Top Builders

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

Claude Code

Claude Code is an advanced command-line interface (CLI) tool developed by Anthropic, designed to empower its AI model, Claude, with direct code interaction capabilities. This tool allows developers to leverage Claude for agentic coding tasks, including refactoring, debugging, and managing code within the terminal environment. It integrates Claude's powerful language understanding with practical development workflows, bringing AI assistance directly to the codebase.

General
AuthorAnthropic
Release Date2024
Websitehttps://code.claude.com/
Documentationhttps://code.claude.com/docs/en/overview
Technology TypeAI Coding Assistant

Key Features

  • Agentic Coding: Enables Claude to perform complex coding tasks autonomously, guided by natural language instructions.
  • Terminal Integration: Works directly within the command line, providing a seamless experience for developers.
  • Code Refactoring: Assists in improving code quality, structure, and efficiency.
  • Debugging Support: Helps identify and resolve issues in the codebase.
  • Code Management: Facilitates various code-related operations, enhancing developer productivity.
  • Natural Language Interaction: Developers can interact with Claude using plain language prompts for coding tasks.

Start Building with Claude Code

Claude Code offers a powerful way to integrate Anthropic's Claude AI directly into your coding workflow. By providing agentic capabilities from the terminal, it streamlines refactoring, debugging, and general code management. Developers can leverage this tool to accelerate development, improve code quality, and benefit from AI assistance in real-time.

👉 Claude Code CLI Guide 👉 Claude Code Quickstart

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Anthropic Claude Code AI technology Hackathon projects

Discover innovative solutions crafted with Anthropic Claude Code AI technology, developed by our community members during our engaging hackathons.

AIdeazz: 9 LIVE AI Agents + Web Intel

AIdeazz: 9 LIVE AI Agents + Web Intel

Production AI system where Claude itself uses Bright Data — autonomously deciding which searches to fire and which pages to scrape — to turn the live web into sendable business intelligence. Live on Oracle Cloud free tier. 9 LIVE agents + SEO/GEO/AEO marketing engine. 50+ current HubSpot deals. Early traction (live example: EspaLuz WhatsApp Bilingual Tutor). Full portfolio: aideazz.xyz/portfolio The headline: /research_* Telegram commands /research_company <name> → CLIENT pitch + HOT/WARM/COLD verdict /research_employer <name> → HIRING intel + application angle /research_competitor <domain> → SEO/AEO blog topic gaps src/research-agent.ts — Claude Sonnet 4.5 tool-use loop with 3 BD tools (bd_serp_search, bd_unlock_url, bd_scrape_browser). Claude decides count + URLs + when to stop. Max 8 calls / 120s. Live proof — decircle.io, 86s, 7 BD calls: "Saw you're hiring a Head of BD to build Midas's distribution engine — would a 2-week AI marketing sprint make sense?" 4 Bright Data products, one shared token Web Unlocker (bdFetch) — every HubSpot deal auto-enriched with founder + tech stack + funding. Powers VJH LinkedIn Jobs (120/cycle). SERP API (bdSerpSearch via WU proxy + brd_json=1) — replaced paid SerpAPI. Scraping Browser (bdScrapingBrowserFetch + bdSmartFetch orchestrator) — escalates from WU only when JS-gated. MCP Server (.mcp.json) — exposes @brightdata/mcp to Claude Code IDE. Signal flow: Web → Bright Data → Claude loop → /api/crm-event → HubSpot → Trello current-month → Lead Brief Telegram (8 AM Panama, 🆕/🔥/⏰ freshness buckets). Track 1 (GTM Intelligence) — every bullet = live code "Agents research accounts autonomously" = /research_*. "Lead enrichment into CRM" = brightdata-enrich → HubSpot. "Live signals into briefs" = daily Lead Brief. "Buying intent before vendor feeds" = Algom X stream + cron. Built solo over 15 months using Claude Code + Cursor as daily AI-augmentation infrastructure. Repo: github.com/ElenaRevicheva/AIPA_AITCF

Medicare AI — Health Intelligence Platform

Medicare AI — Health Intelligence Platform

Medicare AI is an intelligent healthcare data platform built for the Web Data Unlocked Hackathon. It leverages Bright Data's Web Unlocker and Scraper APIs to collect and aggregate live Medicare and public health data from government and health websites in real time. The platform presents this data through a clean, user-friendly React interface that helps patients, caregivers, and researchers understand healthcare options, pricing, and coverage information. By combining Bright Data's powerful web data infrastructure with AI-driven insights, Medicare AI transforms raw, scattered public health data into structured, actionable intelligence — making healthcare navigation easier and more transparent for everyone.

LaunchPilot AI

LaunchPilot AI

LaunchPilot AI is an AI-powered go-to-market operating system built for founders, startups, and growth teams. The platform uses Bright Data web intelligence tools and AI agents to automate the most time-consuming parts of early-stage market research and GTM planning. Users enter a startup idea, product, or website, and LaunchPilot AI automatically researches live web data from search engines, competitor websites, public discussions, reviews, and online communities. The platform then analyzes the data to identify competitors, uncover customer pain points, detect market opportunities, generate ideal customer profiles, and create actionable go-to-market strategies. Key features include: AI-powered market research Competitor intelligence tracking Pain-point mining from public web discussions ICP generation GTM strategy builder Opportunity scoring Customer language extraction Launch content generation Live market signal monitoring By combining real-time web intelligence with AI-driven workflows, LaunchPilot AI helps teams move from idea to launch faster while making smarter go-to-market decisions with less manual research.

GhostNet AI — Phishing & Impersonation Detector

GhostNet AI — Phishing & Impersonation Detector

GhostNet AI is an autonomous threat intelligence system built for security and brand protection teams. Every day, attackers register typosquatted domains, clone legitimate websites, and create fake social media profiles to defraud customers and steal credentials — and most companies only discover this after the damage is done. GhostNet AI flips that timeline. Given a company's brand name, official domain, and social handles, the system automatically deploys a multi-stage detection pipeline powered by Bright Data's live web infrastructure. First, the SERP API runs targeted searches across Google and Bing — queries like "[brand] login", "[brand] customer support", and "[brand] official site" — surfacing results that do not belong to the real company. Second, the Web Unlocker accesses social platforms and domain registrar data to identify fake profiles and typosquatted domain variations (character swaps, added words, homoglyph substitutions). Third, the Scraping Browser captures full-page screenshots of each suspicious URL as timestamped evidence. Every detected threat is passed to Claude, which scores it on threat type (phishing, fraud, brand dilution), confidence level, and urgency. Claude then auto-drafts a takedown report per threat — including the evidence screenshot, the relevant abuse contact or registrar email, and a ready-to-send cease-and-desist notice. The result is a live threat dashboard that any security or legal team can act on immediately, turning a process that previously took days of manual searching into a sub-two-minute automated workflow. GhostNet AI is built for the Security and Compliance track, addressing the real enterprise problem of brand impersonation at scale — with live web data as its core intelligence layer.

Strikebase — Freelance Bid Intelligence

Strikebase — Freelance Bid Intelligence

Freelancers waste hours every week applying for jobs they won't win — not because they're unqualified, but because they're flying blind. Job boards show listings. ChatGPT can only work with what you give it. Neither tells you how many people are already bidding, whether the client has a history of payment disputes, or what the winning bid rate actually looks like this week. Strikebase fixes that. We built an AI agent that monitors live freelance platforms in real time and returns a Strike Score — a 0 to 100 win probability — for every opportunity, backed by live scraped data no one else surfaces. Each score comes with three specific, number-backed reasons ("only 4 bids placed so far, platform average is 23"), red flags if any exist, and a suggested proposal opening line tailored to what's working right now. The core intelligence stack uses all four Bright Data tools: the SERP API to discover fresh listings across Upwork and Freelancer.com; the Web Scraper API to extract structured listing data including bid counts, budgets, and client IDs; the Web Unlocker to bypass bot detection and pull full client profiles (total spent, hire rate, dispute history); and the MCP Server to connect all of that live scraped data directly into Claude's reasoning layer. On top of the scraping pipeline, we aggregate real-time market rate percentiles (P25, median, P75) for each skill category from the current week's data — so freelancers know exactly where their rate sits in the live market, not last year's averages. For experienced freelancers, Strikebase is a competitive edge. For newcomers with no baseline for rates or client quality, it's a lifeline. One product, two markets, one sentence. Stack: Next.js, FastAPI, Python, Supabase, Anthropic Claude API, Vercel, Render.

UtilityWatch

UtilityWatch

UtilityWatch is an open-source AI agent platform that solves a real and painful problem for property managers: manually checking dozens of utility portals every month to track bills, balances, and due dates across multiple properties. Property management companies typically handle 20 to 100+ properties, each with separate accounts for electricity, gas, water, trash, and other services. Today, this process is entirely manual — someone logs into each portal one by one, copies the balance, and records it somewhere. A missed payment can mean a service cutoff at an occupied property, which is a serious operational and reputational failure. UtilityWatch replaces this with autonomous AI agents that navigate utility provider portals, authenticate, extract current balances and due dates, and write them to a central database. The live dashboard gives property managers a single view of all obligations, color-coded by status: current, due soon, overdue, or paid. The platform is built on Node.js with Playwright for browser automation, and uses Bright Data's Scraping Browser and Web Unlocker to bypass anti-bot protections that block conventional scrapers — including Akamai-protected portals, sites with reCAPTCHA, and portals requiring MFA flows. This makes the platform generalizable: any utility provider portal can be added as a new agent module. The system is already running in production for 30+ properties in Southern California, covering 13 utility providers and 116 billing obligations. The hackathon deliverable focuses on packaging this as a reusable, open-source tool that any property management company can deploy, with Bright Data as the infrastructure layer that makes it work at scale without IP bans or CAPTCHA failures.