CalmTab a clean Firefox start page with container based Workspaces

Hacker News

Hi HN. I built a new Firefox homepage extension called CalmTab and would love some feedback. I work across multiple clients and found my cookies constantly clashing, so I built a homepage that includes a feature called Workspaces which opens grouped tabs in separate containers with one click. It also includes world clocks, sticky notes, daily quotes, and a simple layout. This is my first time building a Firefox extension and I would appreciate any thoughts on the approach, the UX, or areas that could be improved. Add on link: https://addons.mozilla.org/en-GB/firefox/addon/calmtab/

Visit product View on Hacker NewsNov 20, 2025

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2points

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

67%67% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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

28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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