Hi, I'm Annie 👋
Former data scientist. Current data hoarder. Building kibble.shop because financial data shouldn't require a Bloomberg terminal and a six-figure budget.
The mission
I spent years wrangling financial data at my day job — downloading CSVs from government sites at 2am, reverse-engineering APIs, writing the same cleaning scripts over and over. One day I realized: everyone is doing this. Thousands of analysts, developers, and hobbyist traders all solving the same data plumbing problems independently.
kibble.shop exists to fix that. One place where public financial data is cleaned, structured, governed, and ready to use — whether you're building a dashboard, training a model, or just trying to understand what the Fed is doing this week.
What you get
Curated data products
Not raw dumps — actual data products with documentation, quality checks, and consistent schemas. From Treasury yields to congressional trading disclosures.
Human-friendly & developer-ready
Browse data visually on the site, or pull it programmatically via API. Same data, two interfaces. Pick your flavor.
Transparency baked in
Every dataset has lineage — where it came from, how it was transformed, when it was last updated. No black boxes.
Why is it free?
Because I'm building this in public, and community comes first. The data is sourced from public government and regulatory filings — it should be accessible to everyone, not locked behind paywalls.
Right now, the goal is simple: build something genuinely useful, get feedback from real users, and grow the catalog based on what people actually need. Premium features may come later, but the core data stays free.
Where does the data come from?
Every dataset on kibble.shop starts with publicly available financial data — think SEC filings, Federal Reserve releases, Treasury reports, BLS statistics, and congressional disclosure records.
I collect, clean, normalize, and enrich that data into consistent, well-documented products. Derived signals (like yield curve inversions or insider trading patterns) are computed on top and clearly labeled. No proprietary black-box magic — just solid data engineering applied to public information.
Sound interesting?
We're adding new data products every week. Jump in early.