powered Tab Grouping Group Guardian, Auto Grouping your tabs within URL matchers The advantages of vertical tabs Vertical tabs are an effective solution for avoiding clutter in your browser window and maximizing your on-screen space. Additionally, they enhance tab visibility for easier identification. PS: Side Space is a futuristic vertical tab manager that can only be used with Firefox version 139 or above.

Visit product View on Hacker NewsAug 29, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, single, using · Missing: mac, agents, macos

89%89% 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: including, efficiently · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive

30%30% 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

12%12% 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.

Incorrect prediction on native model

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