Top all-time · #7962
Michael Chavinda
Personal blog · mchav.github.ioprogrammingdataai
Michael Chavinda's personal blog at mchav.github.io covers programming, data and ai. Since 2016, 10 different Hacker News readers have linked it 16 times, most often “What category theory teaches us about dataframes”. It is still writing: the last post was on 2026-08-26, and you can follow it by feed.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
HN readers link this blog for a post on how category theory applies to data frames. It was cited in a thread on categorical databases as a good blog post on that topic.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
A collection of my thoughts on the various topics I find myself interested in.
Most-linked posts?
- What category theory teaches us about dataframes3 people · 3 mentions · first linked 2026-03-29
- Learning better decision tree splits – LLMs as Heuristics for Program Synthesis2 people · 2 mentions · first linked 2026-01-17
- Frege on Android2 people · 2 mentions · first linked 2016-11-27
What Hacker News says?
There was a good blog post on how the category theoretic ideas behind this applies to data frames What Category Theory Teaches Us About DataFrames https://mchav.github.io/what-category-theory-teaches-us-abou... Discussed on HN at (67 comments) https://news.ycombinator.com/item?id=47561426
Comment linking /what-category-theory-teaches-us-about-dataframes/
on “CQL: Categorical Databases”Submitted Rewriting Dataframes for MicroHaskell as a story · 60 points
HN discussionSubmitted Benchmarking Haskell dataframes against Python dataframes as a story · 10 points
HN discussionSubmitted Context complexity: what is the Big-O of an agent API? as a story · 4 points
HN discussionSubmitted What category theory teaches us about dataframes as a story · 3 points
HN discussionSubmitted Frege on Android as a story · 3 points
HN discussionSubmitted Introduction to program synthesis pt 2: Automatically generating features for ML as a story · 2 points
HN discussionSubmitted Frege on Android as a story · 2 points
HN discussionSubmitted Pandas feels clunky coming from R. What about Haskell? as a story · 1 points
HN discussionSubmitted Interpretable models with boosting, symbolic regression and e-graphs as a story · 1 points
HN discussionSubmitted What Category Theory Teaches Us About DataFrames as a story · 1 points
HN discussionSubmitted Learning better decision tree splits – LLMs as Heuristics for Program Synthesis as a story · 1 points
HN discussionSubmitted Learning better decision trees – LLMs as Heuristics for Program Synthesis as a story · 1 points
HN discussionSubmitted An Introduction to Program Synthesis as a story · 1 points
HN discussionSubmitted Functional inheritance in Android as a story · 1 points
HN discussionSubmitted Towards shell tab completion as a story · 1 points
HN discussion