Terminal Aesthetic Productivity App

Hacker News

Hey HN, I keep building things and failing at launch. This time I built something that enforces the discipline I lack: a productivity system that physically blocks you from working when you've done too much focus without rest. What it does: - Focus timer + meditation tracker + task manager in one terminal-aesthetic interface - Hard 10:1 focus:rest enforcement — work 100 minutes, you OWE 10 minutes of rest before the timer unlocks again - Task completion requires reflection logs (1 reflection per 5 tasks) — no backlog journaling allowed - ASCII progress bars, monospace everything, brackets for every action: `[ START_FOCUS ]` - No gamification, no streak anxiety, no "you can do it!" cheerleading Why I built it: I'd work 4-hour blocks, burn out by Wednesday, then doomscroll for 3 days. Every productivity app let me keep going. I needed something that would stop me and enforce recovery. The aesthetic is intentional — brutalist terminal UI to strip out dopamine triggers. Black background, functional color (teal/amber/red), no rounded corners, no celebrations. Just discipline. Current state: - 7-day free trial, no card required - Web app (Flutter + Supabase) - Works on mobile but designed desktop-first - I'm the only daily user (classic founder problem) What I learned building this: - Enforced rest is controversial — some testers hated being blocked - People want "just one more task" overrides — I refuse to add them - The terminal aesthetic filters hard: developers love it, normies bounce - I have no idea how to market this without sounding preachy about discipline Live demo: https://app.kensho.zone Source: Not open yet (will consider if there's interest) This is my 5th failed business attempt. Usually I ship, post once, then wonder why no one uses it. Trying something different this time: being honest about the struggle and asking for brutal feedback before I give up. What am I missing? Would you actually use this, or is it solving a problem only I have?

Visit product View on Hacker NewsDec 28, 2025

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

78%78% 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: user, physical, tasks · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, 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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

23%23% 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.

Correct prediction on native model

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