Enabling Codex to Analyze Two Decades of Hacker News Data
modolap.com
April 2, 2026
1 min read
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44/100
Summary
Modolap enables Codex to analyze approximately 10GB of Hacker News data stored in parquet files. The initial analysis focuses on comparing mention history of programming languages, specifically Rust versus Go, and MySQL versus Postgres.
Key Takeaways
- The Hacker News dataset is approximately 10GB in size and stored in parquet files.
- Modolap enables Codex to analyze historical keyword-based topic mentions in Hacker News data.
- Initial analysis indicates that mentions of Rust have surpassed those of Go, and there is a gradual decline in the average length of comments.
- The analysis includes comparisons between Postgres and MySQL as well as Codex and Claude Code.
Community Sentiment
Positives
- Using Codex for data analysis with SQLite demonstrates its practical application in transforming raw data into structured insights, showcasing its utility for developers.
- The ability to generate PDF graphs from Codex prompts highlights its versatility in data visualization, making complex analytics more accessible.
Concerns
- The lack of clarity on how Modolap differentiates itself from existing OLAP engines raises concerns about its unique value proposition and relevance in the market.