Tabtation – A Chrome Extension to Manage Your 'Too Many Tabs Syndrome'

Hacker News

Hey there, HN! My name is Rishit, and this is my first post here on HN. Let me start off by asking you a question. How many tabs do you have open in Chrome right now? If you said less than five or ten: Congratulations, you’re not suffering from the dreaded 'Too Many Tabs Syndrome' (TMTS). Well, most probably! We all grow and start from zero. What?! Say that again. Did I hear you correctly? 25? 50? 100? Maybe even more? Or you’re just too lazy like me and said ‘too many’ since you can’t count them on your fingers? Woah! Now we’re talking! Yeah, yeah, I know, we’re in HN land after all, so I may be over-hyping this. But seriously though, you must have landed up in situations where the tab widths are so small, you can’t make sense of anything. So, what do you do? You start opening new windows. Wonderful. Few hours of work, and yup, you end up with the same thing again. Windows are nice. But a lot of them (with a lot of tabs) sucks even more. I just went through all of my five windows and all their tabs, and still can’t seem to find that one tab! Jeez. ️ So, I may have something that would be right up your alley, and help you manage your TMTS; Well, it certainly helps me with mine, so I’m stoked to find out if it does the same for y’all. I’ve just launched Tabtation on the Chrome Web Store! ( https://chrome.google.com/webstore/detail/tabtation/hdidaidp... ) I’m offering a 7-day free trial, so give it a try and do let me know what you think! I’d love to hear your questions, thoughts, or feedback, and work on them to improve Tabtation so that we can all be more productive in the coming months. ️ BTW, Tabtation is also on Product Hunt today ( https://www.producthunt.com/posts/tabtation ). Yup, a lot of firsts for me today! Cheers!

Visit product View on Hacker NewsMay 12, 2019

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

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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TrustMRRFits verified-revenue profile · Strong signals: month, google · Missing: mobile apps, ios, personal

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40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

32%32% 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

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