Product Updates
George Rekouts
Co-Founder & CEO
Contact Search as Identity Matching
Every contact database promises better filters. Filtering was a mistake to begin with. It’s a legacy inherited from yesterday’s technology. There is an alternative, and it is the next level.
The Problem with Structured Records
Most GTM contact systems represent people as structured records. You search by title, industry, company size, seniority, and location — a fixed panel of dimensions chosen in advance. These fields describe surface attributes. The real patterns in your buyer base don’t map to any combination of these fields.
A full textual representation captures far more detail and nuance about a given person. A title tells you what someone is called. A role description tells you what they did, at what scale, under what constraints. Across multiple roles, that text reveals recurring problem types, expanding scope, and shifts in function that structured fields collapse.
Natural Language Persona Search
DiscoLike compiles career signals into a dense textual persona that you can search directly in natural language:
- Surface people by the problems they’ve solved
- Match operators by how they actually work
- Retrieve careers that mean the same thing across different titles
- Search for trajectories and patterns across a career
- Express what you want in plain language and get the closest identities back
Thousands of Dimensions, Not Twenty Fields
This interpretive step completely changes the matching surface. A structured database gives you maybe 10–20 filterable fields. A text embedding maps a persona into thousands of dimensions, where every nuance in language has a position.
Any concept expressible in language becomes a matchable variable. No dropdown menus. No taxonomies to maintain.
You can search for “operators who scaled customer success from founding team to 50+ in PLG environments” and retrieve career narratives that are closest in meaning. A query no filter panel can express.
Identity Matching, Not Filtering
This reframes contact search as identity matching. Instead of configuring filters, you describe who you want to reach.
DiscoLike is the first to market with this approach. Take it for a spin — your contact search will never be the same. Live after 3 months of model training with MCP support included.
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