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
Measure the online reception to a new song by analyzing the sentiment using agentic AI conversations trained to simulate and reflect public online discourse.
Build a movie and find out if it's going to be a cult classic!
Investigate what makes songs popular
Upload your dance video alongside a reference video to get instant AI powered feedback on your moves for improvement!
What is the cost/lbs to eat your favorite pokemon? Magikarp fillets? Mewto cuts of thigh? We used algorithms and machine learning to predict price per pound of Pokemeats.
Playlist to Podium is a simulation that takes your Spotify playlist, analyzes its audio features, and predicts your race performance across an F1 season, turning music taste into motorsport outcomes.
If datasets are culture’s footprints, we just built a radar to track where it’s going. It is a dashboard that tracks the change in the popularity of datasets.
Based on the video game review that is inputted into our model, we will predict what video game genre that game will be.
Imagine a recommendation engine that doesn’t just rely on genre tags or user ratings—but truly understands what an anime is about. It finds shows that feel similar, not just ones with the same tags.
Have you ever followed a celebrity only to find out something from their past that made you rethink your support? Introducing StanScan: your tool for exploring a celebrity’s public image over time.
Given a Drake song, match it to a Labubu that emotionally represents it.
What characteristics of a movie affect its audience rating? Is it the director, genre, runtime or is it completely random? This project aims to uncover those factors and predict a movie's success!
The goal is to create your own pokemon.
TikTok as a platform succeeds many forms of marketing. This predictor will allow businesses to utilize TikTok's prowess to reach larger audiences and inform their decisions in marketing.
- Guess people's Pokémon type from their selfies - Learn from existing pokemon images with CNNs - Failed... for today
Input your previously watched anime and get a list of new anime shows to enjoy!
Have you ever wondered what celebrity you look like the most?! With our new application, Like Me! Just take a photo and it will provide you with the top 3 celebrities that you look most similar to!
Data Meets Pokéballs: Your Perfect Team, Unlocked!
Recommendation system with LSTM Retriever Reranker
The website you need when that new season for your favorite show, but you've already forgotten the older seasons.
finishing a song tool
Imagine if you could generate a new popular movie with a click. Our fine-tuned language model generates movie titles and summaries based on genres, keywords, and uniqueness scale.
25 – 46 of 46