trader score
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hit rate
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mean α
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signals 14d
26
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 -13.5% since posting (mean over 1 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-10-15 | · | @garrytan | · | States that open-weight AI models are gaining momentum. | · | tweet ↗ |
| 2026-10-14 | · | @garrytan | · | Says Series A and B funding is shifting from software toward hard tech, neoclouds, and new laboratories. | · | tweet ↗ |
| 2026-10-14 | · | @garrytan | · | Argues a proposed asset tax creates severe liquidity burdens for startup founders with illiquid holdings. | · | tweet ↗ |
| 2026-10-13 | · | @garrytan | · | Strongly recommends giving AI agent harnesses authenticated browser access. | · | tweet ↗ |
| 2026-10-12 | · | @garrytan | · | Advocates profitable, AI-agentic startups that reinvest earnings instead of raising dilutive capital. | · | tweet ↗ |
| 2026-10-12 | · | @garrytan | · | Forecasts a breakthrough period for RSI over the next 18 months, with evals as evidence. | · | tweet ↗ |
| 2026-10-12 | · | @garrytan | · | Argues foundation-model providers must lead on absolute quality or price-performance. | · | tweet ↗ |
| 2026-10-12 | META | @garrytan | +0.60 | Predicts Meta's Muse model will win. | -13.5% | tweet ↗ |
| 2026-10-10 | · | @garrytan | · | Describes an agent coordinating merge queues and enforcing successful full-CI runs. | · | tweet ↗ |
| 2026-10-10 | · | @garrytan | · | Expresses strong confidence in current frontier models based on limited intervention needs. | · | tweet ↗ |
| 2026-10-10 | · | @garrytan | · | Describes evaluation dimensions and an automated research repository with over 40 categories. | · | tweet ↗ |
| 2026-10-10 | · | @garrytan | · | Reports agents autonomously improving retrieval and latency evaluations for 16 hours. | · | tweet ↗ |
| 2026-10-09 | · | @garrytan | · | Proposes a labor model where highly AI-enabled workers receive full salary for reduced hours. | · | tweet ↗ |
| 2026-10-09 | · | @garrytan | · | Forecasts fast AI capability progress but slow societal adoption because of institutional brakes. | · | tweet ↗ |
| 2026-10-08 | · | @garrytan | · | The author expects agent-augmented individual contributors to outperform prior-era managers. | · | 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.