Writing at the intersection of artificial intelligence, enterprise sales, and the market. Because the future doesn't wait for permission.
Isn't just
a newsletter.
AutoQuant, SwingTrader, LangGraph pipelines, gbrain. I build things and write about what breaks, what ships, and what I'd do differently.
President's Club, Seagate close, cold email experiments, pipeline forensics. What actually works in enterprise software sales in 2026.
Bayesian signal grading, options flow, regime detection. Trading systems that learn from every trade and update their own weights.
| LegacyStatic Rules | AutoQuant v1Bayesian Grader | The EdgeHuman + System |
|---|---|---|
| Fixed weights forever | Updates every trade | Pattern + intuition |
| Regime-blind | Regime-conditioned | Context-aware |
| Win Rate: 46% | Win Rate: 57% | Target: > 60% |
| Signal noise: high | De-correlated vector | Edge: Sunday review |
| Journal: never | Autopsy: every trade | Learning loop: weekly |
| Updates: never | Runtime: 9:15am + 2:30pm ET | Horizon: ongoing |
Senior Strategic Account Executive at Freshworks, based in San Francisco. 7× President's Club. 200% quota. Closed Seagate as the largest TCV deal in company history.
Building AI tools on the side — AutoQuant, SwingTrader, LangGraph pipelines, a personal knowledge OS. Writing about what I find.
Writing about the things I'm actually building and doing — not the polished version, the real version. AutoQuant when it breaks. The email that booked the Seagate meeting. The agent architecture that shipped in a weekend.
The thesis: AI + sales + markets are converging. The person who understands all three will be in a category of one. I'm trying to be that person. This blog is the log.
@misc{sachinrai2026,
title = {Field Notes from the Frontier},
author = {Sachin Rai},
year = {2026},
note = {AI + Sales + Markets.
Code: github.com/sachinai1981-web }
}