Sour – classic arena FPS in the browser

Hacker News

Hello HN, Cube 2: Sauerbraten is an open-source arena FPS with sophisticated map editing tools that had its peak popularity around 2010. There were some nascent efforts to port it to the web that I have taken over in the past couple of years, and it's finally ready to share with you! Sour is a continuation of Sauerbraten that aims to modernize the game and bring it to a broader audience by making the full game experience available to web browsers on desktops and mobile devices. The eventual goal is to be a web-based and open-source alternative to Roblox et al, which allow players to create their own maps and game modes. We're in need of contributors with experience in any of the following: C++, WebGL2, Emscripten, React, TypeScript, and Go. Check out our repo here: https://github.com/cfoust/sour And join us on Discord here: https://discord.gg/WP3EbYym4M

Visit product View on Hacker NewsFeb 3, 2023

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3points

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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% 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 · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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