@deepu
Joined Feb 2026
Naval·Naval
Naval compares the future app‑store model to Amazon’s bookstore consolidation and YouTube’s media aggregation. He predicts one or two massive app stores will filter AI‑generated “slop” and surface the few truly valuable apps. The rest of the long tail will be distributed among countless niche tools. This concentration creates super‑wealth for the aggregators while still allowing niche creators to thrive. The pattern reflects past internet economies where a single platform dominates distribution.
“The app store model will become even more extreme where you will have one or two giant app stores helping you filter through all of the AI slop apps out there and then at the very head there'll be a few huge apps that will become even bigger because now they can address a lot more use cases.”
Naval·Naval
By feeding plain English descriptions into a code‑bot, users can generate a full product roadmap, design, and implementation. The model interprets the intent, plans the architecture, and iteratively refines the output based on voice feedback. This eliminates the barrier of learning a programming language, expanding the pool of creators. Naval calls this “vibe coding” and likens it to a new form of product management rather than traditional engineering. The approach is already evident in Claude‑code and similar large‑language‑model coding assistants.
“Vibe coding is the new product management. Training and tuning models is the new coding.”