# lukeTheNeuromancer/system-design-notes-zh > Chinese translation of notes based on Alex Xu's "System Design Interview" books (Volumes 1 and 2), covering 28 chapters from scaling to designing a stock exchange. Material for preparing for system design interviews. - Magnitude: 5.1 out of 10 — Early signal - Stars: 106 total · +23 stars today, ≈ 69 by evening - Star trust: star growth looks organic - Category: Learning & lists · Created: 2026-09-23 · Last push: 2026-09-23 - GitHub: https://github.com/lukeTheNeuromancer/system-design-notes-zh · Page: https://gitnova.dev/en/r/lukeTheNeuromancer/system-design-notes-zh ## Useful for - Prepare for a system design interview by studying chapters on rate limiters and consistent hashing - Learn design approaches for chat, news feed, and search autocomplete systems - Find supplementary articles for each topic via the Additional Resources section ## Why it’s here - 23 stars so far today, about 69 expected by the end of the day. - The spike has held for 2 days in a row — not a one-off blip. - The repository is 1 day old and already has 106 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #169. - About 18 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: 8 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 78 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 9 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-24: 0, 0, 0, 87, 23 ## Spotted in now - Top new repositories this week: #169 ## More in this category 1. **amitshekhariitbhu/ai-engineering-course** — 5.8 · Early signal · Learning & lists · Markdown · +30 stars today, ≈ 101 by evening A free, structured AI Engineering course with 18 modules and 146+ lessons: from ML basics and Transformers to LLMs, RAG, agents, inference, evaluation, and AI safety. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineering-course.md 2. **yibie/awesome-jev** — 5.2 · Peaking · Learning & lists · Python · +21 stars today, ≈ 98 by evening A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions (choice, score, boolean with confidence). Full card: https://gitnova.dev/en/r/yibie/awesome-jev.md 3. **heyjunpenn/awesome-jev** — 5.1 · Early signal · Learning & lists · Astro · +3 stars today, ≈ 60 by evening A catalog of 530 open-source projects built with Jev, TypeSafe AI's System One model for typed decisions inside software. It serves as a curated list of implementations, SDKs, and tooling for evaluating the Jev ecosystem. Full card: https://gitnova.dev/en/r/heyjunpenn/awesome-jev.md 4. **cdyforever/how-to-live-better** — 4.8 · Early signal · Learning & lists · HTML · +20 stars today, ≈ 84 by evening A single-file HTML reading page for the open book "High Cost-Performance Life Guide" — 528 tips across 32 sections, searchable, offline-capable, zero dependencies. Full card: https://gitnova.dev/en/r/cdyforever/how-to-live-better.md 5. **Miaotofu01/Study-Mate** — 4.7 · Early signal · Learning & lists · Python · +3 stars today, ≈ 44 by evening StudyMate is a "learning mode" preset for DSH (DeepSeek Harness) plus a set of SKILLs: it builds a study roadmap for math and CS subjects and generates HTML lessons with explanations, exercises and hands-on projects. Full card: https://gitnova.dev/en/r/Miaotofu01/Study-Mate.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 2026-09-24 09:22 UTC, updated every 30 minutes.