Meta Ad Library research workflow for competitor ad intelligence
A practical workflow for turning public Meta Ad Library searches into searchable competitor ad intelligence, exportable evidence, and repeatable agency research.
Read articlePullmesh technical notes
Practical explanations tied to the products: ad research, LinkedIn approval gates, Etsy operations, platform risk, and what to inspect before buying source code.
The notes explain the decisions a technical buyer has to make before collecting data, automating an account, or licensing one of these packages.
Each article answers one concrete question and links to the relevant product where useful.
A practical workflow for turning public Meta Ad Library searches into searchable competitor ad intelligence, exportable evidence, and repeatable agency research.
Read articleWhat technical teams should preserve when exporting Meta Ad Library research: identifiers, filters, manifests, transparency fields, assets, and raw records.
Read articleA practical control model for local automation: read-only discovery, risk tiers, explicit confirmation, force gates, redacted logs, and human-reviewed execution.
Read articleHow to design a compact MCP tool surface over a larger action registry: list, inspect, execute, review history, check license state, and run governed workflows.
Read articleA practical workflow for digital-product sellers: research market signals, prepare assets, upload files, create/edit listings, and keep publishing behind review gates.
Read articleWhat digital product sellers should collect before building an Etsy catalog: keyword signals, category facets, shop stats, traffic, ads, listings, and gaps.
Read articleA practical review checklist for public data research and local automation tools: scope, provenance, credentials, logs, platform behavior, exclusions, and buyer responsibility.
Read articleA buyer guide for deciding between a hosted SaaS and a private source-code handoff for research, workflow automation, and marketplace operations.
Read articleGrouped by buyer decision stage so the library is easy to scan and keep expanding.