Focusdoro(AI) – AI assisted Pomodoro task list

Hacker News

Hi, I have always struggled with changing priorities and figuring out what to focus on a particular day. The actual priorities get missed amongst all other things in life. With the launch of Gen AI in almost all aspects of our lives, i decided to build something that can assist me in finding the right priorities and staying on them. This has helped me out for the past couple of days. I am using Openai apis for task breakdown and Daily planning bot and the rest of the site is built using Django, JS, and Tailwind. I have tried a lot of productivity tools throughout the years and Pomodoro and timer-based focused work has worked out best for me. If there are other techniques that have worked out for you, do let me know, I will try to incorporate those :) Would love honest feedback on this so that I can make this more useful to others and to myself. Looking forward to your feedback, thanks in advance :)

Visit product View on Hacker NewsSep 19, 2023

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3points

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Did not reach leaderboard

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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% 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: way · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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

26%26% 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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