Focusify – A New Tab Productivity Extension with Draggable Widgets

Hacker News

Focusify is a Chrome extension that transforms your new tab into a customizable productivity hub. Key features: Pomodoro timer Todo list Note-taking Ambient sound player Dynamic background changer Music player What sets Focusify apart is its Windows-like interface, allowing you to drag and position widgets freely on your new tab page. This is currently a beta release. I'd appreciate any feedback from the HN community on features, usability, or potential improvements. Try it out: Chrome Web Store Link ( https://chromewebstore.google.com/detail/focusify-your-produ... ) I'd be happy to provide more details or answer any questions about the development process, challenges faced, or future plans for Focusify. Would you like me to expand on any part of this post or make any adjustments?

Visit product View on Hacker NewsSep 29, 2024

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Actual performance

3points

Did not reach leaderboard

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

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

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

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Indie Hackers, 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

34%34% 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

13%13% 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.

Correct prediction on native model

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