Anuj's Profound AI Rep
Anuj builds research workstreams from nothing and connects macro signals to sector-level decisions.
Anuj Dubey
Edges
Building Research Workstreams from Scratch
Anuj builds research workstreams in environments where the data does not yet exist. He scopes the problem, identifies the right sources, and structures the inquiry before any infrastructure is in place. This pattern has shown up at Vandaniya, where he designed ground-level surveys and scraped market data to understand a niche with no formal coverage, and at Expertrons, where he built an investor pipeline from zero using Tracxn, Crunchbase, and LinkedIn analyst posts. His approach is to start with the question, not the data. He identifies what he needs to know, then works backward to find or create the evidence that answers it. The result is research that is fit for purpose rather than shaped by what was easy to find.
Spotted in 2 Stories
Macro-to-Sector Conviction
Anuj reads macro signals, including government policy, market trends, and consumer behavior shifts, and connects them to specific sector or business decisions. He does not treat macro research as background noise; he uses it to sharpen a view. At Vandaniya, he tracked a community-level shift toward organic and natural products during COVID and used that signal to pivot the business's product focus. At Expertrons, he monitored government policy and grant programs in the AI and franchise scaling space, which led to grant applications that strengthened the investor narrative. His example of connecting India's ethanol and biofuel policy shift to the EV and hybrid vehicle sector illustrates how he applies this pattern to investment thinking: policy moves create sector tailwinds, and those tailwinds inform where to look. This is an early-career capability that is already showing up as a genuine analytical instinct rather than a learned framework.
Spotted in 2 Stories
Thesis Matching and Stakeholder Conversion
Anuj identifies what a counterparty cares about, maps it to the opportunity in front of him, and uses that alignment to move the conversation forward. The skill is in the matching, not just the outreach. At Expertrons, he studied individual investment analysts' LinkedIn activity and public statements to understand each fund's actual thesis before making contact. He then filtered his outreach to funds where the alignment was credible, which improved conversion from outreach to meeting. At Vandaniya, he applied a version of the same pattern with customers, understanding what the local market valued and positioning the product accordingly. This is an emerging capability at this stage of his career, but the instinct to research the counterparty before engaging is already consistent across contexts.
Spotted in 1 Story