CHAPTERS
80 episodes in: the podcast finally hits the exponential growth curve
Aakash shares that after investing heavily upfront, the show is now entering the “suddenly exponential” phase of growth. He compares subscriber growth between episode 50 and 80 and frames the strategy as deliberately delaying profit to build momentum first.
How the show grew: consistency, better trailers, and spending smarter on production
He breaks down the practical levers that improved distribution: shipping cadence, stronger packaging via trailers, and a more ROI-driven approach to production quality. The theme is focusing on what moves audience behavior without overspending on marginal gains.
What 80 interviews taught him: PM in 2025 is changing fast, and content must be timely
Aakash summarizes learnings across product management and content creation. On the PM side, he argues the pace of change is accelerating due to efficiency pressure and AI; on the content side, he learned recency often beats “timeless” topics in podcast performance.
How the podcast fits the business: balancing newsletter, coaching, sponsorships, and lifestyle
He explains the operational tradeoffs of running multiple creator-business lines. The podcast now consumes a large share of his time, while coaching functions as research/feedback and sponsorships support current lifestyle needs.
How niche podcasts make money: AdSense, sponsorships, and platform deals
Aakash outlines the core podcast monetization paths and the tradeoff between early growth and early cashflow. He also clarifies his stance on sponsorships vs paid guests and why he chose monetization earlier than some creators do.
Sponsor break #1: Miro + AI Evals course
Two ad reads: one for Miro’s collaborative workspace and one for a live course on AI evaluation. Both are framed as productivity/workflow accelerants for PMs and engineers.
Dream employer: why he’d choose OpenAI (and his real multi-model workflow)
He answers a hypothetical about returning to a single company and picks OpenAI. He also shares he doesn’t rely only on ChatGPT and describes how he compares outputs across multiple frontier models.
AI resume transformation demo: tailoring resumes with Gemini 2.5 Pro + strong prompts
Aakash demonstrates a workflow to quickly customize a resume to a job description using Gemini 2.5 Pro. He emphasizes providing context (constraints, recruiter biases) and using explicit prompting to get a targeted, ATS-friendly result fast.
AI prototyping revolution: PRDs as fuel for prototypes, not documents for reading
He argues AI prototyping is redefining product management by pulling PMs closer to pixels. The PRD becomes a fast, iterative input to generate prototypes, and prompt engineering hinges on giving missing context and specifying the output format.
Sponsor break #2: Linear + AI PM certification on Maven
Two more ad reads: Linear as the unified product execution system, and an AI PM certification program. Both are positioned as tools to reduce coordination overhead and improve PM capability in modern teams.
Live prototype build: using Bolt.new (plus iteration and debugging) to ship a demo fast
Aakash walks through generating a working prototype from PRD instructions and iterating toward an Apple-like UI. He highlights that PMs must be comfortable reading code, guiding the tool, and managing scope to reach a demo that earns executive buy-in.
Why 2025 is a strong time to become a PM: people work + adaptability
He responds to concerns about layoffs and AI replacing PMs with a bullish thesis: most PM work is human coordination and shared understanding. He argues PMs will evolve into orchestrators who prompt AI tools across coding and design.
AI PM skills roadmap for new grads: build real products with AI tools
Aakash lists core AI PM competencies and recommends learning by building. He suggests creating and shipping a small business/product using prototyping tools, then expanding into code editors to develop real-world stories and taste for prioritization.
From MVP to first paying customers: beta love → launch momentum loops
He advises an early-stage founder on getting first paying customers by turning MVP into an MLP with a small beta group. Then he outlines a launch playbook focused on daily public building, community setup, and coordinated launch-day distribution.
Growing a personal brand from zero: one platform + one offer, then scale
Aakash shares a structured creator growth strategy: pick a single platform and a clear product (often a newsletter), then iterate content types using a swipe file. He also explains when to expand to additional platforms based on follower milestones.
LinkedIn as a career accelerator: inbound jobs, higher comp, and posting mechanics
He argues LinkedIn presence directly impacts compensation and opportunity by creating inbound demand and credibility. He then gives tactical advice on optimizing your profile, writing high-effort posts, and building a network through thoughtful engagement.
Newsletter success factors: stack ranking what matters (and why ‘luck’ is overrated)
Aakash ranks drivers of newsletter growth and retention, prioritizing timing and distribution skill over purely content quality. He argues newsletters are a grind and credits execution more than randomness.
Breaking into PM (especially US roles): stop spamming applications and build leverage
He gives blunt feedback on job search strategy: volume applications without networking or work products won’t work, especially with visa constraints. He recommends narrowing targets, moving closer to job hubs if possible, and creating referrals before applying.
MBA-to-PM roadmap and sprint prioritization: strategy → roadmap → themed sprints
He closes with practical PM fundamentals: build real products during school, network deliberately, and focus on strategy-driven prioritization. For sprint conflicts, he emphasizes alignment on strategy and roadmap rather than debating individual features ad hoc.
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