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neema ghamghami sorat

T3 · host / generalist

Neema Ghamghami Sorat is the CEO and co-founder of Blend, a digital lending platform processing ~20% of US mortgages and home equity loans. He previously worked at Palantir after graduating from Stanford, where he studied computer science. He grew up in Ohio after his family immigrated from Iran.

3 calls·2 names·100% bull·last heard 3 months ago·Joe Lonsdale
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$BLENDBlendposition

Blend's Autopilot AI agent cuts mortgage closing from 29 to 21 days in first deployment

Autopilot, launched March 2024, acts as an agentic workforce handling unstructured mortgage documents and rules in real time. First customer analysis shows closing process reduced from 29 to 21 days. 70 lenders have activated it, with 10-15% incremental revenue growth projected.

Joe Lonsdale2026-06episode →
2ndlow conviction
$GOOGLAlphabet

Gemini 2.5 Pro quietly leads on agentic banking evals per Blend's model testing

Blend runs hundreds of historical evals against new models; Gemini 2.5 Pro (2024) was 'quietly really good' for agentic tasks. Blend plans to publish an agentic banking index tracking model performance, cost, and latency over time.

Joe Lonsdale2026-06episode →

most discussed · click a bar to filter

  • $BLEND
  • $GOOGL

recurring themes

  • AI Agents1
  • AI Coding Agents1
  • Enterprise AI Adoption1
  • AI Economics & Business Models1
3 total
$BLEND
Blend
HIGHneema ghamghami sorat·Joe Lonsdale·3 months ago·How AI Agents Are Creating an Infinitely Scalable Workforce· position
Blend's Autopilot AI agent cuts mortgage closing from 29 to 21 days in first deployment
Autopilot, launched March 2024, acts as an agentic workforce handling unstructured mortgage documents and rules in real time. First customer analysis shows closing process reduced from 29 to 21 days. 70 lenders have activated it, with 10-15% incremental revenue growth projected.
"They took their mortgage closing process, which includes a lot of things in Blend and some things out of Blend like the appraisal, took it down from 29 to 21 days. Like just with…"
35:20
$BLEND
Blend
MEDneema ghamghami sorat·Joe Lonsdale·3 months ago·How AI Agents Are Creating an Infinitely Scalable Workforce· position
Internal AI agents double engineer productivity to 80-120 PRs/month at Blend
Blend tracks AI-driven productivity gains: average engineer PRs/month doubled from 6 to 12 in 4 months, with top performers hitting 80-120. Ambient intelligence agents auto-fix bugs and handle tickets, creating a compounding engine for future product velocity.
"End of last year, you know, our average engineer was doing six pull requests per month in December. That's already doubled 4 months later. The best people are doing 80 to 120 pull…"
27:00
$GOOGL
···
Alphabet
LOWneema ghamghami sorat·Joe Lonsdale·3 months ago·How AI Agents Are Creating an Infinitely Scalable Workforce
Gemini 2.5 Pro quietly leads on agentic banking evals per Blend's model testing
Blend runs hundreds of historical evals against new models; Gemini 2.5 Pro (2024) was 'quietly really good' for agentic tasks. Blend plans to publish an agentic banking index tracking model performance, cost, and latency over time.
"Gemini 2.5 Pro, which came out in 2024, was quietly really good. Nobody was using it. Um but it's And now everything has that level of intelligence built into it."
30:50
9
AI Agentstailwind
Agentic AI creates infinitely scalable workforce across every industry
AI agents enable teams to manage 100x more work by handling unstructured data and complex rules in real time. This compounds as each completed task unlocks new opportunities, driving a productivity boom comparable to the internet's early days.
8
AI Coding Agentstailwind
Ambient AI agents double developer output and auto-resolve bugs in production
AI agents spinning up on every ticket/bug/email can fix issues and open PRs autonomously, turning engineers into air traffic controllers. Blend measured 2x productivity in 4 months; top engineers hit 80-120 PRs/month. This internal engine compounds to ship 10x more products.
8
Enterprise AI Adoptiontailwind
Every industry must be re-architected around AI agents or face disruption
Companies that don't rebuild platforms with agents as primary users will become have-nots. Regulated incumbents like Blend have time affordance but must play offense. The SaaS apocalypse thesis is real for non-adopters, but incumbents with data and workflow moats can win by embedding agents.
7
AI Economics & Business Modelstailwind
2030s poised as most booming decade in 100 years from AI compounding
Infinitely scalable AI workforces remove capital and time constraints, enabling compounding innovation cycles. Lower costs for consumers, new infrastructure (energy, housing, robotics) built 100x faster. The economic boom stems from removing human capacity bottlenecks across all sectors.