Personal AGI agents running on user-owned infrastructure with proprietary context compound value daily, unlike corporate AI which only improves when the vendor ships updates. The leverage c…

Founders using agents as a full workforce (not autocomplete) achieve 8-400x productivity multipliers across all knowledge work. YC data shows AI-generated codebases correlate with fastest-g…

Tan quantifies personal productivity gains from coding agents (400x raw, 8-100x after penalties) and shows YC portfolio data: 25% of W25 batch had 95% AI-generated codebases and became fast…

Frontier models are commoditizing rapidly; the investable moat shifts to proprietary context libraries (email, meetings, decisions) and markdown skill files that wire models to deterministi…

Tan defines Personal AGI as a three-layer stack: frontier models (commodity, rented), personal context library (unique, owned), and harness/skill files (owned). He argues model improvements…

Tan demonstrates skill files (markdown instructions) as atomic units of agent capability — 'if a smart intern could follow it, an agent can run it.' He shows GStack framework (123k stars) a…

Skill files — plain-English markdown procedures that agents execute deterministically — turn non-engineers into agent managers, expanding the addressable market for automation from develope…

Tan reports YC's media, events, and finance teams (non-programmers) are building skill files and scheduled agents. One finance person compiled 100 Excel workbooks into an agent-built app. T…

Agent-native companies break historical revenue-per-employee limits across all sectors. Emergent ($15M ARR, 15 people) and Retail ($60M ARR, 40 people) demonstrate new physics where one fou…

AI-native startups like Emergent ($100M ARR, 15 people) and Retail ($60M ARR, 40 people) achieve revenue-per-employee ratios impossible in software, oil, or railroads, because one founder p…

Tan cites YC portfolio companies Emergent (S24) and Retail (W24) achieving unprecedented revenue-per-employee metrics using native agent workflows. He argues the 'physics of startups' has c…

As frontier models become cheaper commodities, sustainable differentiation shifts to proprietary context libraries (emails, decisions, skills) owned by the user — 'the weights are everyone'…

Giving away the harness, library, and skill architecture prevents a closed priesthood of leverage and enables a renaissance. YC's position allows non-monetization of infrastructure to accel…

Tan open-sources GBrain, OpenClaw, Hermes, and GStack (123k GitHub stars) because 'tools of the powerful should be given away.' He argues private leverage technologies create priesthoods; o…

Garry Tan open-sources GBrain, OpenClaw, and skill architecture because private leverage technologies (literacy, capital, now agent harnesses) create widening inequality; giving away the 'p…