Vercel

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Vercel

Vercel is a platform designed for developers, providing speed, reliability, and scalability to create and deploy web applications. With built-in CI/CD, zero configuration, and deep integrations with popular Git providers such as GitHub, GitLab, and Bitbucket, Vercel streamlines the development process, making it easy for teams to collaborate and iterate on their projects.

General
Release date	2015
Author	Vercel
Type	Deployment and hosting platform

Tutorials

Great tutorials on how to build with Vercel

Vercel - Helpful Resources

Check it out to become a Vercel Master!

Vercel Documentation Comprehensive documentation for Vercel
Vercel Blog Stay updated with the latest news and updates from Vercel
Vercel GitHub Vercel's open-source repositories

Edit on GitHub

Vercel AI technology page Hackathon projects

Discover innovative solutions crafted with Vercel AI technology page, developed by our community members during our engaging hackathons.

AIVE-Artificial Intelligence Venture Engine

AIVE (Artificial Intelligence Venture Engine) is a Cognitive Discovery Operating System that transforms unstructured information into structured knowledge, evidence-backed insights, and actionable opportunities. Instead of only summarizing documents, AIVE builds an internal understanding of the information it receives and reasons across multiple knowledge sources. The platform ingests research papers, patents, technical documents, reports, datasets, presentations, websites, and other digital content. It extracts concepts, entities, relationships, evidence, and patterns, organizing them into an interconnected knowledge structure that enables deeper analysis and intelligent reasoning. Users can upload their own knowledge, explore it through an AI copilot, ask complex questions, and receive responses supported by evidence with traceability to the original sources. Rather than relying on predefined workflows or keyword matching, AIVE is designed to adapt dynamically to new domains and continuously expand its understanding as additional information is introduced. Beyond search and summarization, AIVE identifies research gaps, hidden relationships, emerging trends, contradictions, technology transfer possibilities, commercial opportunities, and innovation pathways. It generates research-grade reports, interactive knowledge graphs, visualizations, comparison tables, timelines, and decision-support outputs to help users understand complex information and make informed decisions. Built on knowledge engineering, graph-based reasoning, retrieval systems, and large language models, AIVE provides a unified workspace for researchers, engineers, enterprises, and innovators. Its vision is to become a trusted cognitive partner that accelerates scientific discovery, product innovation, strategic decision-making, and enterprise knowledge management through transparent, explainable, and evidence-driven intelligence.

CrosslaneAI

CrosslaneAI is an agentic migration platform that autonomously ports CUDA codebases to ROCm/HIP, so teams can run their GPU workloads on AMD hardware without rewriting a single kernel by hand. For over fifteen years, the entire GPU computing world has been written in CUDA. That accumulated codebase — not the silicon itself — is the real reason teams stay locked to a single vendor. AMD's MI300X is genuinely competitive today, offering 192GB of HBM3 and far better price-per-hour economics, yet most organizations can't make the switch. The migration is manual, slow, error-prone, and expensive enough that it's typically handed to specialist consultants charging weeks of engineering time. PortForge productizes that migration and collapses it from weeks into minutes.

Chronos AI

Most "AI decision tools" do one thing: you type a question, they write back a confident-sounding paragraph. That paragraph is a guess dressed up in good grammar. Chronos does something different. It builds a memory of your actual company first, then runs your decision through that memory instead of guessing in the dark. Here's what that looks like in practice. Chronos pulls in your GitHub repos, your documents, and live evidence from the web, and turns all of it into a memory graph: the projects, people, claims, and risks you actually have, and how they connect. Bring it a real decision, like whether to pivot, hire, or raise now versus wait, and a Multi-Agent Council of LLM agents (running on Fireworks AI's AMD-hosted infrastructure) argues it out from different angles before converging on a recommendation. Instead of just an opinion, you get a probability score and an Expected Regret number for each path, so you can actually compare options instead of trusting a gut feeling. Want to sit with it longer? Talk to a simulated future version of yourself and ask what the decision felt like six months out. That's the real difference. Most AI co-founder tools generate a plan once and move on. Chronos treats a decision as something worth simulating and scoring, grounded in evidence you actually have, not a generic playbook with your company's name pasted in. And it's not a mockup. The frontend runs on Vercel, the backend is FastAPI on Render, and everything above, the memory graph, the council, the regret scoring, is live right now, wired to real providers with safe fallbacks so it never breaks mid-demo.

Hi-Max

HiMax is an AI-powered personal transformation platform designed to make fitness coaching accessible, interactive, and personalized. Many people struggle with maintaining proper exercise form, staying consistent, and receiving guidance without an expensive personal trainer. HiMax addresses these challenges by combining computer vision, conversational AI, and modern web technologies into a single intelligent fitness platform. The platform provides an AI Coach powered by the Fireworks AI API using the GLM 5.2 model, enabling users to receive personalized workout recommendations, nutrition guidance, recovery advice, and answers to fitness-related questions. During onboarding, users enter their fitness profile, allowing the AI Coach to tailor its responses to individual goals and characteristics. HiMax also features real-time exercise tracking using MediaPipe Pose Landmarker. The application detects body posture through the user's camera, validates exercise form, counts repetitions automatically, tracks completed sets, and provides live feedback during workouts. This creates an engaging workout experience while helping users maintain proper technique. Key Features 🤖 AI Coach powered by Fireworks AI (GLM 5.2) 🎥 Real-time pose estimation with MediaPipe Pose Landmarker 💪 Automatic rep counting and set tracking 🏋️ Personalized workout generation 🥗 Nutrition and recovery recommendations 👤 User authentication and profile management with Supabase 📊 Interactive dashboard and workout tracking ⚡ Built with React, TypeScript, Tailwind CSS, and Vite HiMax demonstrates how conversational AI and computer vision can work together to deliver an intelligent, accessible, and engaging fitness coaching experience, empowering users to achieve their health and fitness goals through personalized AI assistance.

ROCm Navigator

ROCm Navigator is an enterprise-grade, autonomous multi-agent platform engineered to break proprietary software lock-in by automating the migration of GPU applications from NVIDIA CUDA to open-source AMD ROCm (HIP). While traditional conversion tools (like regex-based hipify) frequently break on complex unified memory pointers, inline assembly, or cooperative warp-level primitives, ROCm Navigator treats codebase migration as a closed-loop optimization problem. The platform orchestrates a collaborative mesh of specialized, asynchronous AI agents to achieve drop-in runtime parity on AMD Instinct™ Accelerators (such as the CDNA3/MI300X series): Core Scanner Agent: Uses a Tree-Sitter & NetworkX Abstract Syntax Tree (AST) parser to build a structural graph of the codebase, pinpointing hardware-specific CUDA functions and migration bottlenecks. LLM Synthesis Agent: Leverages LangGraph workflows and fine-tuned Gemma LLMs to generate high-performance HIP code translations, preserving memory semantics and kernel-level configurations. Security Audit Agent: Scans translated assets post-migration for configuration vulnerabilities, secrets leakage, or potential security vulnerabilities. Sandbox Runtime Agent: Spins up hardware-isolated Docker compilation and testing containers. It attempts to compile the translated HIP code, feeds compile errors directly back into the LLM synthesis loop for automated self-correction, and benchmarks the resulting binaries on target AMD GPUs. The entire ecosystem is monitored through a sleek Next.js dashboard utilizing a responsive, glassmorphic dark-mode design. Through the interface, users can visualize real-time agent telemetry, review interactive side-by-side git diffs of the code translation, track compilation feedback, and monitor GPU benchmarking performance. By turning manual migration months into automated minutes, ROCm Navigator bridges the gap between raw syntax porting and instant operational deployment on AMD hardware.

Visiolab

VisioLab is a state-of-the-art educational ecosystem designed to revolutionize how students interact with and understand complex STEM concepts (Science, Technology, Engineering, and Mathematics). By leveraging advanced Artificial Intelligence, VisioLab bridges the gap between theoretical textbook knowledge and practical application through real-time, interactive simulations. The platform operates on a synchronized dual-portal architecture: The Admin Portal acts as a powerful creative engine for educators. Teachers can seamlessly generate brand-new, fully functional simulations simply by providing a text prompt or reference material. The integrated AI automatically writes the underlying code to visualize abstract concepts—ranging from cellular biology to harmonic physics—giving educators a frictionless way to enrich their curriculum. The Student Portal offers a premium, beautifully designed learning environment where students can actively manipulate variables, observe live metric updates, and watch graphs respond in real-time. To ensure deep comprehension, each interactive model is paired with dynamically generated AI Study Guides and a context-aware conversational AI Tutor capable of providing step-by-step guidance. Built entirely with modern web technologies including React, Tailwind CSS, and Supabase, VisioLab delivers a highly secure, responsive, and deeply engaging educational experience that empowers the curious minds of tomorrow.