# AIPMAndy/how-to-survive-unemployment > 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. - Magnitude: 4.0 out of 10 — Early signal - Stars: 136 total · +9 stars measured 2026-10-11, 12:27–13:52 UTC, ≈ 23 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: HTML · License: MIT · Created: 2026-10-09 · Last push: 2026-10-09 - GitHub: https://github.com/AIPMAndy/how-to-survive-unemployment · Homepage: https://aipmandy.github.io/how-to-survive-unemployment/ · Page: https://gitnova.dev/en/r/AIPMAndy/how-to-survive-unemployment ## Useful for - Check severance amount and payment date before signing layoff papers. - Calculate how many months of buffer your cash covers. - Plan unemployment benefit and health insurance application steps. ## Why it’s here - Star-counter measurements on 2026-10-11 (UTC), 12:27–13:52: 127 → 136 stars (+9). This is the change over that interval. - Estimated end-of-day forecast: about +23 stars, using observed gains and the previous day. - The repository is 2 days old and already has 136 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. ## 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: 1 - Watchers: 0 - Average over the last week: 34 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-09 … 2026-10-11: 19, 59, 9 ## Spotted in now - Top new repositories this week: #169 ## More in this category 1. **rohitg00/ai-engineering-from-scratch** — 4.6 · Steady · Learning & lists · Python · +375 stars measured 2026-10-11, 00:39–13:51 UTC, ≈ 644 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. **wuyoscar/AISafetyHot-Hub** — 3.6 · Breakout · Learning & lists · TeX · +205 stars measured 2026-10-11, 00:40–13:52 UTC, ≈ 317 by evening A public hub of daily AI safety digests: news, papers and incidents in md/bib/json, plus instructions for connecting it to agents. Free access, no API key required. Full card: https://gitnova.dev/en/r/wuyoscar/AISafetyHot-Hub.md 3. **awesome-dsh-plugin/awesome-dsh-plugin** — 3.6 · Steady · Learning & lists · JavaScript · +65 stars measured 2026-10-11, 00:40–13:52 UTC, ≈ 108 by evening A curated list of plugins for DeepSeek Harness (dsh) — a collection of extensions for this environment. Useful for those looking for ready-made dsh plugins. Full card: https://gitnova.dev/en/r/awesome-dsh-plugin/awesome-dsh-plugin.md 4. **bojieli/ai-agent-book** — 3.5 · Steady · Learning & lists · Python · +92 stars measured 2026-10-11, 00:40–13:52 UTC, ≈ 159 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 5. **liquidslr/system-design-notes** — 3.4 · Steady · Learning & lists · +113 stars measured 2026-10-11, 00:39–13:52 UTC, ≈ 193 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 --- 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 14:01 UTC, updated every 30 minutes.