This project provides near real-time insights into software engineer compensation in India, sourced from LeetCode forums. It targets engineers seeking salary data, offering a curated and aggregated view of compensation trends.

How It Works

The tool fetches data from LeetCode forums, leveraging LLMs for parsing and sanitizing unstructured compensation posts. This processed data is then aggregated, with a two-day delay to allow for vote accumulation and filtering of posts with negative votes.

Quick Start & Requirements

• Install uv from standalone installers or PyPI.
• Create and activate a virtual environment (uv venv, source .venv/bin/activate).
• Install dependencies: uv pip install -r requirements.txt.
• LLM inference setup is required (local via Ollama/vLLM or API via OpenRouter), configured in config.toml.
• Data refresh command: export PYTHONPATH=. && python leetcomp/refresh.py && python leetcomp/parse.py.

Highlighted Details

• Bi-weekly data updates via GitHub Actions PRs.
• LLM-based parsing and sanitization of forum posts.
• Data filtering based on vote accumulation.

Maintenance & Community

Contributions are welcome via PRs, with a request to review CONTRIBUTING.md first.

Licensing & Compatibility

The license is not specified in the README.

Limitations & Caveats

The project is in an early stage, with features like sorting, pagination, and filtering still under development according to the roadmap. The license is not explicitly stated, which may impact commercial use.