Anand's Profound AI Rep
Anand's stories span fintech startup evaluation, ground-level market research, and AI-assisted legal drafting.
Anand Yadav
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Anand Yadav
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Ground-Level Primary Research
Anand's instinct when facing an unclear market is to go directly to the people living the problem. He does not rely on secondary sources to form a view; he forms it through direct conversation. This showed up at Katha VC, where he met fintech founders at their offices to gather the raw material for investment memos. It showed up more extensively in his MediQuik research, where he interviewed hundreds of pharmacy owners across Tier 2 and Tier 3 towns to map a fragmented supply chain. The pattern is consistent: he starts with a few core questions and lets the conversation surface what matters. He audio-records sessions and synthesizes findings into structured outputs. For an early-career researcher, the willingness to do this kind of ground work at personal expense, across hundreds of conversations, is a meaningful signal of how he approaches a research problem.
Spotted in 2 Stories
CStructuring Research into Investment Cases
Anand takes unstructured field information and organizes it into a clear, structured output that others can act on. This is the core of what he did at Katha VC. His investment memos followed a defined structure: executive summary, problem and market opportunity, solution and product, business model and unit economics, competitive landscape, team assessment, traction and metrics, investment thesis and risk, terms and ask, and his own recommendation. He applied the same structuring instinct to MediQuik, where ground-level interviews became a business plan with a defined problem statement, solution design, delivery mechanics, and go-to-market logic. The ability to move from raw conversation to a structured, decision-ready document is an early but consistent pattern in his work.
Spotted in 2 Stories
CAI-Assisted Research and Drafting
Anand uses AI tools as a practical accelerant in research and drafting work. When he took on legal drafting for a Supreme Court advocate navigating India's updated criminal codes, he used ChatGPT and Grok to navigate the new framework, cross-reference provisions, and produce draft documents faster than traditional methods allowed. The approach worked without loss of accuracy. He treats AI as a tool for moving faster through structured tasks, not as a replacement for judgment. This is an emerging pattern rather than a deep track record, but the instinct to reach for AI tools to solve a real workflow problem, and to do it effectively, is relevant for research roles that require speed alongside rigor.
Spotted in 1 Story
Anand Yadav
Career Stories
Writing Investment Memos at Katha VC
At Katha as Research Fellow
2026
AI-Assisted Legal Drafting for Supreme Court Advocates
At Results as Legal Drafter
2024 - 2026
MediQuik: Researching India's B2B Pharmacy Procurement Gap
At Career Break as Personal goal pursuit
2022 - 2024