Getting things done (in small increments)

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • datasette-enrichments-gpt

    Datasette enrichment for analyzing row data using OpenAI's GPT models

  • My trick for this, which has been working extremely well for me over the past few years, is to make very heavy use of GitHub Issues.

    Everything I'm working on, no matter how small, starts as an issue.

    I post a continuous stream of comments on that issue as I make progress - documenting what I tried, what failed, what I've figured out, what micro-decisions I've made.

    Many of my GitHub repos, both public and private, have issues with dozens of comments, all of which are me just talking to myself.

    This is the single best solution I've ever found to the "interruption" problem. If I get interrupted, or distracted, I can read through my issue thread later and pick up where I left off.

    I wrote a bit more about this approach here: https://simonwillison.net/2022/Nov/26/productivity/

    A recent example issue: https://github.com/datasette/datasette-enrichments-gpt/issue...

  • github-to-sqlite

    Save data from GitHub to a SQLite database

  • Yeah, I worry about that too. I have SO much of my stuff dependent on my GitHub account now.

    I'm slightly reassured by how useful their APIs are. I have automated exports of a lot of my GitHub issues, though I really should shore those up and make sure I'm capturing everything.

    That's one of the reasons I built https://github.com/dogsheep/github-to-sqlite

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