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Outcome Learning Model: SaaS's New Moat
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What Modern AI Search Actually Is
AI search is hybrid keyword and vector search. DiscoLike's Outcome Learning Model writes better queries than most GTM engineers.
AI TAM Assistant: Built from Real Searches
We extracted knowledge from thousands of successful TAM searches by hundreds of GTM teams. Give it one sentence and get a fully configured search vector back.
Why Clay Adoption Really Exploded
Clay didn't just ride the GTM wave. They productized publish-and-subscribe for downmarket companies. Now Claude Code is absorbing that orchestration layer.
Contact Search as Identity Matching
Filtering contacts was a mistake from yesterday's tech. DiscoLike replaces filters with natural language identity matching.
Claude Code + MCP Makes Clay Obsolete
A command line screenshot is the biggest risk to Clay's valuation. Claude Code via MCP replaces elaborate automation platforms.
Gemini Beats Similarweb for B2B Traffic
Similarweb, Semrush, and Ahrefs all share a big flaw: low or no data for B2B sites. Gemini 3 Flash has a native Google advantage they can't replicate.
Search-Native Grounding in Frontier Models
The real change isn't better prompts — it's search-native grounded APIs where models plan queries, retrieve live data, and cite sources.
Contact Search Beyond Title Bingo
Every contact search tool forces you to play title bingo. We built something that understands roles at a conceptual level instead of brittle keyword matching.
Vector Search for People, Not Just Companies
Contact search is overdue for innovation. What if every LinkedIn profile became a rich embedding you could search by intent, trajectory, and mindset?
Target What's Missing: Finding eCommerce Growth Gaps
A prospect challenged us to find eCom stores failing to use their data. The answer isn't targeting what's there — it's identifying what's absent.
