@StrikeRobot_ai

StrikeRobot is an embodied AI simulation platform for training humanoid robots in high-risk environments.

The project has launched SR Platform (text-to-simulation environment builder), open-sourced 1,000+ MuJoCo training scenes on Hugging Face, and recently announced a $SR token with partnerships including Venice AI for inference.

They're building real robotics infrastructure with Base integration for machine payments and agent coordination, though the project is very early (4-month-old account, <4k followers).

Green flags: Real technical output: open-sourced 1,000 MuJoCo scenes + 46k STL meshes on Hugging Face for sim-to-real training · Working product (SR Platform) that generates robot simulation environments from text prompts · Credible partnerships with Venice AI (Base ecosystem) and Virtuals/Eastworlds for robotics knowledge exchange · Genuine robotics focus with field presence (team visiting robotics hubs in China/Japan) · Early-stage with substance: <4k followers, 4-month-old account, technical depth in embodied AI

Red flags: Very new account (December 2025) with limited track record to validate team credibility · Token economics unclear: mentions buying $SR from market for rewards but distribution model not transparent · Heavy reliance on partnerships (Venice, Virtuals) for core infrastructure rather than fully independent stack