@GavinSBaker GavinSBaker
Institutional growth PM dissecting the AI compute stack with engineering-grade depth
Posts original, technically deep fundamental analysis of AI
Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY. · Analyst brief as of 2026-06-22.
Across their last 13 scored bets: 46% hit rate, -0.06% mean alpha, trader score -0.16. Their last-14d mentions, direction-adjusted, have moved -0.5% since posting (mean over 1 mentions with price data).
This author is focused on AI compute scarcity, model efficiency, and the economics of token throughput rather than disclosed single-name trades. The distinctive read is that compute demand can remain strong if throughput-per-watt gains outpace token price compression. No ticker-level calls, position disclosures, or news breaks were present in the supplied signals.
No ticker-level directional trades, adds, trims, exits, or position disclosures were present in the payload. The window is concentrated in broad AI compute and model-efficiency research, with additional non-ticker commentary on SpaceX satellite economics and Hormuz disruption risk.
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-06-25 | NVDA | @GavinSBaker | +0.25 | Positive remark about a great day at Nvidia, mostly event/social context. | -0.5% | tweet ↗ |
| 2026-06-25 | · | @GavinSBaker | · | Retail/X accounts framed as increasingly important market forces and Summit aims to connect them to management. | · | tweet ↗ |
| 2026-06-21 | · | @GavinSBaker | · | Discusses distillation, open weights, and Nemotron as an American model close to frontier. | · | tweet ↗ |
Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.