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SimTooReal
Train robots in any sim. Ship to real world. Two commands.
Sim-agnostic robot RL training infrastructure. One platform for IsaacLab, MuJoCo, Gazebo, and LeRobot — live dashboard, GPU pool, Robot Studio, and zero lock-in. Your code, your sim, your checkpoints.
Hey Product Hunt! 👋
I'm Vardhan, and I've been building robotics training infrastructure for the past year.
The frustration that led to SimTooReal: I was running the same policy on IsaacLab AND MuJoCo to cross-validate results — and I had five different terminal windows, three different logging formats, and no single place to compare reward curves side by side. Every team I talked to had the same duct tape.
W&B is great for ML broadly, but robotics has specific needs: body telemetry (CoM height, joint torques, base velocity), episode failure clustering, sim-to-real eval, and multi-environment dispatch. None of that fits cleanly into a generic experiment tracker.
So I built the missing layer. Two commands, your existing training script unchanged, full observability across every major sim.
The thing I'm most proud of today is Robot Studio — you describe a robot task in plain English, Claude generates the training project files, and you click "Run on GPU." Zero infrastructure setup. It's the fastest path from "I want to train a bipedal walker" to actual training curves I've ever seen.
We ran brutal benchmarks on an A10G: Ant-v4 on MJX 4096 envs hit 2,684 reward. We traced a bug where per-env Python loops triggered 40,960 GPU→CPU scalar transfers per update (10+ min/iter). Fixed to 3 transfers. Now it's fast.
I'd love your feedback on:
→ What sims/frameworks are you stuck on that we don't support yet?
→ What's the #1 thing missing from your current RL observability stack?
Try it free: simtooreal.com
CLI: pip install rpx-agent
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About SimTooReal on Product Hunt
“Train robots in any sim. Ship to real world. Two commands.”
SimTooReal was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #17 on the daily leaderboard. Sim-agnostic robot RL training infrastructure. One platform for IsaacLab, MuJoCo, Gazebo, and LeRobot — live dashboard, GPU pool, Robot Studio, and zero lock-in. Your code, your sim, your checkpoints.
SimTooReal was featured in Robots (10.6k followers), Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 177k products, making this a competitive space to launch in.
Who hunted SimTooReal?
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