Stillflo: a minimalist productivity suite to help you focus

Hacker News

I built Stillflo as a side project after feeling overwhelmed by large, cluttered task managers and kanban boards. I wanted something simpler, something that helps me prioritize a few key things each day and not get lost in the noise. I’ve been using it at my day job for the past few weeks and it’s helped me stay focused. Stillflo is a web-based productivity suite with a minimal, dark-mode interface. It includes: Daily Focus: Plan your day with 1 top task, 3 supporting tasks, and a couple “nice to haves” Eisenhower Matrix: Prioritize your week by urgency and importance Personal List: A lightweight to-do list for personal, non-work stuff (emoji supported) Idea Board: Capture ideas and rate them based on Simplicity, Viability, Desirability, and Gut Feeling You can start using all the features right away. Would love your feedback.

Visit product View on Hacker NewsJun 21, 2025

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4points

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

61%61% 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.

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

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

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

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

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

40%40% 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

17%17% 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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