rohit gawli
data guy in nyc, leading analytics engineering at doubleverify and teaching ai agents to speak proprietary data. before that: two startups in mumbai, one exit.
select * from numbers_i_stand_behind;
| solo_founder_revenue-- trillium, zero employees | $0.5m | |
| livelihoods_created-- lokal kitchen, home chefs earning | 500+ | |
| ngos_supported-- furtribe, on a $0 budget | 40+ | |
| founder_exits-- trillium, 18 months in | 1 |
rabbit_holes
public-data research on real-world questions, with the receipts included.
all rabbit holes →projects
📊
analytics_engineering
canonical data layer, dbt + airflow, org-wide standards.
🤖
ai_agents
agents fluent in proprietary data: ai brings the proof, humans make the call.
🐾
furtribe
open-source animal welfare platform, $0 budget.
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🍛
lokal_kitchen
zero-fee home-chef marketplace, mumbai.
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🧴
trillium
d2c personal care, $0.5m revenue as solo founder, exited in 18 months.
writing
what most analysts get wrong about their own career
being right isn't the job — being heard is.
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why most data teams build the wrong thing first
the right instinct is a decision framework, not a dashboard.
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the quiet advantage of boring infrastructure
dull tools, sharp processes.
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what venture builders get wrong about pmf
it's a gradient, not a moment.
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more on medium →