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Priyanka Vergadia's bestselling books "emerged backwards." Instead of pitching a book, she first created blog posts and GitHub sketch notes. When the community's demand for compiled PDFs became overwhelming, it proved market viability and made publisher deals effortless.
Instead of seeking validation from traditional gatekeepers like writing programs or publishers, share your work directly with the public on social media. This allows the market—your actual potential audience—to decide its value, providing more immediate and meaningful feedback.
Amazon's 'Working Backwards' process begins with the end: a press release (PR) and frequently asked questions (FAQ). This low-cost exercise forces teams to be hyper-focused on customer problems and value proposition from the outset, long before any code is written. It helps filter ideas based on customer impact.
The core content for a course isn't built from a blank page. It's found in the proven, step-by-step advice you already share with friends, colleagues, or clients. These informal solutions are the raw material for a structured, marketable roadmap.
Reverse the traditional startup model by first building an audience with compelling content. Then, nurture that audience into a community. Finally, develop a product that solves the community's specific, identified needs. This framework significantly increases the probability of finding product-market fit.
For her book on 220 Google Cloud products, Priyanka Vergadia ensured accuracy by building relationships with each of the 220+ product managers. This direct engagement validated her visualizations and created a powerful network of subject matter experts.
Ideas are developed systematically. Podcasts explore nascent questions (rehearsals). A developed idea becomes a Substack column to test a thesis (preview). A collection of successful theses forms a book, which in turn becomes the primary currency for lucrative speaking engagements.
Before investing in a full SaaS platform, manually create the end result (e.g., reports in Excel/PowerPoint) and attempt to sell it directly. This low-cost, concierge-style experiment quickly validates if customers have a real willingness to pay.
A16z found its most successful blog posts weren't hot takes on market conditions, but timeless, practical guides like "Good Product Manager." This evergreen content provided real value to entrepreneurs and demonstrated deep operational expertise to LPs, building a more durable brand than fleeting commentary.
The desire for passive income leads creators to build digital products prematurely. The better path is to start with services like consulting or agency work. This validates demand, generates cash flow, and provides the deep customer insights needed to later create a successful, scalable product.
Instead of perfecting a product, generate a basic "bare bones" version using AI, place it on a simple landing page, and secure initial sales. This validates demand with minimal effort. Use the revenue and early feedback to then invest in creating a more robust, higher-quality version.