The compute formation index
Real, or phantom?
Most announced AI data centers never get built. LOADSTAR measures how much — and shows exactly how it got to that number.
Coverage today: US, county/state level. ~93% of displayed sources are news, not official filing — we mark which is which on every item.
illustrative sample
"The buildout here is real."
Every connection
reveals a pattern.
We don't ask you to trust us.
We ask you to check.
We don't say whether it's real — we say how much we were able to corroborate. Every number links to an official source. Every score is sealed by hash, dated, recomputable by anyone.
Absence of signal isn't proof of phantom. It's a coverage gap — and we say which one.
How we get to a number
Collection
Tens of thousands of documents a day, from public sources: SAM.gov, SEC EDGAR, regional grid operator interconnection queues, USPTO, GDELT.
Filter
Deterministic rules — not AI — cut the volume down to a handful of genuinely relevant documents, before any analysis.
Correlation
We cross-reference independent signals: environmental permit, energy contract, hiring, federal registration. The more signals converge, the higher the score.
Proof
Every result is dated and sealed in an immutable ledger. The history is public — including when we're wrong.
Who needs to know if it's real or phantom
Utilities
Before investing capex in infrastructure, it's worth knowing whether the data center will actually get built.
Investors and funds
Before allocating capital to a physical asset, it's worth knowing whether the announced demand is real.
Regulators
Before approving load requests, it's worth knowing which ones are speculative.
Start with the sample report
No commitment. A real report, on a real project, with the methodology exposed start to finish.