A React E-ink Paper Display

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I’ve been working on a side project called Warka (ورقة in Arabic, means Paper). Warka is a framework for building e-ink displays using React as a frontend and Python as a backend. An ESP32, running a ~100 C++ lines lightweight software, is used to fetch a screenshot file from the backend server and display it in the e-ink display. With this architecture, you can now iterate super fast on your display and draw anything really quickly. No need to hardcode icons and bmp arrays in C++ anymore. No need to worry about the size of your text. The design burden is now on the frontend (React) side. You can implement a dashboard, a calendar, a news feed, a dynamic weather display, a screensaver... you name it! Github repo: https://github.com/k3nz0/warka I'd love to hear your thoughts, ideas, or even see what you build with it!

Visit product View on Hacker NewsJun 22, 2025

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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 · Missing: mobile apps, ios, personal

34%34% 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

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

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

14%14% 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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