This App Is My Lifelong Labor of Love

Hacker News

This App Is My Lifelong Labor of Love When was the last time that after an update you felt yourself as if being exposed to something amazing, having as if a radioactive feeling across your arms that you’re actually holding something you’ve long waited for, something brand new? I want to tell you about an app I’ve put in not a year or a half, but a part of a lifespan. A handcrafted keyboard, where I took an open source keyboard with all its features, all its cons and caveats - with over 100,000 lines of code(!) and with no fear - over the course of 15 years, I designed and I fixed and I refined, corner by corner, bug after bug what eventually became the product I wanted - a keyboard I proudly call my personal masterpiece. In my app, Effectedkeyboard 2, when you type a letter, there is no static preview, but rather there is a small live animation. For example, when I press a key on my setup, the letter gently grows, and the moment I release it, it seamlessly resizes right back into place. It’s incredibly subtle, it’s alive, and it feels absolutely beautiful. There’s no enough words to describe it and it is meticulously feature-full and simple. Would you mind to take a look and share your thoughts, e.g. Whether you’d like to adopt it as your regular keyboard? The app is called Effected Keyboard 2 and it’s available on Android: https://play.google.com/store/apps/details?id=com.vitali.pom...

Visit product View on Hacker NewsJul 28, 2026

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

90%90% 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: google, apps, new · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: open source, 000, io · Missing: https docs, excited, just released

50%50% 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 · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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.

Correct prediction on native model

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