Proposed · Data-Driven Investment Practice

Augment It

Data augmentation workflows that take any data source and performs research, updates and augments data, and restructures it for both humans and machines.

Part of: Data-Driven Venture

Why this exists

Every VC firm has a vendor problem. Crunchbase for sourcing, Affinity for CRM, Pitchbook for benchmarks, six different newsletters for signal — and none of them talk to each other. The work of making them talk is uncompensated labor that lands on whoever has the most patience for spreadsheets.

Augment It asks: what if that work was the product? What if a non-engineer could compose a "founder enrichment" workflow the same way they compose a Notion doc — picking blocks, wiring them together, hitting run?

What we're building

  • A library of small augmentation primitives (enrich a domain, normalize a job title, score a signal).

  • A composition surface (micro-frontends) where these primitives can be wired into workflows.

  • A run history so you can see what enriched what, and re-run when the underlying data changes.

Working group expectations

  • Bring real data, sanitized as needed. Synthetic data finds synthetic problems.

  • Be willing to build for your own daily workflow first. If you wouldn't use it, neither will anyone else.