# ai-job-search-dev/ai-job-search > A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market. - Magnitude: 7.3 out of 10 — Peaking - Stars: 63,025 total · +95 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,273 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-03-18 · Last push: 2026-10-21 - GitHub: https://github.com/ai-job-search-dev/ai-job-search · Page: https://gitnova.dev/en/r/ai-job-search-dev/ai-job-search ## Useful for - Set up your profile from a documents folder or paste a CV in chat - Scrape job postings from Danish portals and sort them by fit - Generate a tailored CV and cover letter for a specific posting ## Why it’s here - Star-counter measurements on 2026-10-22 (UTC), 00:37–04:07: 62930 → 63025 stars (+95). This is the change over that interval. - Estimated end-of-day forecast: about +1,273 stars, using observed gains and the previous day. - Elevated gains were measured on the last 3 completed UTC days in a row. Continued growth is not guaranteed. - About 280 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: 19,459 - Issues and pull requests: 696 - Watchers: 217 - Average over the last week: 2,397 per day - Usual pace: 186 per day - Stars in the last hour (measured): 26 - Latest release: v1.7.3 (2026-10-19) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-23 … 2026-10-22: 86, 128, 100, 76, 198, 155, 132, 121, 106, 110, 71, 101, 96, 93, 92, 103, 91, 468, 358, 226, 251, 180, 816, 1218, 2095, 3379, 3973, 3203, 1635, 95 ## Magnitude by day, last 14 days 10-09 3.4, 10-10 3.5, 10-11 4.6, 10-12 4.9, 10-13 4.5, 10-14 4.4, 10-15 5.2, 10-16 6.2, 10-17 7.9, 10-18 8.2, 10-19 9.6, 10-20 9.8, 10-21 8.9, 10-22 7.4 ## More in this category 1. **google-research/harness2** — 7.8 · Peaking · AI agents · Python · +122 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,079 by evening A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks. Full card: https://gitnova.dev/en/r/google-research/harness2.md 2. **Graphify-Labs/graphify** — 6.8 · Breakout · AI agents · Python · +215 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,239 by evening Turns any codebase, docs, SQL schemas, configs, and PDFs into a queryable knowledge graph. Works as a /graphify skill in Claude Code, Cursor, Codex, and Gemini CLI with local deterministic AST parsing. Full card: https://gitnova.dev/en/r/Graphify-Labs/graphify.md 3. **aicodeking/pandacode** — 6.1 · Early signal · AI agents · Rust · +12 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 175 by evening A native desktop workspace for managing and running coding agents. It unifies projects, Git, terminal, and LLM tools in one window. Full card: https://gitnova.dev/en/r/aicodeking/pandacode.md 4. **bowenliang123/dsh-context** — 6.1 · Breakout · AI agents · TypeScript · +68 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 378 by evening A DeepSeek Harness plugin that visualizes an agent's context: dashboard, browser, sidebar panel and /context command showing composition, stats and evolution of the context window. Full card: https://gitnova.dev/en/r/bowenliang123/dsh-context.md 5. **DietrichGebert/ponytail** — 6.0 · Breakout · AI agents · JavaScript · +317 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,746 by evening A skill for AI coding agents (Claude Code, Codex, Copilot CLI, OpenCode) that enforces writing only the minimum necessary code via a laziness ladder: YAGNI, reuse, stdlib, native features. Benchmarks show ~54% less code and ~20% cheaper… Full card: https://gitnova.dev/en/r/DietrichGebert/ponytail.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 2026-10-22 04:18 UTC, updated every 30 minutes.