Deepline Deepdives: Data Discovery, Workflows & Signal Scoring (Office Hours)
Weekly Deepline office hours. This session covers data discovery across providers, the new code-based workflow system (reliability, observability, shareability), niche signal scoring, and how customers own their data. What we covered: Personal email enrichment to lift Meta and Google paid media match rates Using Claude as a coding agent for data discovery across providers Deepline CLI, provider categories, bring-your-own-key, and fallback enrichment Org chart builder, canonical company/lead tables, and CRM sync Workflow run logs with code, inputs, outputs, and cost estimates Niche signal scoring to separate winning vs losing accounts Provider testing: start with public data, then add proprietary sources Public workflow sharing without exposing PII Get started: $25 in credits with code NEWUSER at https://deepline.com Docs: https://deepline.com/docs/quickstart GTM skills: https://github.com/getaero-io/gtm-eng... Join the next office hours: https://luma.com/ydi046fo Chapters: 00:00 Introductions and overview 05:22 Data discovery and use cases (personal email match rates) 10:22 Deepline CLI, provider categories, and data ownership 14:22 Workflow demos: org charts, ABM, Slack reporting 38:22 Workflow quality, logs, and niche signal scoring 46:22 Data provider testing and public-then-proprietary strategy 59:22 Workflow sharing and system integrations 61:22 Onboarding, promo codes, and support resources

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