Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 1.8.0, updated 2026-10-30.
Store screenshots supplied by the developer.
CapExplorer is a 3D model of an AI data center that you can take apart, piece by piece, to see where the money goes.
Start at a single AI server rack. Tap "See where $1,000 goes" and the rack pulls apart into its parts, each labelled with its share of $1,000 of data center spending and the companies that supply it. A bar along the bottom shows the whole split at a glance.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
No review analysis published for this app.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
New: Who's paying. From the data hall, see what Amazon, Alphabet, Microsoft, Meta, Oracle and CoreWeave spend building AI capacity: each year since 2024, their stated outlook for 2026, and analysts' 2027 estimates as reported in the press. Open a company for its last eight quarters and sources. And see how big the buildout is: its share of the US economy beside the railroads, the Interstate highways, the Marshall Plan and Apollo.
Appworthy
capexplorerWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.