Stratus: Open-Source Game Streaming Powered by WebTransport and Wayland

Hacker News

hey HN! We're a group of Computer Science students from Oregon State University. At the beginning of this school year, we thought we could create a better low-latency game streaming service from scratch as our capstone project. Unlike other open-source projects, we stream directly to the web via WebTransport a newer, QUIC based protocol allowing us to achieve glass to glass latency as low as 20 MS. We also host all game sessions on a bc-250 crypto-mining server. If this piqued your interest, I recommend check you out our architecture post below. architecture post: https://www.playstratus.io/blogs/architecture source: https://github.com/playstratus/stratus

Visit product View on Hacker NewsMay 26, 2026

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

72%72% 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: way · Missing: mobile apps, ios, personal

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

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: computer, new, open · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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