Acto

A newsroom radar that finds consequential material in the noise and puts the strongest leads in front of journalists—designed to help reporters break news up to 80% faster.

Acto is a newsroom radar experiment: machine-learning triage over fragmented public material, tuned for consequential leads rather than engagement.

It is a private research repository supporting client and internal work. Public reporting stays on Postdated; Acto stays in the lab until it earns a release.