Businesses become critically dependent on platforms for even a small fraction of their revenue (e.g., 20%). This 'monopsony power' creates a stronger lock-in than user network effects, as losing that customer base can bankrupt the business.

The success of platforms like Depop, where two-thirds of buyers are also sellers, reveals a powerful new model. This dynamic, where users fluidly participate on both sides of the marketplace, creates a virtuous cycle of high liquidity that accelerates growth much faster than traditional models.

High customer concentration risk is mitigated during hypergrowth phases. When customers are focused on speed and market capture, they prioritize effectiveness over efficiency. This provides a window for suppliers to extract high margins, as customers don't have the time or focus to optimize costs or build in-house alternatives.

While network effects drive consolidation in tech, a powerful counter-force prevents monopolies. Large enterprise customers intentionally support multiple major players (e.g., AWS, GCP, Azure) to avoid vendor lock-in and maintain negotiating power, naturally creating a market with two to three leaders.

To solve the classic marketplace problem where buyers and sellers connect and then transact offline, Sorcerer acts as the supplier itself. It operates a 'blind escrow marketplace,' ensuring all transactions flow through its platform and protecting its business model, rather than just acting as a connector.

The narrative of "0 to $100M in a year" often reflects a startup's dependence on a larger, fast-growing customer (like an AI foundation model company) rather than intrinsic product superiority. This growth is a market anomaly, similar to COVID testing labs, and can vanish as quickly as it appeared when competition normalizes prices and demand shifts.

Small merchants are often ignored by large manufacturers who cannot economically handle small-drop logistics or underwrite short-term credit. A B2B wholesale platform can build a strong moat by solving these two problems, becoming an indispensable intermediary that the two sides cannot easily bypass.

Businesses building their entire model on leads from a single platform like Google or Facebook Ads are at severe risk. An algorithm change can instantly destroy their customer source, highlighting the need for a diversified, systems-based marketing approach rather than tactical dependency.

While data labeling companies show massive revenue growth, their customer base is often limited to a few frontier AI labs. This creates a lopsided market where providers have little leverage, compete on price, and are heavily dependent on a handful of clients, making the ecosystem potentially unstable.