Xplex.me – Self-Hosted, Open Source, Multi-Streaming Server

Hacker News

Multi-streaming has struggled to gain mainstream adoption due to platform disincentives, lack of immediate benefits for streamers, and unsustainable pricing models for multi-streaming services. Introducing xplex v1.0.0 — a self-hosted, containerized, multi-streaming server with a user-friendly web dashboard. It gives you full control over: - where to host - how much to spend - which all platforms to stream to To make deployment easier, xplex is also available as a 1-click app on the DigitalOcean Marketplace. I've found this approach particularly convenient: spin up a server when I go live, then delete the instance when done streaming, to keep costs minimal. xplex is for anyone who wants to multi-stream without needing advanced technical expertise. I've designed it to be accessible, but I'm actively looking for feedback to make it even simpler. Relevant Links: - Docs: https://xplex.me/setup/ - GitHub: https://github.com/debloper/xplex - 1-click: https://marketplace.digitalocean.com/apps/xplex Live Q&A: I'll be multi-streaming at 15:00 UTC on Twitch and YouTube. Feel free to drop by with questions or suggestions: - Twitch: https://twitch.tv/debloper - YouTube: https://youtube.com/@BreakerSpace Would love your feedback, both technical and non-technical, to improve xplex!

Visit product View on Hacker NewsNov 24, 2024

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

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

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, host, friendly · Missing: plus, intuitive, reviews

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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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