Semantic social signal automation for teams. Finds posts on X that match a described need, extracts the useful details, and routes them into existing workflows.
Teams define a signal in plain language, connect an approved X credential and a secure destination, and choose the fields they need. Relevance feedback stays private to that signal and sharpens future matching; dispatch results and failures remain visible and replayable.
The practical details about XFiltered, its role, and how it works.
XFiltered is semantic social signal automation for teams. It finds posts on X that match a need described in plain language, extracts the details a team chooses, and sends those details into an existing workflow.
A team connects an approved X credential, describes what matters, selects the fields it needs, and connects a secure destination. XFiltered evaluates supported X data and records each accepted match and dispatch result.
Teams can label results as relevant, not relevant, or missed. Those examples stay private to that customer and signal, while the written description remains the baseline and the influence of feedback stays bounded and auditable.
XFiltered extracts the requested fields and sends the structured result to the connected workflow. Delivery outcomes remain visible, and failed dispatches can be reviewed and replayed instead of disappearing silently.
XFiltered is built by David Hurley as part of a broader body of work around AI agents, data infrastructure, and software leverage for small teams. Visit xfiltered.com for the product and documentation.
Founded by David Hurley