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Releases: beihaili/Get-Started-with-Web3

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Layer 2 English Coverage + AI-Native Index Update

Layer 2 English Coverage + AI-Native Index Update Latest
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@beihaili beihaili released this 20 May 06:47
l2-english-ai-index-2026-05-20
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Learn about vigilant mode.

Get Started with Web3 now has complete English coverage for the Layer 2 / cross-chain module.

Learner outcome: a beginner can compare major L2 ecosystems, understand bridge trust models, and follow a practical L2 onboarding flow in English.

What changed:

  • English lesson 9-3: Major L2 ecosystem comparison
  • English lesson 9-4: Cross-chain bridges and interoperability
  • English lesson 9-5: L2 practical guide
  • Public AI content index regenerated to 111 lesson entries
  • Module 9 English availability now covers lessons 9-2 through 9-5
  • Contributor starter queue refreshed to 13 open good-first issues

Start learning:
https://beihaili.github.io/Get-Started-with-Web3/en/learn/module-9/9-3

AI entrypoint:
https://beihaili.github.io/Get-Started-with-Web3/llms.txt

Contribute:
https://github.com/beihaili/Get-Started-with-Web3/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22

This is educational content only. It does not provide trading advice, token recommendations, or sponsored claims.

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Interactive Learning Update: Merkle Builder + Gas Fee Calculator

Interactive Learning Update: Merkle Builder + Gas Fee Calculator

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@beihaili beihaili released this 18 May 00:36
interactive-learning-2026-05-18
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Learn about vigilant mode.

Get Started with Web3 has a new pair of hands-on learning components for beginners and builders.

What's new

  • Merkle Tree Builder in the Bitcoin Cryptography lesson: type transactions, hash leaves, duplicate odd nodes, and inspect the Merkle root step by step.
  • EIP-1559 Gas Fee Calculator in the Account Abstraction lesson: adjust gas limit, priority tip, max fee, and refresh live base-fee / ETH-USD estimates with visible fallback states.
  • Both components are available in English and Chinese lessons and are covered by pure-function, component, and Markdown rendering tests.

Try it

Why this matters

The project is moving from static Web3 notes toward a bilingual, AI-native learning platform where learners can manipulate core concepts instead of only reading about them. AI agents can also discover the curriculum through llms.txt, the public content index, and the local read-only MCP server.

No token promotion, trading advice, or paid endorsement is included in this update.

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