Avi Patel on the startup that copied Kled and why he called out General Catalyst by name | E2291

What It Covers

Mercury Bank CEO Imad Ahmad discusses the company's $200M raise at a $5.2B valuation, its path toward a banking charter, and multi-product expansion into payroll and accounting. Kled founder Avi Patel details allegations that Y Combinator-backed Luell copied his human data marketplace pixel-for-pixel while General Catalyst funded the copycat after holding investment talks with Kled.

Key Questions Answered

• •Startup Banking PMF: Mercury achieved near-instant product-market fit by targeting early-stage startups specifically because they are product-minded, adopt best-in-class tools quickly, and create viral distribution within ecosystems like Y Combinator, where over 50% of each batch now uses Mercury. Starting with a small, high-signal cohort that grows rapidly and stays sticky is a replicable GTB strategy for fintech founders targeting developer-adjacent communities.
• •Multi-Product Retention Threshold: Mercury tracks whether customers use three or more products, currently at 20% of its base. Data from Uber shows users engaging with two of three core products are 10x more active. Founders should identify their own "2.4 product" threshold — the minimum product combination that makes churn nearly impossible — and build acquisition funnels that naturally cross-sell toward that number.
• •Banking Charter Rationale: Mercury applied for a bank charter after outgrowing its partner banks, which created a proxy-regulation problem where Mercury needed partner approval for every new feature. Owning the charter eliminates that bottleneck, enabling direct control over product roadmap execution. Founders relying on third-party infrastructure should model at what revenue or customer scale that dependency becomes a strategic ceiling rather than a cost-saving shortcut.
• •Copycat Detection Red Flags: When evaluating a competitor, Avi Patel identified five compounding fraud signals: website copied pixel-for-pixel, 50% of traffic from a region with a 95% fraudulent upload rate, live user counters that were manually hardcoded rather than real-time, compliance badges claimed on the homepage but unverified in the actual compliance portal, and wage theft allegations surfacing in public search results. Each signal alone is dismissible; the combination warrants immediate public response.
• •Founder Reputation Defense Strategy: When a well-funded copycat emerges and litigation is cost-prohibitive, the highest-leverage response is a documented, unemotional public post naming specific evidence — website comparisons, traffic data, compliance discrepancies — and naming the funding source. Patel's post reached millions, caused VCs to follow Kled, and generated inbound investment interest, all without legal fees. The key is keeping the post factual and avoiding personal attacks to maintain credibility.
• •OpenAI YC Credits as Intelligence Play: Sam Altman's offer of $2M in OpenAI credits to current YC batch companies in exchange for equity gives OpenAI usage telemetry across 200 startups simultaneously. By monitoring which companies scale from 2M to 20M tokens, OpenAI can identify breakout applications, prioritize acquisition targets, and replicate successful use cases natively. Founders should treat any platform offering subsidized infrastructure plus equity as a market intelligence arrangement, not a philanthropic one.
• •Human Data Marketplace Economics: Kled has collected over 1.1 billion files in four months, with 5 million daily uploads from 300,000 users. A single unnamed AI lab offered $1,000 per person for selfie camera rolls from 100,000 participants — a $100M contract currently blocked only by fraud detection pipeline gaps. The key infrastructure bottleneck in this category is not data volume but fraud detection: duplicate filtering, AI-generated image rejection, and task-compliance verification at scale.