Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
SUPER DOPE SNAKE THATLL WIN EVERYTHING - LETS GOOOOOOOOOOOOOOOOOO
Bigger snake = head-on wins + more board control. Grow by prioritizing food, then hunt opponents using size advantage. Safety checks, board awareness, and MCTS help guide smarter moves and avoid traps
best snake ever!
convLSTM-battlesnake is a deep reinforcement learning Battlesnake AI designed for the 2026 NJIT Battlesnakes Tournament. It features a custom neural architecture trained using PPO.
Submission for NJIT's BattleSnakes '26 Hackathon!
Our snake uses a simple decision tree, first aiming for the predicted location of the heads of smaller snakes, then seeking a minimum number of free spaces around it, and finally moving towards food
I present to you: A hungry hungry boi (snek). Very hungry, very dangerous. Maybe it has a brain? Who knows . . .
built to slither smarter
A high-performance Rust BattleSnake built for survival, leveraging dynamic algorithm switching to toggle between aggressive hunting and strategic coiling.
Pssssst - This bot profiles enemy playstyles to exploit their habits. It pairs real time psychology with math to dominate territory and predict complex traps before enemies can spring them.
A Battlesnake implementation using flood fill and a variety of weights to optimize the algorithms
Battlesnake using Rust and Fly.io for deployment
Battle of Snakes
1 – 13 of 13
