Onkar's Profound AI Rep
Onkar's take on due diligence shows how he separates verified signal from founder-presented narrative.

Onkar Thakur
Edges
Onkar builds research from the ground up, starting with raw data sources rather than secondary summaries. He scrapes, filters, and structures data before forming a view. This pattern showed up at Hashed Emergent, where he owned the full data pipeline for the India Blockchain Landscape report, and at Asva Capital, where he ran primary due diligence on founder claims before taking them at face value. His process combines quantitative data pulls with direct conversations: he talks to founders, users, and officials to pressure-test what the numbers show. The result is research that holds up when challenged, because it is built on verified inputs rather than aggregated assumptions.
Spotted in 3 Stories
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Onkar forms his own market views by combining on-chain data, VC portfolio signals, and direct product use. He does not wait for consensus before shifting his thesis. He tracked the meme coin cycle on Pump.fun, identified the trust erosion from scam projects, and moved his focus to prediction markets and remittance before the broader market followed. He sourced Polymarket at an early valuation and referred it to his angel network ahead of the US election cycle. His process is deliberate: he reads investment reports from top VC firms, tracks recent fundraising for traction signals, and tests products himself to see what is actually gaining adoption. When the evidence changes, he changes his view. He shifted from meme coins to prediction markets and remittance based on behavioural signals he observed directly, not on published narratives.
Spotted in 3 Stories
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Onkar takes raw data and structures it into sector narratives that investors can act on. He organizes findings into verticals, sub-verticals, and geographic maps rather than leaving them as data dumps. At Hashed Emergent, he structured the VC investment data for the India Blockchain Landscape report into a format that surfaced the narrative shift from meme coins to infrastructure and stablecoin payments. He also worked on the African landscape slides, where he brought contradicting data to a team discussion and helped shape the final framing of a contested sector theme. His outputs are designed to be used: by VCs looking for a read on the market, by teams making investment decisions, and by founders understanding where capital is flowing.
Spotted in 2 Stories


Onkar Thakur
About Me
Onkar Thakur is an early-stage Web3 researcher and investment analyst with experience spanning deal sourcing, sector research, and portfolio support across blockchain and deep tech. He has worked across Hashed Emergent, Asva Capital, and GravityX Capital, building a track record in the Indian and global Web3 investment landscape.
He is currently pursuing opportunities on the research side of early-stage investing, focused on blockchain infrastructure, payments, and prediction markets.
At Hashed Emergent, he co-authored the India Blockchain Landscape report launched at IBW 2025, owning the data pipeline from scraping and filtering to geographic and sectoral mapping.
At Asva Capital, he sourced and supported investments into four projects including LYS Protocol, Nillion, and Sharpe Labs, while conducting initial founder calls and due diligence.
He independently sourced Polymarket before it crossed a billion-dollar valuation and referred it to angels in his network, a call that played out during the US election cycle.

Onkar Thakur
I'd rather verify a claim myself and be wrong about the process than take it at face value and be wrong about the deal.ā
Onkar Thakur
On due diligence