Fetching from the wire…
Markets2026-07-28 · source-backed
Kyle Norton of Owner.com argues individually-built rep GPTs produce gains that stay local and never compound, and reaching what he calls Level 3 requires a shared, centrally-maintained context library across the revenue org. For builders, that's an argument that the durable product in the agent stack is the shared context layer, which is the same bet Databricks is making with Genie Ontology and Snowflake with certified skills, and the same bet Cashboard just raised $5M seed on for FP&A. (SaaStr)
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SaaStr's customer success panel put numbers on something I'd been noticing anecdotally: the CSM role grew 700% through Q2 2022, then flatlined for four years, while forward-deployed engineering is up 1,000%+ and still climbing. What makes it a story rather than a stat is the s...
$688 billion in hyperscaler AI capex against $110 billion of revenue. No capex breakeven until 2031 or 2032. Those are Scale Venture Partners' Rory O'Driscoll's numbers from SaaStr AI 2026, and they're the backdrop for the most useful strategy conversation I've read this month...
Fluree announced GA July 23: a serverless knowledge graph positioned as institutional memory for agent fleets, with shared schema, persistent cross-session context, and enterprise permissions enforced at the data layer. Native to MCP, so any MCP client queries it as a first-cl...
This is the most complete production-agent build sheet I've seen anyone publish, and almost every number in it argues against how the rest of us are building agents. Replit disclosed the internals of two production agents at SaaStr AI 2026: 10K, an autonomous VP of Marketing,...
Cursor's marketplace bundles five plugin primitives — MCP servers, skills, subagents, hooks, and rules — into single-install packages. Launch partners: Figma, Linear, Stripe, AWS, Cloudflare, Vercel, Amplitude, Databricks, Snowflake, Hex. Private team marketplaces for enterpri...
Jason Lemkin's post-mortem is the sharpest SaaS piece I've read this month. SaaStr's marketing agent hit Marketo API rate limits leaving roughly one usable hour of API time per day, so the agent effectively couldn't work. Combined with consecutive 12-20% annual price increases...
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