OK, sample data is uploaded to data/sample in the git repo, and README.md updated with the build and run command lines. I've achieved a bit more strictness, again with great help from @dons, @dafis, and other great folks here and #haskell, but it's still slower than Clojure and occupies a bit more RAM -- though not as much as before. Now that the bangs are sprinkled around, it's slowed down. I'll profile this one tomorrow, but it works the 100K samples in a minute, so is wide open to instrumentation! Please help me build the fastest Twitter graph miner in Haskell! I'll keep the Clojure and an OCaml version as a real-world shootout and welcome improvements at any time. I'm especially interested in bringing concurrency to bear on it. http://github.com/alexy/husky -- this post corresponds to tag cafe2 -- Alexy