Owncast – An open-source, self-hosted live streaming server

Hacker News

I wanted to share the status with the Owncast project. If Wordpress is your self-hosted version of Medium, then this is your self-hosted version of Twitch. I've been little by little chipping away at building an easy to use and super useful live streaming server for individuals. It's still early days, but some recent updates include a dashboard where you can see some basic viewer metrics, configuration settings, and how your hardware is handling all that video crunching. We all know working with video can be intensive on the hardware side, so hopefully this helps people keep tabs on things. There's a demo server if you're curious what it's like. But if you're a streamer, or even have a little interest in the space, I'd love for you to give it a spin. Feedback is highly appreciated! If you want to learn more about the project check out the documentation, and of course all the source, issues and additional discussion are over on Github. Demo: https://watch.owncast.online Github: https://github.com/owncast/owncast Documentation: https://owncast.online

Visit product View on Hacker NewsDec 20, 2020

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

43%43% 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

15%15% 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.

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