# chenwei810/Semiconductor_Manufacturing_Introduction > An open, beginner-friendly book that walks through the full semiconductor manufacturing flow, from sand to packaged chip, in Traditional Chinese, English, Japanese and Korean. It explains process steps, terminology and fab know-how without requiring a physics background. - Magnitude: 2.3 out of 10 — Steady - Stars: 137 total · +9 stars measured 2026-10-11, 17:18–19:28 UTC, ≈ 11 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Python · Created: 2026-10-11 · Last push: 2026-10-11 - GitHub: https://github.com/chenwei810/Semiconductor_Manufacturing_Introduction · Page: https://gitnova.dev/en/r/chenwei810/Semiconductor_Manufacturing_Introduction ## Useful for - Read chapters 0, 1, 11 and 14 for a quick overview of the semiconductor manufacturing flow. - Follow the software and firmware engineer reading path to understand how the process shapes firmware. - Use Appendix B to learn common fab jargon before joining the industry. ## Why it’s here - Star-counter measurements on 2026-10-11 (UTC), 17:18–19:28: 128 → 137 stars (+9). This is the change over that interval. - Estimated end-of-day forecast: about +11 stars, using observed gains and the previous day. - The repository is 0 days old and already has 137 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #173. - About 12 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 7 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 11 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 5 ## Stars per day, last 1 day (oldest → newest, today is partial) 2026-10-11 … 2026-10-11: 9 ## Spotted in now - Top new repositories this week: #173 ## More in this category 1. **rohitg00/ai-engineering-from-scratch** — 4.8 · Steady · Learning & lists · Python · +606 stars measured 2026-10-11, 00:39–19:23 UTC, ≈ 740 by evening Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server. Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md 2. **AIPMAndy/how-to-survive-unemployment** — 4.5 · Early signal · Learning & lists · HTML · +48 stars measured 2026-10-11, 12:27–19:24 UTC, ≈ 59 by evening An open-source Chinese guide for surviving unemployment: severance (N/N+1/2N), unemployment benefits, social security, housing fund and cash flow, with 50 action tasks, 6 SOPs and Beijing/Shanghai policy references. Full card: https://gitnova.dev/en/r/AIPMAndy/how-to-survive-unemployment.md 3. **avelino/awesome-go** — 4.1 · Steady · Learning & lists · Go · +141 stars measured 2026-10-11, 00:40–19:24 UTC, ≈ 173 by evening A curated list of Go frameworks, libraries, and software, organized by categories ranging from AI and databases to web frameworks and testing. Full card: https://gitnova.dev/en/r/avelino/awesome-go.md 4. **liquidslr/system-design-notes** — 3.6 · Steady · Learning & lists · +191 stars measured 2026-10-11, 00:39–19:24 UTC, ≈ 233 by evening Notes from Alex Xu's System Design Interview books (Vol 1 and 2), covering 28 classic system design problems — from rate limiters and key-value stores to YouTube, Google Drive, and a stock exchange. For interview preparation and studying… Full card: https://gitnova.dev/en/r/liquidslr/system-design-notes.md 5. **bojieli/ai-agent-book** — 3.5 · Steady · Learning & lists · Python · +127 stars measured 2026-10-11, 00:40–19:24 UTC, ≈ 156 by evening Open book on AI agent design principles and engineering practice: 10 chapters, PDF/EPUB in 15 languages, and 109 companion experiments with Python code. Full card: https://gitnova.dev/en/r/bojieli/ai-agent-book.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-11 19:34 UTC, updated every 30 minutes.