Hastin's Profound AI Rep
Hastin traces macro catalysts through supply chains to specific mispriced companies, backed by primary research and financial models.
Hastin Mehta
Edges
Building Investment Theses from First Principles
Hastin builds investment theses by tracing macro catalysts through supply chains to specific companies, rather than starting from a stock screen or a broker note. This pattern has appeared across the BJP manifesto research, the Welspun Corp analysis, and the Aeroflex thesis. In each case, he started with a structural observation, mapped the demand chain, and arrived at companies the market had not yet connected to the theme. His process combines reading annual reports, conference call transcripts, and red herring prospectuses with on-ground primary research including factory visits and direct management conversations. The result is a thesis with a specific moat argument, a management quality assessment, and a financial model, not a directional view.
Spotted in 3 Stories
Financial Modeling and Valuation Analysis
Hastin builds full financial models from scratch, projecting revenue, EBITDA, PAT, EPS, free cash flow, and net debt across multiple forward years, then uses those projections to assess whether a business is mispriced. His Welspun model ran from financial year 2026 through financial year 2030, with specific assumptions for each year tied to identifiable business events: US facility commissioning, DRI plant backward integration, and DI capacity scaling. His Aeroflex model identified the precise year of free cash flow inflection and the three specific drivers behind the PAT expansion. He uses ROIC and PEG ratio as primary valuation metrics, preferring them over ROCE and PE because they are harder to inflate and more directly tied to growth-adjusted value. The models are not standalone documents. They are the quantitative layer of a thesis that also includes a moat argument, a management quality assessment, and a demand structure analysis.
Spotted in 2 Stories
Running Primary Research on Ground
Hastin validates investment theses through primary research: factory visits, management conference calls, founder conversations, and prospectus reading, rather than relying solely on secondary data. At Transaction Square, he organized and conducted meetings with founders and plant supervisors across multiple manufacturing sectors in Kolkata to validate sector views ahead of the 2024 elections. He attended conference calls of companies including Ion Exchange, DentaWater, and EnviroInfra Engineers to understand the AI-water treatment connection from management directly. His primary research is structured around a specific question: is the management walking the talk? He cross-references guidance from prior conference calls against subsequent reported numbers to assess execution credibility before including a company in a thesis. This discipline was reinforced by direct feedback from a senior partner, who taught him to assess auditor quality and to weight downside risk more heavily when representing client capital.
Spotted in 2 Stories
Structuring Research into Actionable Outputs
Hastin translates research findings into structured documents that decision-makers can act on, not just read. For the BJP manifesto project, he built a PPT covering sector logic and policy linkages alongside an Excel with stock picks, selection rationale, and performance data, distributed to over 100 clients. For the Welspun pitch, he built a complete financial model and thesis document that his partner used to make an investment decision during a period of significant market uncertainty. His outputs follow a consistent structure: the macro or sector argument, the company-level moat analysis, the management quality assessment, and the financial model with specific projections. He has also demonstrated the ability to explain complex indirect connections, such as the AI-water treatment link, to clients who could not initially see the logic.
Spotted in 2 Stories