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.

Automatic Website Builder

Most founders don’t fail because they can’t build — they fail because they spend weeks researching trends, debating ideas, and hesitating before launching. That delay kills momentum and makes product-market fit feel distant and expensive. Our solution is an OpenClaw skill that autonomously discovers real B2B pain points, generates a focused website or MVP around the opportunity, and deploys it instantly to Vercel. Instead of spending 2–4 weeks validating an idea, founders can launch in minutes, test demand immediately, and iterate based on real user feedback. By dramatically shortening the cycle from idea to live product, this tool accelerates the path to product-market fit and unlocks faster revenue opportunities. From landing-page lead generation to micro-SaaS subscriptions that can scale into recurring monthly income.

SpecForge

SpecForge is a self-assembling AI product engine that transforms a single sentence into a full, shippable product package in under 5 minutes. Built entirely within Complete.dev, it demonstrates what's possible when specialized AI agents don't just assist — they collaborate, hand off, and build on each other's work autonomously. How it works: Six purpose-built agents operate as a coordinated team across a dynamic DAG pipeline. The Orchestrator reads the incoming idea, constructs an execution graph, and sequences the agents based on what's missing from the spec. Each agent picks up where the last left off: Strategist → PRD, personas, user stories, acceptance criteria Architect → ADRs, system design, tech stack decisions Engineer → task breakdowns, code scaffolding, implementation plan Copywriter → GTM strategy, pitch narrative, landing page copy QA Sentinel → test plans, edge cases, quality gates Orchestrator → routes, sequences, validates, and self-heals on failure The pipeline is fault-tolerant: if any agent output fails validation, the Orchestrator re-invokes with targeted correction context rather than restarting from scratch. The proof is in the submission itself. SpecForge was built using SpecForge. The PRD, architecture decisions, GTM strategy, pitch deck, and implementation plan in this submission were all generated by the agents during development. This isn't a demo of what the product could do — it's evidence of what it already did. Built on: Next.js · TypeScript · Complete.dev Agent Builder · GitHub Actions · Vercel Target users: Hackathon builders, solo founders, and product teams who need to move from idea to structured execution without the overhead of a full product team. SpecForge doesn't just generate documents. It assembles the thinking.

SystemQuest

SystemQuest is a hands-on, gamified learning platform that transforms how engineers learn system design. Instead of passively reading blogs or memorizing patterns, users actively build real-world system architectures on a visual drag-and-drop canvas using components like load balancers, caches, databases, queues, and services. Each design is evaluated in real time by a simulation engine across core system metrics such as latency, throughput, availability, scalability, and cost. Users receive transparent, rubric-based feedback that highlights architectural gaps and trade-offs. An integrated AI assistant understands both the current mission and the user’s architecture, providing contextual explanations, hints, and design guidance at multiple levels of depth. SystemQuest offers structured learning paths and missions inspired by real engineering problems—ranging from high-read systems and asynchronous processing to distributed consistency and large-scale streaming. By combining simulation, AI feedback, and gamification, SystemQuest helps learners build true system design intuition through practice and iteration.

Eido an Autonomous startup builder

Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.

SkillForge

SkillForge is a full-stack AI skill authoring pipeline for the OpenClaw ecosystem. It solves a key pain point: writing secure, well-structured SKILL.md files by hand is tedious and error-prone. With SkillForge, users simply describe what they want their AI agent to do in natural language, and the system handles the rest. The backend (FastAPI + Claude API) streams a complete SKILL.md in real-time via Server-Sent Events, then runs automated format validation against the OpenClaw spec, and finally performs a multi-dimensional security scan that produces a 0-100 risk score with detailed issue breakdowns by severity. The frontend (React + Vite + Tailwind) provides a polished forge-themed interface with live streaming preview, one-click copy/download, install command generation, and a localStorage-backed history sidebar so users can browse and restore their recent generations across sessions. Key features: - Real-time SSE streaming of SKILL.md generation - Automated frontmatter and format validation with retry logic - Security scanner with score, risk level, and per-issue severity breakdown - Template quick-start system for common skill patterns - History persistence with localStorage (last 20 generations) - Fully responsive dark UI with the forge design system Tech stack: Python/FastAPI backend, React/TypeScript/Vite frontend, Claude API for generation, Tailwind CSS for styling. Deployed on Vercel.

Clawgov

ClawGov is an end-to-end governance toolkit that brings decentralized security and community oversight to OpenClaw AI agents. Built for the SURGE × OpenClaw Hackathon, it acts as an intelligent firewall and governance layer that prevents agents from executing dangerous or unapproved community skills. The core problem in open AI ecosystems is determining which agent capabilities (skills) are safe to run. Relying on centralized blacklists is slow and vulnerable. ClawGov shifts this power to the community through a four-step pipeline: First, the system Scans external skill registries like Moltbook to flag potentially risky code. Next, it allows users to Propose governance actions (e.g., banning a specific, high-risk scraping tool). The community then Votes on these proposals using SURGE-backed quadratic voting, which ties governance weight to network participation and ensures fair, Sybil-resistant outcomes. Finally, and most importantly, the system Enforces the community's will. Once a vote passes, ClawGov compiles the decision into a strict policy file deployed directly to the OpenClaw Gateway. If an agent attempts to execute a banned skill, the Gateway hook identifies the unauthorized action and blocks it at the network layer. ClawGov bridges Web3 incentive models with cutting-edge AI infrastructure, proving that decentralized communities can successfully govern autonomous AI behaviors in real-time.