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Nowrite.fun – If you stop typing, your text disappears

Hacker News

Nowrite.fun – If you stop typing, your text disappears

Hey HN, I built a small experimental writing tool called nowrite.fun. The concept is brutally simple: You set a timer (e.g. 5 minutes), start writing — and if you stop typing, your text vanishes. No drafts, no recovery, no forgiveness. Inspired by apps like Write or Die, but rebuilt from scratch with a lightweight stack: Deno + TypeScript, XState, anime.js, and canvas-confetti. Hosted on Deno Deploy. It’s a tool for short, focused writing sprints — a tweet, a blog paragraph, a newsletter blurb. Keep typing → you win. Hesitate → it’s gone. It’s minimal, a bit stressful, and surprisingly motivating. I also posted it on Product Hunt to see if this kind of weird, borderline masochistic UX resonates with anyone: https://www.producthunt.com/posts/no-write If you find it fun or useful, I’d really appreciate an upvote! Would love your thoughts, feature ideas, or performance roasts. Try it here: https://nowrite.fun

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Actual performance

23points
20comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
69%69% 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: apps, new · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
39%39% 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: apps, para · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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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