How Kong Was Born: APIs, Hustle, and the Future of AI Infrastructure

Early Struggles and Origins (2009–2011)

• Founders Auggie and Marco started MassShape (later Kong) in a garage in Milan with zero capital, risking a 90-day deadline to secure funding or return to Italy bankrupt.
• The team traveled to the US on a tourist visa with only $600, spending two weeks before departure securing small angel checks (approx. $50k total) from YouTube's founding team.
• Kevin Donahue, a VP on YouTube's funding team, invested after founders emailed 400 attendees of a Stanford Entrepreneurship Week mixer; the deal was closed at Travis Kalanick's "Jam Pad" in Castro, where Donahue initially offered a 50% discount convertible note which the founders countered to 42% discount.
• Post-funding, the team lived in Valencia, CA, on $1,000/month for three people (approx. $333 each) by sleeping in a shared Airbnb mattress and eating only rice, beans, and tuna pasta.
• The company struggled with legal status for over a year, unable to pay salaries due to lack of social security numbers or valid work visas, surviving on promissory notes.
• In 2011, the company pivoted from a drag-and-drop app builder to an API marketplace after realizing the technology was premature and the market required a centralized aggregation model.
• The pivot led to a massive $1.5 million seed round in 2011–2012 led by NEA and Index Ventures, with significant checks from CRV (George Zachary), Jeff Bezos (via family office), and Eric Schmidt (via fund).
• Jeff Bezos was introduced via a family office lawyer, recognizing the potential of API marketplaces alongside AWS growth; Eric Schmidt invested after observing the team working until 3–4 AM at a co-working space.

The Crisis and Pivot to Open Source (2012–2015)

• Despite a $6.5 million Series A led by CRV and Index, the API marketplace model failed to monetize due to lack of exclusivity, low quality control, and inability to force supply (developers could access APIs directly without the marketplace).
• The company burned through cash and faced closure, prompting a pivot to build the underlying API gateway engine that was powering their failed marketplace.
• In 2015, the company open-sourced the engine as Kong, raising a $2 million bridge round from existing investors to survive just two weeks before securing Series B.
• Auggie Azzurri notes the company experienced "seven years of starvation," a period now symbolically commemorated annually via the "Founders Award" of 2,555 stock shares representing 7 years x 365 days.
• Series B funding was secured late 2016 after investor due diligence revealed overwhelming organic adoption and "zeitgeist" around the open-source project, with growth from < $1M ARR to $10M ARR in the first year post-funding.

Business Evolution and Market Position (2016–Present)

• Kong evolved into an enterprise API infrastructure company, managing control planes and data planes for microservices, providing authentication, rate limiting, and billing for high-scale API connectivity.
• The company emerged as the independent leader in the API space, benefiting from the acquisition of competitors like MuleSoft and Apigee, which validated the market need for API management.
• Current revenue scales to over $100 million ARR, driven by the necessity of managing complex microservice architectures and the shift from monolithic to decentralized cloud systems.
• The "Founders Award" ritual involves throwing a KONG toy, which the CEO catches, symbolizing the team's survival through the seven-year struggle phase.

Strategic Outlook: AI and API Convergence

• Azzurri views AI as an acceleration of the API-first trend, where "agents" will consume the internet programmatically via APIs rather than human UIs.
• The company is building a unified AI and API connectivity platform to handle traffic convergence, including token management, key rotation, and authentication for LLMs and agents.
• A key infrastructure bet is that just as microservices eventually abstracted connectivity logic into a gateway pattern, LLMs will similarly require a centralized gateway to manage token rates, authentication, and routing across hundreds of models.
• The emerging "MCP" (Model Context Protocol) and similar standards are creating a new layer of API traffic where intelligence is sold via tokens, requiring specialized infrastructure for management and governance.

Leadership Philosophy and Advice

• Azzurri emphasizes that startup success often takes much longer than anticipated, requiring founders to bet on long-term structural trends rather than short-term fads.
• The primary advice for founders is to keep burn rates low in early stages to survive the inevitable delays and "starvation" periods while maintaining belief in the market trajectory.
• Founders should avoid visualizing failure, as the fear of returning to a previous life state can be a powerful motivator to persist through critical growth phases.
• Connectivity and infrastructure for AI agents (authentication, key management, routing) are viewed as the immediate, high-value problems to solve before models themselves become the sole focus of investment.