ajaykumarxo/extract-llms-docs

This is a minimal, early-stage utility project with no meaningful adoption (1 star, no forks, zero velocity over 337 days). The core function—extracting and parsing documentation files from websites—is a straightforward web scraping task using standard patterns. There is no novel approach; it implements commodity functionality (HTTP fetch + file parsing) applied to a narrow use case (LLM-specific documentation). The project demonstrates interest in the emerging llms.txt standard but offers no technical innovation, no ecosystem lock-in, no data gravity, and no moat. Frontier labs have zero incentive to compete with or integrate this; it solves a hyper-niche problem (automated doc extraction for LLMs) that doesn't align with their priorities. The defensibility is very low because: (1) the logic is trivially reproducible in a few lines of Python, (2) no users or community exist to create switching costs, (3) the approach is generic—any developer could build equivalent functionality in hours. This is a personal experiment or tutorial-grade tool, not a defensible product or infrastructure component.