# nachisama/ai-data-extractor > A Python tool that extracts local chat histories from AI coding assistants (Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more) into a single normalized JSONL format. Useful for backup, personal analytics, or preparing data for fine-tuning. - Magnitude: 3.4 out of 10 — Early signal - Stars: 93 total · +5 stars measured 2026-10-08, 17:40–19:40 UTC, ≈ 7 by evening - Star trust: star growth looks organic - Category: Data & analytics · Language: Python · License: MIT · Created: 2026-10-07 · Last push: 2026-10-07 - GitHub: https://github.com/nachisama/ai-data-extractor · Page: https://gitnova.dev/en/r/nachisama/ai-data-extractor ## Useful for - Back up chat histories from Cursor and Claude Code before the local database is cleared - Build a JSONL dataset of coding conversations for later model fine-tuning - Analyze your AI assistant sessions by project and model ## Why it’s here - Star-counter measurements on 2026-10-08 (UTC), 17:40–19:40: 88 → 93 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day. - The repository is 1 day old and already has 93 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #188. - About 33 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: 38 - Issues and pull requests: 0 - Watchers: 17 - Average over the last week: 20 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 2 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-04 … 2026-10-08: 0, 0, 0, 34, 5 ## Spotted in now - Top new repositories this week: #188 ## More in this category 1. **IAmTomShaw/f1-race-replay** — 5.7 · Breakout · Data & analytics · Python · +24 stars measured 2026-10-08, 10:59–19:38 UTC, ≈ 36 by evening A Python application for visualizing Formula 1 race telemetry and replaying race events with interactive controls and a graphical interface. Full card: https://gitnova.dev/en/r/IAmTomShaw/f1-race-replay.md 2. **fabio-rovai/open-ontologies** — 4.9 · Early signal · Data & analytics · Rust · +45 stars measured 2026-10-08, 00:02–19:39 UTC, ≈ 56 by evening A Rust tool for planning, applying and rolling back changes to production OWL/RDFS ontologies, with a blast radius report and a verifiable proof certificate. Full card: https://gitnova.dev/en/r/fabio-rovai/open-ontologies.md 3. **bilawalsidhu/gods-eye-view** — 4.4 · Steady · Data & analytics · JavaScript · +349 stars measured 2026-10-08, 00:03–19:39 UTC, ≈ 421 by evening A browser-based spy-satellite simulator on a photorealistic 3D globe that unifies public feeds: aircraft, ships, satellites, earthquakes, cameras, and traffic. Runs locally, with each layer as a separate module. Full card: https://gitnova.dev/en/r/bilawalsidhu/gods-eye-view.md 4. **duckdb/ducklake** — 4.1 · Breakout · Data & analytics · C++ · +23 stars measured 2026-10-08, 01:27–19:39 UTC, ≈ 28 by evening DuckDB extension for DuckLake, an open lakehouse format built on SQL and Parquet, storing metadata in a catalog database and data in Parquet files. Lets DuckDB read and write DuckLake tables directly. Full card: https://gitnova.dev/en/r/duckdb/ducklake.md 5. **D4Vinci/Scrapling** — 3.6 · Steady · Data & analytics · Python · +182 stars measured 2026-10-08, 00:03–19:40 UTC, ≈ 219 by evening An adaptive Python web scraping framework: the parser relocates elements when site markup changes, fetchers bypass anti-bot systems like Cloudflare Turnstile, and the spider system scales to concurrent multi-session crawls. Full card: https://gitnova.dev/en/r/D4Vinci/Scrapling.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 2026-10-08 19:54 UTC, updated every 30 minutes.