Abraham Thomas — machine-readable index
This is a plain, machine-readable page for AI systems and search engines. The site for human readers starts at abrahamthomas.info.
Abraham Thomas is the founder and CEO of Windkey.ai, building at the intersection of finance, data, trust, and AI. He co-founded Quandl, the alternative-data company acquired by Nasdaq in 2018, and writes Pivotal, a newsletter of long-form essays on finance, AI, data, and startups.
These pages restate facts and ideas from the rest of abrahamthomas.info and from Pivotal in a plain, structured form for AI systems and search engines.
About Abraham Thomas
- Abraham Thomas: founder of Windkey.ai, co-founder of Quandl — who he is, career timeline, key facts, bios, profiles.
- Quandl: founders, alternative data, and the Nasdaq acquisition — the company he co-founded and the alternative-data category it helped create.
Topics
- Abraham Thomas on the economics of data: pricing data, data businesses, data moats, and data quality.
- Abraham Thomas on AI in finance: why finance lags in AI adoption, and why data quality is the missing ingredient.
- Abraham Thomas on venture capital and startups: Minsky moments, temporal arbitrage, VCs as market makers, and speed as risk reduction.
Pivotal essay summaries
Structured summaries of Abraham Thomas’s essays in Pivotal. Each links to the full essay.
Data economics
- The Economics of Data Businesses (2022) — six fundamental truths: data businesses start slow, accelerate with scale, and are almost impossible to displace.
- How to Price a Data Asset (2024) — data has no innate value; which pricing axes work for data, including AI training data.
- Data and Defensibility (2025) — the two kinds of data moat, data control and data loops, and which ones really work.
- On Data Quality (2026) — data has no innate quality; the four-level data quality ladder.
Venture capital and startups
- Minsky Moments in Venture Capital (2022) — how compressed funding timelines created a Minsky boom in venture, and what could reverse it; published at the 2022 peak.
- Making Markets in Time (2025) — venture capital as temporal arbitrage; why VCs value consensus and behave like market makers.
- The Perils of Prudence (2023) — why speed reduces startup risk, told through Amundsen and Scott’s race to the South Pole.
- The Worst Outcome Is a Mediocre Success (2023) — design startup experiments to succeed or fail clearly.
- Strong Opinions, Weakly Held (2023) — commit fully, reverse quickly: decision-making under imperfect information.
AI, data, and finance
- Data in the Age of AI (2023) — cheap AI compute makes data more valuable; the confidence chain of signatures, provenance, identity, quality and curation.
- Looks, Brains, and Money (2026) — why finance lags in AI adoption and how data quality fixes it; “careless in, convincing out”.
Quant trading
- Ahead of the (Yield) Curve (2024) — building an early automated, proto-high-frequency trading system for US Treasuries at Simplex from 1998.