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Insight
OddsJam grew into a sophisticated analytics product processing constantly changing odds data. This write-up focuses on the engineering decisions and patterns that helped the platform scale, not on deal terms.
Written by Aravind Srinivas, early engineer at Rupa Health and Founder & CEO of HyperNest Labs. This article reflects public information and operator perspective—no speculation on confidential details.
Table of contents
The first constraints were about stability and predictability: ingestion jobs falling behind, cache invalidation issues, and pages slowing down during key sporting events.
Rather than chasing new features, the focus shifted to making the pipeline observable and controllable—so the team could trust what the system was doing under pressure.
By the time acquisition conversations became serious, the team could show clear before/after numbers for latency, reliability, and incident volume. That made it much easier to talk concretely about risk and upside with prospective acquirers.
The technical story was backed by dashboards, runbooks, and architecture diagrams—not just anecdotes. That level of rigor is exactly what other analytics and fintech products can emulate.