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Pinned Tweet
Feb 20
Yesterday we posted what @MiddeskHQ found when we cross-referenced the @DOGE_HHS dataset against our business identity infrastructure.
300K views later, people are asking: what does this fraud actually look like up close? 🧵
Feb 19
HHS just open-sourced the largest Medicaid dataset in history. About $1T in claims data, free for anyone to analyze via @DOGE_HHS. Everyone's looking at what was billed. At @MiddeskHQ, we're looking at who's behind the billing.
Here's what we found 🧵
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Jun 11
Is @NYCMayor good or bad for business?
New York business formations just hit an all-time high in March. Every policy out of City Hall now moves a live market, and you can trade it on @Kalshi.
Kalshi chose @MiddeskHQ as its official real-time settlement source for business formation.
We’ll be keeping a real-time read on the state of the business economy.
kalshi.com/markets/kxnycorp/…
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May 1
Middesk just hit 70,000 all-time businesses registered for state tax accounts.
Q1 2026 is 180% Y/Y.
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Feb 24
Had a great chat with @ReggieCYoung about all things business identity, AI, and the future of @MiddeskHQ
Feb 24
AI models aren't the constraint for business identity. Business data is.
Middesk CEO Kyle Mack joined Reggie Young on Fintech Layer Cake (presented by Lithic) to talk about why automation in fintech depends on the quality of the identity layer beneath it.
Middesk works with roughly 400 government agencies across the U.S. to bring primary-source business data into onboarding and risk workflows. Without complete, reliable data, it's difficult to distinguish a fraudulent entity from a legitimate company that incorporated three days ago. And impossible to automate decisions with confidence.
That layer has to be right before anything else can scale.
buzzsprout.com/1985266/episo…
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Feb 19
HHS just open-sourced the largest Medicaid dataset in history. About $1T in claims data, free for anyone to analyze via @DOGE_HHS. Everyone's looking at what was billed. At @MiddeskHQ, we're looking at who's behind the billing.
Here's what we found 🧵
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Feb 20
300K views later, people are asking: what does this fraud actually look like up close?
x.com/KyleTMack/status/20249…
Feb 20
Yesterday we posted what @MiddeskHQ found when we cross-referenced the @DOGE_HHS dataset against our business identity infrastructure.
300K views later, people are asking: what does this fraud actually look like up close? 🧵
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Feb 20
Yesterday we posted what @MiddeskHQ found when we cross-referenced the @DOGE_HHS dataset against our business identity infrastructure.
300K views later, people are asking: what does this fraud actually look like up close? 🧵
Feb 19
HHS just open-sourced the largest Medicaid dataset in history. About $1T in claims data, free for anyone to analyze via @DOGE_HHS. Everyone's looking at what was billed. At @MiddeskHQ, we're looking at who's behind the billing.
Here's what we found 🧵
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Feb 20
This is one cluster.
Across our analysis, we found networks of providers totaling $1.7B in Medicaid payouts linked through shared addresses, officers, and formation patterns.
The truth is mapping these connections is difficult, it requires broad data access, tooling, and strong analytical research.
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Feb 20
At @MiddeskHQ we do this every day for banks and fintechs. The same tools can protect public programs.
DM me or reach out at kyle@middesk.com
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Feb 19
TLDR we mapped $1.7B in Medicaid payments to high confidence fraud
Feb 19
HHS just open-sourced the largest Medicaid dataset in history. About $1T in claims data, free for anyone to analyze via @DOGE_HHS. Everyone's looking at what was billed. At @MiddeskHQ, we're looking at who's behind the billing.
Here's what we found 🧵
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Feb 19
This is just a conservative pass of blacklisted providers, revoked licenses, and the businesses directly connected to them.
There's much more to dig into: anomalies in average claim sizes, geographic clustering, further validation of individual provider legitimacy.
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Feb 19
If you're a journalist, researcher, or data analyst looking at this data we'd love to help.
DM me or reach out at kyle@middesk.com
Fraud hides in identity. Let's find it.
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