I owned an esports intelligence platform end to end, from discovery to acquisition. Engineering fluency, data-driven calls, go-to-market execution.
20
teams on RiftWatch at peak
6B+
analytical rows processed
50%
campaign engagement lift
About me
I am Vansh Bordia, a product-minded builder who has lived on both sides of the roadmap. I started in design and engineering, then ended up owning products outright: an esports intelligence platform from first insight to acquisition, live broadcast operations, and consumer products shipped remotely for clients worldwide.
What makes me dangerous as a PM is that nothing in the stack is magic to me. I have written the queries, tuned the pipelines, designed the interfaces and run the campaigns, so my specs are grounded, my estimates are honest, and my stakeholder calls come with receipts.
Why me
I have run products, not just tickets. At RiftWatch I took an esports intelligence platform from a hackathon insight to an acquisition: discovery with coaches, a data pipeline processing billions of rows, pricing and packaging for pro orgs, and the handoff itself.
I combine engineering fluency (TypeScript, React, Python, PostgreSQL) with data-driven decision-making (SQL, Power BI, experimentation) and go-to-market execution. I have run live broadcast operations, shipped consumer products remotely, and taken a platform from zero to acquisition.
Owned RiftWatch end to end: discovery, build, GTM, acquisition
Ran live broadcast ops and shipped consumer products remotely worldwide
Turned customer datasets into decisions with SQL and Power BI
Role stack
Product Discovery / Roadmapping / SQL / Power BI / Experimentation / Go-to-Market / PRDs & Specs / Live Ops & SLAs / Agile Delivery / User Research / Analytics / Stakeholder Management / Pricing & Packaging / Growth Strategy
Relevant work
RiftWatch
Esports intelligence platform, acquired by a pro org
750+ pro matches processed into 6B+ analytical rows in ClickHouse
20 orgs at peak including Tier-1 across Americas and EMEA
VALORANT-specific Gemma models plus RAG over live patch data
Agentic harness routing tools, models and queries; sub-500ms P90