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StratusGFX – new release of my open sourced 3D rendering engine

Hacker News

StratusGFX – new release of my open sourced 3D rendering engine

Today I was able to release version 0.10 of my open sourced 3D rendering engine. It is the result of a few months worth of work. The previous version was also posted here and received tons of feedback which greatly helped the project! Since then I've been working to add new features and refine existing ones. GitHub: https://github.com/KTStephano/StratusGFX Video showreel: https://www.youtube.com/watch?v=dj0wVxwd1ng The biggest changes for this version include an overhauled global illumination system, FXAA+TAA, and better mesh LOD generation and selection.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% 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, month · Missing: mobile apps, ios, personal
36%36% 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
36%36% 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 · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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