Stop asking which data provider is best. Your ideal waterfall is unique to you

There is no single best data provider. Jai Toor, founder of Deepline, explains why the best waterfall enrichment setup is specific to your business and shows how a coding agent can test every public and paid data source in minutes to find yours. He calls the pattern programmatic GTM: explore every source, then exploit the few that actually win for you. What you'll learn: How to give a coding agent (Claude Code or Codex) a sample of good outcomes like closed-won accounts, then let it backtest dozens of providers against what you already know is right Why one API, one SDK, and one billing profile lets you try hundreds of providers on the same credits How Deepline's pre-research graded sources on a list of restaurant accounts: four sources drove 60% of the wins, and the combined waterfall pulled 61% more leads than the best restaurant-specific paid provider (Jai's first-party result) How a propensity model that took four weeks by hand in October 2025 now runs in about 30 minutes Turning each GTM workflow into a TypeScript script you can diff, code-review, and see in GitHub Sources & further reading: Exploration-exploitation dilemma (Wikipedia) https://en.wikipedia.org/wiki/Explora... - the explore-exploit tradeoff behind programmatic GTM Claude Code (Anthropic, official) https://www.anthropic.com/product/cla... - the agentic coding system Jai runs the workflow in Codex CLI (OpenAI Developers, official) https://developers.openai.com/codex/cli - OpenAI's terminal coding agent, the other host for Deepline A B2B lead scoring model based on machine learning (Frontiers in AI, 2025) https://www.frontiersin.org/journals/... - peer-reviewed grounding for the propensity model technique More from Deepline: Event recap: 6 GTM teardowns from top teams https://deepline.com/blog/gtm-ai-nyc-... This talk, written up https://deepline.com/blog/gtm-ai-nyc-... Quickstart https://deepline.com/quickstart Use cases https://deepline.com/use-cases 0:00 The data problem for coding agents 1:30 Why picking the best data source is hard 3:00 Build your own GTM tools 4:31 Explore, exploit, and better outcomes 6:00 Enriching with public and private data 7:35 Grading results and data sources 9:01 Building the best waterfall 10:30 Results across 500+ customers 12:00 Try Deepline or join the team GTM + AI NYC Lightning Talks, hosted by Deepline. Full playlist:    • GTM + AI NYC Lightning Talks (June 30, 2026)   Deepline is one CLI for your GTM data: enrichment, scraping, and sequencing across 44+ providers, with every run logged to a database you own. Try it from Claude Code or Codex at deepline.com (use code GTMASCODE).