Lowkey Studio – Shader Powered visual effects compositor in the Browser

Hacker News

I am the author of an open source media viewer called Lowkey Media Viewer that's been around for years and has some users and Patreon support, but I've always wanted to add some basic editing features to it. I have some experience with After Effects and one thing I always wanted was a way to just create effects on the fly with a shader language. This lead me to try building a compositor around the idea of layered shader chains resulting in this first attempt which has come out pretty well. I've made a library of presets, but you can actually just write your own shaders and add them to any layer. It's pretty cool so I wanted to share it. Everything is MIT License, and this is just one part of the lowkey project which also includes the viewer, and a media server for async indexing, vector embedding jobs. The Studio is particularly cool though and its available directly from the docs site, and also in the media viewer app.

Visit product View on Hacker NewsJul 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual, open · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · 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

16%16% 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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