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
A safety layer that returns autonomy to users, limiting agent access, blocking unapproved network activity, isolating suspicious behaviour, and recording every security decision.
AI-image detection in your browser that adapts to JPEG, noise, blur, resizing, cropping, and the distortions introduced when images are reposted.
We're the best!
A localized AI forensic pipeline to detect and demarkate human and generative document tampering.
The copilot that tunes itself to any machine and pins the right product at #1.
Shop smarter with a conversational copilot that understands your evolving needs.
An offline-first shopping agent that asks better questions, preserves changing intent, and turns catalog evidence into earlier, higher-ranked product matches, and using zero runtime LLM tokens.
An autonomous ML agent that plans, runs, critiques, and learns from recommender experiments, using evidence-aware pruning to find stronger models within strict time and compute budgets.
Robust AIGC Image Detection Point it at a folder of images. You get back a JSON file with a score from 0 to 1 for each one, where 1 means almost certainly AI-generated.
🛍️ShopSIFT turns evolving shopping intent into ranked product recommendations through constraint tracking, adaptive questions, multi-route retrieval, and guarded local reranking.
Two retrievers, one literal and one semantic, fused by how confident each is rather than blended blindly. Narrows 50,000 products to the right one in about two questions.
An agent with 4 characters that improves Machine Learning models on its own. It works out what is actually wrong, writes the code to fix it, then checks whether the fix really did what it promised.
The autonomous machine learning agent researches the best way to train models for recommender systems. It has tools to search, experiment, evaluate, and log its findings.
An intelligent product discovery assistant built on Google ADK & Gemini to search Amazon catalog metadata, evaluate ratings, and recommend tailored items.
AI-image detectors often fail after images are compressed, resized, or reposted. InvariantGuard keeps working anyway.
A shopping agent that treats changing your mind as a first-class event. Finds a shopper's exact product in under 3 turns even when the network dies.
An adaptive shopping agent that turns evolving conversations into structured intent and asks the question that reduces uncertainty fastest.
A drop-in Transformer layer that is 2.28x faster across all 13 graded shapes while staying 1049x inside the tolerance gate — and runs the 100,000-token shape whose reference needs 20.5 TB and cannot.
Every generator leaves a tell. We find it and show you where
Agentic workflow for RecSys enhancement for MLE's.
No Doomscrolling. Just Smart Shopping.
An end-to-end short-video recommendation pipeline that combines LLM embeddings with tabular features using SENet-DeepFM architecture and dynamic hybrid loss.
Agent Launchpad extended to let users assemble any agents around one objective, then coordinate multi-agent work while enforcing authority, data boundaries, risky actions, and auditable delivery.
A shopping copilot that knows when not to answer.
25 – 48 of 614