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
Languages Python, C++, JavaScript (ES6+), SQL, Bash/Shell Scripting Frameworks React.js, Next.js, Node.js, Flask, Tailwind CSS
An edge-controlled vision assistant that helps visually impaired users understand their surroundings through real-time voice feedback, prioritizing low latency, privacy, and accessibility.
Transforms unread legal agreements into clear, explainable risk insights using hybrid AI.
We turn unread legal documents into visual risk intelligence anyone can understand.
A programmable consent platform where users pay in MNEE to unlock transparent, AI-driven legal risk analysis.
A live prediction platform where fans stake reputation points against AI during gameplay, transforming passive viewers into active stakeholders with real-time voting and leaderboards.
Detect workflow bottlenecks, automation conflicts, and delivery risks before your sprint breaks.
A PyTorch demo showing how dendritic routing enables conditional computation. We compare baseline and dendritic execution to show reduced active parameters with reproducible, offline-safe results.
Automated X mention capture → Odoo CRM leads in real-time
AI-powered thread summarization that cuts forum reading time by 80% with real-time toxicity alerts and historical insights.
IncidentIQ is AI-powered observability that automatically explains production failures.Turn minutes of panic into moments of clarity.
A smart system that analyzes workflows, predicts bottlenecks, and helps teams make better decisions before problems occur.
An AI-powered system that predicts operational risks, analyzes workflows, and enables smarter decisions before failures happen.
We are building a deterministic research pipeline where the non-deterministic LLM is a controlled component.