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Achievement: Public SponsorAchievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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iasolb/README.md

Ian Solberg

Data science and economics at Northeastern. I build small tools for public data and for working with AI coding agents, and publish the ones others might use. Rough edges included: all of it is in active use.

Tools you can use

what it is
otter empirical research in Python: regressions, forecasts, paper tables. pip install otter
fred-loader the FRED API with readable names instead of series codes
census-loader the US Census APIs with readable names instead of codes
ai-kit standalone tools for AI coding agents: test-floor gates, diff confinement, log summaries
data-kit CSV encoding repair, append-only file recovery, scrubbed notebook runs
cloud-kit moving work between machines: SSH sync, branch reconciling, stash triage
claude-workbench a template for keeping your Claude Code config in git

Writing and projects: iansolberg.us

Pinned Loading

  1. cloud-kit cloud-kit Public

    The cloud surface: syncing files and state between machines over Tailscale, plus the utilities that keep it running

    Python 1

  2. ai-kit ai-kit Public

    Map of how the AI tooling is laid out on a machine: one shared memory bank, a config workbench per model, and where each one deploys

    Python 1

  3. dev-kit dev-kit Public

    The dev surface: editor and tooling configuration as submodules, so one clone sets up a new machine

    PowerShell 1

  4. data-kit data-kit Public

    Validation, checks, and transforms that make messy data usable before anything else touches it

    Python

  5. research-kit research-kit Public

    One clone with submodules brings the analysis framework and API wrappers onto a new machine

    Jupyter Notebook