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Qatobit

Growth Marketing Manager and GTM Engineer, 2026 to now.

A crypto index investing platform in India.

Rudra runs growth marketing and GTM engineering at Qatobit, a crypto index investing platform in India. He led the repositioning and the launch of qatobit.com, built its search program for Google and AI answer engines, designed its measurement stack, and runs the agent workflows that do most of the marketing work.

What he built, at a glance

  • Positioning and launch

    • Brand story
    • Positioning
    • Website rewritten
    • Launched September 2026

  • Search layer

    • Server-rendered pages
    • JSON-LD
    • FAQ and glossary markup
    • llms.txt
    • AI crawlers allowed
    • Launch crawl audit

  • Agent workflows

    • 10 roles
    • Cloud routines
    • Verifier on every draft
    • Telegram approval
    • Git as the record

  • Measurement

    • Link register
    • Short links
    • First-touch capture
    • Closed UTM vocabulary
    • 6 measurement layers

  • Outbound experiments

    • 12 message variants
    • Significance testing
    • Reply rate vs sign-ups

  • Content system

    • Autocomplete-mined FAQ topics
    • Agent drafts
    • Verifier gate
    • Comparison pages

The situation

Qatobit came to a crowded Indian crypto market with no playbook to inherit. The positioning, the website, the content engine and the measurement stack all had to be built at the same time, and every public claim had to hold up in a regulated market.

What Rudra built

He wrote the brand story and positioning, rewrote the website on the new position, and drove the rebuild that launched qatobit.com in September 2026. The developer shipped the code.

For search, he specified the structured-data and answer-engine layer for every page type: server-rendered pages, JSON-LD, FAQ and glossary markup, llms.txt and open access for AI crawlers. He audited the launch himself with a full crawl.

Marketing runs as agent workflows. Ten roles, from analyst and planner to writer, editor, SEO and social, run on Claude Code cloud routines. A verifier checks every draft, a Telegram card carries the approval step, and git keeps the record. The verifier has caught real errors before they shipped, including a finance ratio that was off by a factor of 100.

FAQ topics come from Indian search autocomplete data, so the content answers what people in India actually type.

He designed the attribution scheme: a register of every campaign link, short links, first-touch capture shared across email, product analytics and the waitlist, a closed UTM vocabulary and six measurement layers from reach to product use.

He tests outreach before scaling it. A 12-variant LinkedIn test, read out with significance testing, showed that copy explaining how the product works beat brand-positioning copy, and that replies did not predict sign-ups.

He also wrote the application that got Qatobit into the Sarvam AI Startup Program, announced in September 2026.

What stays private

Qatobit operates in a regulated market, so its business numbers stay inside the company. This page covers the systems he built.