Author

@DavidSacks DavidSacks

High-conviction AI-policy evangelist arguing the pro-innovation macro case with datapoints

Posts long-form macro/policy commentary on AI — compute econ

trader score
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hit rate
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mean α
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signals 14d
4

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

Their picks, scored

Not yet in the scored-bets universe (fewer than 20 scoreable calls). Their last-14d mentions, direction-adjusted, have moved -1.5% since posting (mean over 2 mentions with price data).

Recent signals4receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-08-27NVDA@DavidSacks+0.75Highlights strong NVDA and Salesforce results that contradict bearish AI-capex and SaaS narratives.-4.6%
2026-08-27CRM@DavidSacks+0.65Highlights strong NVDA and Salesforce results that contradict bearish AI-capex and SaaS narratives.+1.6%
2026-08-21·@DavidSacks·Argues self-funded data-center power can lower prices and finance local infrastructure.·
2026-08-21·@DavidSacks·Highlights a specialized legal model achieving strong benchmarks at lower cost.·

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.