I started aggregating and analyzing network data from CT (Crypto Twitter)(influencers, projects, developers). Here is what I've learned: 1. Tracking who follows is very noisy. It might be an interesting flex on popularity (Remember Klout?), but it does not seem to lead to actionable insights. At scale,

Some thoughts on why you should be nice to a recruiter when they reach out

Setting up a production-ready, full-archive Tezos node with a VM and docker-compose.

Success is the iterative process of many small failures– small bets made over and over again. Each time is slightly different, eventually leading me to an acceptable outcome.

Quickly develop async task queues with only django commands and postgresql. I dont need the complexity of Kafka, RabbitMQ, or Celery.

Quick docker/docker-compose setup of how to use caddy to serve your files