Top Builders

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

Cursor

Cursor is an AI-powered integrated development environment (IDE) designed to help developers write, edit, and debug code more efficiently. Built on top of Visual Studio Code (VS Code), Cursor retains full compatibility with all VS Code functionalities and integrations, making it easy for developers to transition between IDEs. With advanced AI capabilities, Cursor improves workflows by providing intelligent code suggestions, predictive completions, and auto-updating code references, all aimed at reducing manual tasks. It also offers real-time collaboration features, context-aware code discussions, and proactive AI debugging, giving developers a powerful and intuitive environment for building software faster.

General
AuthorCursor
Release Date2023
Websitehttps://www.cursor.com/
Repositoryhttps://github.com/cursor
Documentationhttps://docs.cursor.com/
Technology TypeAI-Powered Integrated Development Environment (IDE)

Key Features

  • AI-powered Code Suggestions: Cursor provides contextual code predictions and completions, helping developers write code faster by suggesting what comes next, understanding the project structure, and updating references automatically.

  • Refactoring and Debugging: The AI helps in refactoring code by suggesting improvements and fixing linter errors within the code editor, making it easier to maintain code quality.

  • VS Code Extension Compatibility: Users can import VS Code extensions and key bindings, ensuring familiarity for those migrating from other environments.

  • Keyboard Shortcuts: With powerful shortcuts like Cmd + K for code generation and Cmd + L to open chat, Cursor enhances developer productivity by offering quick access to AI tools.

  • Collaboration Tools: Built-in features for chat-based coding, AI-assisted discussions, and the ability to track chat history make it ideal for teamwork and collaborative projects.

  • Chat with AI: Through the chat interface, developers can ask questions about their codebase, request code fixes, or get contextual assistance, making the coding experience more interactive and dynamic.

Start Working with Cursor

To start using Cursor:

  • Visit the official Cursor website and download the IDE.

  • Follow the instructions in the documentation for migrating from VS Code, which helps import your settings, extensions, and preferences.

  • Get acquainted with Cursor's features, such as AI-based code assistance, by reading the Cursor documentation for in-depth guides and usage tips.

Edit on GitHub

Cursor AI technology page Hackathon projects

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

Swarm

Swarm

Swarm is an autonomous agent commerce network built on Arc. An Orchestrator Agent receives a mission, breaks it into subtasks using AI, and hires Worker Agents (Scraper, Summariser, Validator) to complete each task. Every completed subtask triggers an instant sub-cent USDC payment via Circle Nanopayments settled on Arc. No batching, no subscriptions, no intermediaries. Pure per-action machine-to-machine commerce. This model is economically impossible on Ethereum mainnet where gas fees of $5-15 per transaction destroy the margin on sub-cent payments. Arc makes it viable with gas-free sub-cent transactions and sub-second finality.

SpArc: Instant Payouts

SpArc: Instant Payouts

SpArc reimagines how marketing campaigns operate by transforming them into programmable, performance-based economic systems. Instead of relying on upfront influencer contracts and fixed payments, campaigns are funded as pools and distributed dynamically based on real user engagement. Creators can participate openly and earn in two ways: through instant micropayments for clicks and through attribution-based payouts when conversions occur. The system uses a recency-weighted attribution model to fairly distribute conversion value across contributors. All payments are executed automatically using Circle’s wallet infrastructure and USDC on Arc Testnet, with every transaction verifiable on-chain. This creates a transparent, trustless environment where incentives are aligned and outcomes are measurable in real time. By lowering the barrier to entry for both campaign creators and participants, SpArc enables a more open and scalable model for digital marketing and user-generated promotion.

StreamArc

StreamArc

StreamArc is a pay-per-second video streaming platform built on Circle Gateway Nanopayments on ARC Testnet. Viewers deposit USDC once and pay only for the exact seconds they watch, pause and payments stop instantly. Creators earn every second their content is viewed, with payments settling gaslessly via EIP-3009 signatures off-chain through Circle's BatchFacilitatorClient. Built specifically for the ARC ecosystem, StreamArc gives crypto builders a dedicated home for project demos, protocol walkthroughs, tutorials, and community content organized by category and monetized from the first second of attention. Every new user gets a Circle developer-controlled EOA wallet automatically on signup. No seed phrases, no browser extensions, no manual setup. Deposits flow from the Circle wallet into the Gateway contract in one click. Withdrawals settle instantly via BurnIntent funds arrive in seconds. The platform takes a 20% fee on every second watched, split 80% to the creator and 20% to StreamArc. Creators can also receive tips directly via nanopayments, and viewers can bookmark, favourite, follow creators, and leave comments. StreamArc also introduces content ownership transfer, creators can list their video's revenue stream for sale, accept offers from buyers, and transfer full ownership via a three-way nanopayment split: 95% to the seller, 2.5% platform fee, and 2.5% royalty back to the original creator on all future resales. Buyers become the new revenue owner while the original creator retains attribution permanently. Creators can add timestamp markers so viewers jump to exactly what they need and pay only for those seconds. StreamArc is currently live on ARC Testnet and onboarding its first wave of whitelisted creators. The platform is built with Next.js 15, TypeScript, Supabase, Cloudflare Stream, Circle Developer-Controlled Wallets, Circle Gateway Nanopayments, x402 BatchFacilitatorClient, and deployed on Railway.

Agentic Task Swarm: Autonomous x402 Economy on Arc

Agentic Task Swarm: Autonomous x402 Economy on Arc

The Vision: Agentic Task Swarm is a fully autonomous machine-to-machine economy. We built a system where a Coordinator Agent (Gemini 3.1 Pro) delegates data-gathering tasks to a Worker Agent (Gemini 3 Flash). The Worker locks the data behind an HTTP x402 Paywall, requiring exactly $0.005 USDC to release it. The Margin Explanation (Why Arc?): If our AI agents used traditional payment gateways like Stripe to settle a $0.005 data request, the $0.30 flat fee would instantly destroy our business model. Similarly, traditional Layer-1 gas fees (like Ethereum) would eat the entire margin. Arc and Circle Nanopayments solve this by enabling high-frequency, gas-free, sub-cent USDC settlements. This makes true micro-commerce between AIs mathematically profitable. Architecture & Autonomy: To achieve zero human intervention, our backend utilizes Circle Developer-Controlled Wallets. By leveraging the ENTITY_SECRET, the Coordinator AI autonomously signs and authorizes the $0.005 transactions. Our live demo proves this by generating over 50+ on-chain settled transactions in a continuous loop. Resiliency (Fallback Protocol): We built for production. If the primary Gemini API hits a rate limit, our system's fallback engine instantly routes requests to Featherless AI, ensuring the agentic economy never halts.

CliniPay Arc

CliniPay Arc

CliniPay Arc is a Clinical Arc–style HealthTech demonstration that wires common NHS interoperability patterns to Arc Testnet USDC using HTTP 402 / x402 nanopayments. It reframes how clinical data APIs are commercialised: today, vendors like EMIS and TPP charge flat annual partner-programme fees plus per-integration licensing, and EPR platforms (Epic at Lewisham & Greenwich £52M, Somerset & Dorset £222M) bury interop inside ten-year contracts. Agents, however, call APIs per-millisecond. CliniPay Arc shows a per-call settlement lane built for that traffic. The project showcases four primary surfaces: a local SNOMED CT RF2 browser (SQLite-backed search and concept detail, with optional paid LLM-assisted concept summary); NHSBSA dm+d intelligence (free wardle-compatible search plus paid lookup and prescribing summary); an NHS UK "open data" lane that grounds paid retrieval and synthesis in curated CSV datasets; and Confidential Data Rails (CDR) vault workflows with policy framing and file-handling patterns suitable for a demo. A shared shell provides wallet connectivity, facilitator selection (Circle Gateway vs Thirdweb EIP-3009), and transparent balance UX. An optional on-chain runner supports hackathon-style evidence gathering, separate from the clinical demos. Stack: React 19 + TypeScript + Vite client, Express server, OpenAPI discovery, local data-prep scripts. All clinical content is synthetic or reference-only — this is an engineering and payments interoperability prototype for judges and builders, not a clinical system

django_x402_arc

django_x402_arc

`django_x402_arc` is a Django paywall toolkit that enables true per-request USDC monetization on Arc using x402 + Circle Gateway. It lets developers add programmable micropayments to existing APIs with minimal code changes: apply @monetize("...") to a view, and the module handles payment-required responses (HTTP 402), payment signature verification, settlement, and payer attribution before business logic executes. This project is designed for the “agentic economy” use case where machines, APIs, and services transact at sub-cent granularity. Instead of relying on subscriptions or fixed billing plans, each endpoint can be priced per action (including <= $0.001 requests), making high-frequency, usage-based API commerce economically viable. It supports both sync and async Django views, with the async path being the most reliable for high-frequency transactions. A complete demo app (test_django_api_project) proves real-world behavior: a decorated paid endpoint, environment-based setup, buyer wallet generation helper, and a live simulation script that repeatedly calls the API and performs payment flow end-to-end. The simulation includes detailed failure diagnostics and was used to validate >50 transaction-style interactions under micropayment pricing. The architecture separates concerns cleanly: Django views remain simple, while payment orchestration is centralized in the module. This makes integration straightforward for teams building paid APIs, usage-metered compute, and machine-to-machine workflows. Current improvement areas include dynamic endpoint pricing from a data table (instead of hardcoded decorator values) and additional hardening for non-async endpoints under very high request frequency.