ZenTabTimer, an HTML timer where browser favicon is the timer

Hacker News

An HTML page where the favicon is a circle that drains over timer. Great for pomodoro work sessions while keeping the timer in view. Like a zen sand timer for your browser. I found myself using the timer built into google search all the time to keep on track during a work session, but as soon as I had too many tabs, I'd end up clicking the tab all the time to see how much time was left. Plus, the countdown change movement would become visually distracting. Here, the circle "drains" without visible or distracting movement. Vibe coding used to be a fun term for a low stakes thing made for fun, but these days it's a become a loaded term as real companies pressure their devs to vibe! So, let's call this thing "Vibegentically Agenteered" to mean what vibe coding used to mean, a quickly made low stakes thing just for fun.

Visit product View on Hacker NewsSep 16, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, google, visual · Missing: mac, agents, macos

85%85% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, soon · Missing: platform, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, 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

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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