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Agenlus
Watch a neural net learn to fight, race and drive wrong way
Agenlus is a browser-based RL training platform — no install, no setup, just open and train. Watch your neural net stumble, backtrack, and finally figure it out. Then throw it into battle against someone else's. What you can do: Train agents on CartPole, MountainCar, and battle environments — powered by WebGPU, running fully in your browser Compete on the global leaderboard Build your own environments with the Env Builder IDE No PhD required. No GPU bill. Just a browser.
Hey PH!
I'm Youngseong, an independent AI researcher who built Agenlus solo.
I got tired of RL being stuck behind expensive GPUs and complex setups. So I built a platform where anyone can train neural nets directly in the browser — powered by WebGPU and Pyodide, zero install required.
The fun part? You can watch your agent fail spectacularly at first, then slowly figure things out. Then challenge someone else's trained agent to a battle.
Would love brutal feedback — what environments do you want to see next?
About Agenlus on Product Hunt
“Watch a neural net learn to fight, race and drive wrong way”
Agenlus was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #129 on the daily leaderboard. Agenlus is a browser-based RL training platform — no install, no setup, just open and train. Watch your neural net stumble, backtrack, and finally figure it out. Then throw it into battle against someone else's. What you can do: Train agents on CartPole, MountainCar, and battle environments — powered by WebGPU, running fully in your browser Compete on the global leaderboard Build your own environments with the Env Builder IDE No PhD required. No GPU bill. Just a browser.
On the analytics side, Agenlus competes within Education, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Agenlus performed against the three products that launched closest to it on the same day.
Who hunted Agenlus?
Agenlus was hunted by YoungSeong Kim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Agenlus including community comment highlights and product details, visit the product overview.
YoungSeong Kim