@JaredSleeper JaredSleeper
Rigorous software-sector analyst stress-testing the AI-vs-SaaS debate name by name
Writes long-form fundamental theses on public enterprise/app
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 16 scored bets: 69% hit rate, +0.24% mean alpha, trader score +0.32.
JaredSleeper is focused on AI-enabled software creation rather than public ticker calls, with no ticker-specific long or short thesis in the window. The distinctive read is that power users can increasingly replace packaged personal software with custom AI apps, pressuring individual software business models while creating venture-scale product opportunities around platforms like Databricks.
The author is not making tradable ticker-specific calls this week; concentration is entirely in AI software capability and product narrative. The stance is consistent across the window: AI agents and platform products are making custom apps more viable while weakening the case for selling packaged software to individuals.
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-07-02 | · | @JaredSleeper | · | Says neocloud inference workloads skew to post-training lab R&D rather than end usage. | · | tweet ↗ |
| 2026-07-02 | · | @JaredSleeper | · | Argues much inference demand belongs in the post-training/RL training bucket. | · | tweet ↗ |
| 2026-07-01 | · | @JaredSleeper | · | Argues chip/memory run is not end-user demand; AI capex math is small versus current needs. | · | tweet ↗ |
| 2026-06-30 | · | @JaredSleeper | · | Argues per-user SaaS pricing will predominate over value/consumption pricing in five years. | · | tweet ↗ |
| 2026-06-26 | · | @JaredSleeper | · | Long framework on AI usage, cost declines, revenue modeling and economy-wide implications. | · | tweet ↗ |
| 2026-06-24 | · | @JaredSleeper | · | Argues scale, capital and business savvy matter more in AI than SaaS. | · | 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.