KaggleIngest

Kaggle Ingest converts Kaggle competition data into a token-optimized context file for large language models, solving the problem of providing LLMs with relevant competition context. It targets data scientists and developers who participate in Kaggle competitions, from individual freelancers to enterprise teams. The tool is positioned as a SaaS with an open-source component, offering a free tier, and it differentiates by focusing on token efficiency and instant feature engineering.

Key features

• Token-optimized context generation
• Instant feature engineering
• Context notebooks for analysis
• Add private credentials (kaggle.json)
• LLM optimized to save tokens