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tinybrains.dev
Competitive AI arena for small neural networks
An open arena where small neural networks compete for supremacy in retro strategy games. Write, train, and deploy tiny models, from simple MLPs to custom micro-architectures, to outsmart opposing AI bots in real time.
I’m Harishankar, creator of tinybrains.dev.
Massive LLMs and billion-parameter models get all the hype, but there’s an incredible amount of power, speed, and elegance hidden inside tiny neural networks.
tinybrains.dev is a competitive AI arena inspired by classic multi-agent challenges (like the Google AI Challenge: Ants). It’s designed to challenge developers to achieve maximum strategy using minimal parameters and low-latency inference.
Why tiny brains?
Compute Constraint as a Feature: Instead of burning GPU power on massive models, you are challenged to optimize small, lightweight neural networks (~100MB or less) to make fast, strategic, real-time decisions.
Real-time Strategy Simulations: Write your bot, upload your model, and watch your tiny brain command units, gather resources, and defeat opponents in grid-based tactical games.
Fair Benchmarks & Low Latency: The arena runs lightweight CPU inference so anyone can build, test, and compete without needing expensive server infrastructure.
Who is this for?
Reinforcement Learning & AI Enthusiasts looking for a fun benchmark.
Developers & Engineers who love competitive coding (Codeforces, LeetCode, Screeps).
Students & Educators wanting hands-on multi-agent simulation experience.
I’d love for you to test out the arena, submit your first bot, and give your feedback on game balance, API design, or features you’d like to see next!
Happy training, and let the best tiny brain win!
About tinybrains.dev on Product Hunt
“Competitive AI arena for small neural networks”
tinybrains.dev was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. An open arena where small neural networks compete for supremacy in retro strategy games. Write, train, and deploy tiny models, from simple MLPs to custom micro-architectures, to outsmart opposing AI bots in real time.
On the analytics side, tinybrains.dev competes within Open Source, Artificial Intelligence and Games — topics that collectively have 649.6k followers on Product Hunt. The dashboard above tracks how tinybrains.dev performed against the three products that launched closest to it on the same day.
Who hunted tinybrains.dev?
tinybrains.dev was hunted by Harishankar Narayanan. 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 tinybrains.dev including community comment highlights and product details, visit the product overview.
Harishankar Narayanan