Tools, apps and side projects

Web apps, games, music tools and research side projects, mostly outside my work on The Unjournal. See them all with screenshots at projects.davidreinstein.org.

Music

  • Blues Flow: Play and study 18 versions of the 12-bar blues in any key, from the basic three-chord form to Charlie Parker’s ‘Bird’ changes. (Source)
  • Can AI write a modern jazz tune?: Claude and GPT coding agents each composed modern jazz tunes over two rounds. Listen, read the charts and vote before seeing the results.
  • Jazz Practice Hub: Repertoire tracker, setlist builder, 12-key technique grid, practice-plan generator and metronome drills in one page.
  • Local jazz calendar: Jazz concerts and jam sessions within about an hour of Monson or Framingham, Massachusetts.
  • GTD Trio: Guitar, tuba and drums jazz trio in Western Massachusetts.
  • K-House Jazz: A flexible live jazz group in Exeter, Devon.

Games and everyday tools

  • Word Bocce: A multiplayer word game played in meaning-space. Add and subtract words to roll your ball toward a target word; word-vector similarity decides who is closest. (How to play) (Source)
  • Library of Things finder: Search about 2,000 tools, tech and gear you can borrow from public libraries and tool-lending libraries, starting in Massachusetts and spreading across the US. (Source)
  • Meeting scheduler: Offer candidate times, share one link, watch responses come in and pick the best slot. Built for Unjournal team meetings. (Source)
  • Who’s available: A shared room where people say when they’re free for a chat and how to reach them. No account needed; make a room for any group.

Ideas and proposals

Research and giving

  • Impact Products Directory: Search organizations and products connected to substantial charitable giving. Every entry links to the original claim, its source and a confidence rating. (Source)
  • Just Ask the Model: Co-authored study comparing one-shot LLM evaluations of social-science research with structured expert review.
  • Will AI wealth flood EA philanthropy soon?: A sourced model and dashboard of how wealth from AI labs might, or might not, turn into philanthropic funding.
  • Prioritization ML Lab: Simulations of preference learning, reward models, calibration and active learning, built while designing a research-prioritization pipeline.
  • Increasing effective giving: The puzzle of why people don’t give more effectively, what the evidence says, and what we still need to learn.
  • Impact of impact information on giving: Field experiments and synthesis on whether telling donors about effectiveness changes what they give.
  • EA Market Testing: Public reports from a team running marketing and messaging trials with effective-giving organizations. (Data analysis)

Teaching and methods notes

Unjournal tools

This list is generated from the same data as projects.davidreinstein.org.