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Open Source Strategy: When to Build vs Buy

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Many founders approach open-source backwards, starting with distribution benefits and working backwards to justify the decision. Airbyte founder Michel Tricot argues that open-source is an architectural decision about your product, business model, and execution bar, not a distribution hack. The wrong choice is expensive to reverse.

Open-source works best for technical users who care about inspecting code, self-hosting, and extensibility. Non-technical buyers value it instrumentally for lower vendor risk and easier adoption. The critical test is whether users and contributors are the same persona - what Tricot calls the federation test. Projects like Airbyte succeed because data engineers both use and build connectors, creating network effects where contribution velocity compounds.

Founders must define the open-source wedge before writing code, deciding what job OSS should fully solve versus what requires paid features. Extensibility and control are double-edged swords - they can destroy companies if extension points are unstable or the core becomes bloated. Open-source also raises the execution bar permanently, requiring high documentation quality, public roadmap discipline, and backward compatibility paranoia. The most successful open-source companies focus on well-understood problems where the market already has shared vocabulary and established mental models.