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john melissinos keryazo

T3 · host / generalist

Former VC at Spark Capital (6 years), dropped out of Stanford PhD in material science, founded Standard Metrics to automate private market portfolio reporting for 150+ firms and 10,000+ companies.

1 call·1 name·100% bull·last heard 5 months ago·Joe Lonsdale
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no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

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$STANDARD-METRICSStandard Metricsposition

Standard Metrics builds network effects and data moats to defend against SaaS apocalypse

Network effects from 10,000 companies and aggregated anonymized benchmarks create defensible moats as AI lowers switching costs for traditional SaaS.

Joe Lonsdale2026-04episode →

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  • $STANDARD-METRICS

recurring themes

  • SaaS Business Models1
  • AI Agents1
  • Enterprise AI Adoption1
  • AI Coding Agents1
  • Venture Capital1
1 total
$STANDARD-METRICS
Standard Metrics
HIGHjohn melissinos keryazo·Joe Lonsdale·5 months ago·How AI Agents are Changing Investing· position
Standard Metrics builds network effects and data moats to defend against SaaS apocalypse
Network effects from 10,000 companies and aggregated anonymized benchmarks create defensible moats as AI lowers switching costs for traditional SaaS.
"Yeah. I think that the SaaS apocalypse, like most things, there is there's a lot about it that's correct. And there's certain things that are probably overblown. Um I think that t…"
24:47
9
SaaS Business Modelsmixed
AI erodes switching costs, forcing SaaS to rely on network effects and data moats
AI lowers software creation and migration costs, collapsing traditional switching cost moats; defensible SaaS must now compound network effects and proprietary datasets.
8
AI Agentstailwind
AI agents become technical co-pilots for VC diligence and portfolio management
AI agents dramatically accelerate technical due diligence from weeks to hours and automate portfolio reporting workflows, with humans in the loop for verification.
8
Enterprise AI Adoptiontailwind
VC firms deploy AI agents for sourcing, diligence, and LP reporting automation
Firms use LLMs for qualitative sourcing signals, iterative memo critique, and agent-orchestrated portfolio workflows, moving beyond quantitative signals to automated operations.
8
AI Coding Agentstailwind
Designers and PMs vibe code functional prototypes, blurring engineering boundaries
AI coding tools like Cursor and Claude Code enable non-engineers to build working prototypes and contribute code, increasing velocity and cross-functional collaboration.
7
Venture Capitaltailwind
Data-driven VC operations shift from cottage industry to automated alpha generation
Private market investors historically lacked software; platforms now centralize portfolio data, enable benchmarking, and automate reserve allocation decisions to generate alpha beyond initial picks.
7
AI Economics & Business Modelstailwind
AI automates valuation workflows combining benchmarks, comps, and proprietary data
AI analysts can run DCF models and valuation frameworks using structured private market data, public comps, and benchmarks, though auditability and multiple models are needed.
7
AI Infrastructuretailwind
Model Context Protocol enables agent-to-API interoperability, creating headless software paradigm
MCP allows LLMs to dynamically use APIs without rigid programming, enabling creative multi-tool workflows and shifting software to headless data interfaces.