Aakash Gupta Portfolio
Wrote "Product Growth" (236,000+ subscribers) and "AI by Aakash" (231,000+ subscribers) after growth and product leadership roles at thredUp, Affirm, and Apollo.io; has interviewed AI product managers at OpenAI, Anthropic, and Google roughly weekly for over a year to build a public AI PM learning path.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Naming specific past growth roles with scale markers
Rather than a generic "product and growth background," the bio ties specific companies to specific growth periods (Affirm's revenue expansion from $300M to $1.2B) — concrete, checkable numbers.
A structured interview cadence as a research methodology
Interviewing two or more AI PMs weekly for over a year at named companies is a disciplined research process, not occasional anecdote collection.
Converting practitioner interviews into a free, structured curriculum
Turning a year-plus of interviews into a described "learning path" shows an editorial/product instinct applied to his own content.
What AI Product Managers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Attach a specific number or scale marker to past roles rather than a general seniority description — it's far more verifiable and specific.
If you're synthesizing insight from many practitioners, state your actual research cadence and sample size rather than implying broad expertise from unspecified conversations.
Organize collected insights into a structured curriculum or path rather than a loose list — the organizing work is itself evidence of product thinking.
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