Get-Started-with-Web3
Open-source bilingual AI-native Web3 curriculum: wallets, Bitcoin, Ethereum, DeFi, L2, DAO, smart accounts, llms.txt and MCP.
beihaili/Get-Started-with-Web3 is ranked 16,053 with 614 stars.
beihaili/Get-Started-with-Web3 is ranked 16,053 among these 8 peers; pplonski/my_ml_service is ranked 16,059.
| Name | Rank | Metrics |
|---|---|---|
| NourozR/Stock-Price-Prediction-LSTM | 16,012 |
|
| SeedV/generative-ai-roadmap | 16,013 |
|
| Building-ML-Pipelines/building-machine-learning-pipelines | 16,036 |
|
| Syndrome777/DeepLearningTutorial | 16,039 |
|
| pplonski/my_ml_service | 16,059 |
|
| SUKHMAN-SINGH-1612/Data-Science-Projects | 16,062 |
|
| entbappy/Setup-NVIDIA-GPU-for-Deep-Learning | 16,069 |
|
| xbresson/GML2023 | 16,081 |
|
| Parameter | Value |
|---|---|
| Language | JavaScript |
| Category | Tutorials |
| Subcategory | Getting started |
| Keywords | Education, Finance, MCP, Webdev |
| Stars | 614 |
| Forks | 61 |
| Contributors | 17 |
| Created date | 2022-08-02 |
| Updated date | 2026-10-02 |
| Stars in 1 day | 0 |
| Stars in 7 days | 0 |
| Rank | 16,053 |
| Previous rank | 15,853 |
| Rank change | -200 |
| 7-day stars rank | 15,321 |
| Previous 7-day stars rank | 15,332 |
| 7-day stars rank change | 11 |
| Total stars rank | 16,475 |
| Previous total stars rank | 16,448 |
| Total stars rank change | -27 |
Get Started with Web3 An open-source, bilingual, AI-native Web3 curriculum for beginners, builders, and agents. 11 modules, 62 lessons, AI Tutor, badges, SEO prerendering, a versioned REST API, llms. This project turns that mess into a structured learning path that can be read by humans and queried by AI agents. If this repo helps you learn or teach Web3, please star the project so more learners can find it. | | **Builders** | Move from concepts to DApps, smart contracts, block
explorers, Bitcoin RPC, DeFi, L2, and DAO tooling. | | **Researchers** | Review Bitcoin, Ethereum, DeFi, L2, DAO, bridge, and stablecoin concepts in one curriculum. | | **AI agents** | Search, read, cite, and compose course context through the REST API, , JSON artifacts, and MCP. | | **Sponsors** | Support open-source Web3 education and reach learners before they choose their default tools. | Project Boundaries This repository is a curriculum and AI-readable knowledge layer first. It will add focused labs for modern Web3 concepts, but those labs are
educational examples, not a production dApp starter kit. This project is not investment advice, token promotion, exchange onboarding, or a virtual-currency business service. Wallet, SIWE, x402, certificate, sponsor, and paid-tool materials must be clearly labeled as demos, metadata, drafts, or future plans until the relevant production systems are actually live and verified. Useful commands: AI Agents and MCP This repository exposes a machine-readable content layer for AI agents: Example agent workflow: For MCP clients that accept an
JSON block, copy this config and replace with your local repository path: Then connect an MCP client and use: to find relevant lessons and glossary entries. to get role-based beginner, builder, researcher, or investor paths. to build a bounded context pack with citations. to inspect future x402-ready paid-tool metadata. They do not enforce payment, sign transactions, or perform chain operations. x402 fields are reserved metadata for future hosted paid tools. The REST API exposes the same generated
content index over versioned, cacheable JSON endpoints with no authentication. It is live on a dedicated Vercel Functions host; remains the website host and is not the API base URL. See the API documentation or the production OpenAPI document. AI artifacts are maintained as a stable v1 public surface through ; see AI-native v1 stability and monetization decision. Tech Stack **Frontend:** React 19 + Vite + Tailwind CSS **State:** Zustand **Routing:** React Router **Content:** Markdown in and **Rendering:** react-markdown + remark-gfm
+ rehype-raw **AI Tutor:** Gemini with user-provided API key **Agent layer:** versioned REST API, , generated JSON artifacts, **SEO:** sitemap generation, OG image generation, prerendering **Testing:** Vitest + happy-dom + Testing Library **CI/CD:** GitHub Actions to GitHub Pages Contributing Good first contributions: Fix outdated or unclear lesson content. Improve accessibility, mobile UX, or tests. Add examples, diagrams, and case studies. Start here: Contributing guide Contributor ladder Contributor spotlight template Contributor spotlights Good first issues catalog Open good first issues All
issues Support and Sponsorship This project keeps learning content free. Support helps fund maintenance, translation, new lessons, and AI-native
How many stars and forks are recorded?
beihaili/Get-Started-with-Web3 has 614 stars and 61 forks.
What is the repository rank?
beihaili/Get-Started-with-Web3 is ranked 16,053.
What language and category are recorded?
beihaili/Get-Started-with-Web3 has 614 stars, uses JavaScript and belongs to Tutorials.
Which repository is closest in rank?
beihaili/Get-Started-with-Web3 is compared with pplonski/my_ml_service, ranked 16,059 with 614 stars.