Open-Source Video Editor Web App

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Hey everyone, for the past like six months I've been working on a portfolio project. I got tired of doing easy projects, so I decided to tackle something bigger and more challenging. That's when I came up with the idea of a video editor. This piece of work is intended to showcase my skills and land me a job, but I like to think when working on projects that my idea is so cool that people will like to use it, and I treat every project like a startup idea. Also I havent seen many open source video editors especially on web so that was one of the points why I decided to make that and not something else, but in the end its learning experience and im not expecting much if at all. A bit about the video editor itself: -website: https://omniclip.app/ -its free -its open source (MIT Licensed) -its using Webcodecs API for quick rendering -works fully inside browser, client side, no private data is kept -I made some readme with more details, im not expecting contributions but I added bit about it: https://github.com/aegir-assembly/omni-clip Features: -Trimming -Splitting -Supports - Text, Audio, Video (mp4) and Images -Clip editing on preview - rotating, resizing, text styling and more -Undo/Redo -Render in different resolutions, up to 4k. Things to know before using this editor: -it is simple editor, but its my main project im working on and improving it. -right now it only works with videos 25 fps and more but not less -only 4 tracks -- its something I could improve quickly but forgot -bug here and there (eg. filmstrip not rendering until timeline scroll moved) -its not working on phones yet (drag and drop API problems) I'd love to hear your thoughts and feedback on it.

Visit product View on Hacker NewsMay 12, 2024

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

92%92% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

79%79% 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

63%63% 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: video, month · Missing: mobile apps, ios, personal

54%54% 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

38%38% 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 · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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