Author

@GavinSBaker GavinSBaker

Institutional growth PM dissecting the AI compute stack with engineering-grade depth

Posts original, technically deep fundamental analysis of AI

trader score
-1.44
hit rate
29%
mean α
-0.55%
signals 14d
39

Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Across their last 17 scored bets: 29% hit rate, -0.55% mean alpha, trader score -1.44. Their last-14d mentions, direction-adjusted, have moved -8.3% since posting (mean over 11 mentions with price data).

Recent signals15receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-10-15·@GavinSBaker·The author argues hyperscaler revenue is a better AI metric than the ARR of a share-losing company.·
2026-10-15·@GavinSBaker·The author expresses gratitude for AI credit concerns and favorably references 25% industry limits.·
2026-10-15·@GavinSBaker·The author is constructive through year-end but advocates puts, diversification, and defensive ballast.·
2026-10-13·@GavinSBaker·Calls previously discussed deals fake and challenges the credibility of stated commitments.·
2026-10-13·@GavinSBaker·Dismisses unfunded semiconductor and supply-chain MOUs absent from an S-1 filing.·
2026-10-13AVGO@GavinSBaker+0.25Argues Anthropic can fund cloud commitments and Broadcom spending through financing.-10.0%
2026-10-13·@GavinSBaker·Treats the potential reduction of stated commitments as evidence supporting skepticism.·
2026-10-13AVGO@GavinSBaker+0.25Argues Anthropic's cloud and Broadcom commitments are manageable and financeable.-10.0%
2026-10-13NVDA@GavinSBaker+0.55Predicts Blackwell accelerators will retain useful lives exceeding ten years.-7.7%
2026-10-13MSFT@GavinSBaker+0.40Argues open-weight models compress model margins, increase compute demand and benefit infrastructure providers.-3.5%
2026-10-13AMZN@GavinSBaker+0.40Argues open-weight models compress model margins, increase compute demand and benefit infrastructure providers.-4.1%
2026-10-13AVGO@GavinSBaker+0.45Argues open-weight models compress model margins, increase compute demand and benefit infrastructure providers.-10.0%
2026-10-13GOOGL@GavinSBaker+0.40Argues open-weight models compress model margins, increase compute demand and benefit infrastructure providers.-9.5%
2026-10-13NVDA@GavinSBaker+0.35Argues open-weight models compress model margins, increase compute demand and benefit infrastructure providers.-7.7%
2026-10-13AVGO@GavinSBaker+0.50Bullish long-term framework for AI infrastructure, cloud and applications amid model fragmentation.-10.0%

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.