Born Open Startup
⚠️ STATUS: PRELIMINARY
A startup that is "Born Open" is one that rejects the traditional notion of proprietary knowledge appropriation (e.g., obtaining patents). For these companies, software patents are often viewed as an obstacle rather than an asset.
Instead, a Born Open startup views itself as part of an ecosystem. These firms typically operate autonomously but share interconnected goals, participating in a community with shared governance to prevent the exclusive appropriation of technology.
The Philosophy of Open Strategy
According to Mekki MacAulay:
"Open strategy involves the collective production of a shared good in an open fashion such that the resulting product is available to all, including competitors. In the case of open entrepreneurship, 'born-open' startups are entrepreneurial ventures whose business models are designed specifically based around a collective good."
If the technology is viewed as a hub that connects a network of stakeholders, it forms a value network that nurtures the technology. This creates a self-reinforcing virtuous circle where the shared resource becomes more valuable for all players.
Business Models: How to Monetize "Free"
Open source flips the conventional IP paradigm. It operates on the philosophy that shared effort is more efficient and effective than closed systems. West and Gallagher (2006) suggest four strategies for capturing value:
- Pooled R&D: Lowering innovation costs by sharing the development burden with a community. Competitors in the same industry often collaborate on foundational, non-differentiating infrastructure. By contributing to shared open-source projects (such as the Linux kernel or Kubernetes under the Cloud Native Computing Foundation), companies drastically reduce their individual Research and Development expenses. They avoid reinventing the wheel, share the maintenance burden, and instead focus their proprietary budgets on unique, user-facing features that drive their actual revenue.
- Spinouts: Creating independent ventures that require less direct investment while still benefiting the parent. A tech company may develop a powerful internal tool, open-source it, and spin it out as a separate foundation or startup. This allows the new entity to attract external venture capital and community contributions, reducing the parent company's financial risk. The parent continues to benefit from the technology's rapid, ecosystem-driven maturation without having to fund the entire engineering team (e.g., Google open-sourcing Kubernetes).
- Selling Complements: Offering paid services, hardware, or premium features on top of a free core (the "Open Core" model). Businesses offer the base software at no cost to remove friction, build massive user bases, and establish industry standards. They then monetize by selling enterprise necessities: managed cloud hosting (SaaS), advanced security (Single Sign-On), compliance auditing, and dedicated 24/7 technical support. Companies like MongoDB, Elastic, and Automattic (WordPress) rely heavily on this strategy.
- Attracting Donations: Accelerating development through external contributions of code or resources. In the open-source ecosystem, "donations" encompass both financial backing (grants, GitHub Sponsors) and crowdsourced "sweat equity" where developers fix bugs, translate documentation, and test edge cases without adding to company payroll.
The Concept of "Forking"
When factions in an open source community disagree about the future direction of the technology, they may create a Fork—developing a separate work stream from the main trunk. There are two primary types:
- Community Forks: Driven by users to maintain momentum, preserve open-source philosophies, or ensure continued community governance. A prominent example is the evolution of MariaDB from MySQL in 2009 by Michael "Monty" Widenius following Oracle's acquisition of Sun Microsystems, ensuring a drop-in replacement database remained freely available under the GPL.
- Commercial Forks: Used to develop a stable, enterprise-grade product—often with paid support and proprietary branding—without infringing on the original stream's licensing. For example, Red Hat Enterprise Linux (RHEL) operates as a commercial derivative of the upstream, community-driven Fedora project.
Sustainability: Can Code be Immortal?
Open source philosophy argues that project artifacts should be preserved for the collective. However, sustainability requires a minimum level of attention from a critical mass of investors or developers to ensure the technology survives even if the original creators move on.
In reality, software does not exist in a vacuum. Code that is completely abandoned quickly falls victim to bit rot or software decay. While the source code itself doesn't physically degrade, the ecosystem around it—compilers, operating systems, hardware architectures, and third-party dependencies—constantly evolves. Without active maintainers to patch security vulnerabilities and update deprecated APIs, an unmaintained project will eventually break and become a liability.
This friction highlights a critical human vulnerability in open source: the "bus factor" and maintainer burnout. Many foundational pieces of the modern internet (seen in incidents like Log4j or OpenSSL's Heartbleed bug) are maintained by solo developers or small volunteer teams. When these individuals face burnout or lose funding, the project stagnates.
To achieve actual sustainability, the tech industry turns to institutional stewardship. Organizations like the Linux Foundation and the Apache Software Foundation help transition critical projects into supported infrastructure with continuous energy, legal protection, and routine maintenance funding.
Ultimately, there is a stark difference between archiving code (e.g., the GitHub Arctic Code Vault) and sustaining it. For software to remain practical and living, it requires the ongoing, active metabolism of a dedicated human community.
Academic Research Highlights
1. Greul, A., West, J., & Bock, S. (2018)
"Open at birth? Why new firms do (or don’t) use open innovation." Strategic Entrepreneurship Journal, 12(3), 392–420.
Core Focus: Investigates why new ventures adopt or avoid Open Innovation (OI) at inception.
- Strategic Heterogeneity at Inception: Startups deliberately choose varying degrees of openness (closed, selectively open, or fully open) based on their founding business model.
- Resource Scarcity vs. IP Hazards: Resource constraints push startups toward inbound OI (leveraging external tech), while fear of IP theft by larger competitors deters outbound OI without protections.
- Founder Imprinting: Founders with roots in open-source communities or academia are significantly more likely to establish open practices from day one.
- Selective Openness: Successful startups keep core differentiating assets proprietary while opening non-core architecture to build network effects.
2. Audretsch, D. B., Belitski, M., Caiazza, R., & Siegel, D. (2023)
"Effects of open innovation in startups: Theory and evidence." Technological Forecasting and Social Change, 194, 122694.
Core Focus: Analyzes how specific open innovation practices, partner choices, and internal capacities influence startup growth and productivity.
- Positive Performance Link: Inbound knowledge sourcing and R&D collaboration enhance innovation novelty and firm-level productivity compared to closed models.
- Partner-Specific Outcomes: Market partners (customers, suppliers) drive rapid commercialization; institutional/science partners (universities) drive radical innovation and patents.
- Role of Absorptive Capacity: Openness requires internal R&D skill (absorptive capacity) to effectively identify, assimilate, and exploit external knowledge.
- Breadth vs. Depth: High-depth, focused partnerships produce higher returns than broad, shallow networks that increase coordination overhead.
Video Overview: Open Source Economics
Case Study: DeepSeek
Disrupting AI through Transparency
A "Born Open" strategy allows a startup to compete with giants by letting the entire world help improve and distribute the product.
- Open Weights: Releasing model weights enables developers globally to run and optimize the AI on their own infrastructure.
- Technical Transparency: Publishing detailed research papers on training architecture and efficiency builds instant credibility and adoption.
- Community Flywheel: Openness creates an active developer base that optimizes runtimes, hardware backends, and tooling for free.
- Disruptive Cost: Demonstrates that a lean, open team can rival the output of labs spending ten times more on closed systems.
The Result: Rapid global adoption and brand recognition without restrictive paywalls.
References
Audretsch, D. B., Belitski, M., Caiazza, R., & Siegel, D. (2023). Effects of open innovation in startups: Theory and evidence. Technological Forecasting and Social Change, 194, 122694.
Greul, A., West, J., & Bock, S. (2018). Open at birth? Why new firms do (or don’t) use open innovation. Strategic Entrepreneurship Journal, 12(3), 392–420.
West, J., & Gallagher, S. (2006). Challenges of open innovation: the paradox of firm investment in open‐source software. R&D Management, 36(3), 319–331.
E15, Part 1: Mekki MacAulay, world's top open-source strategy expert for enterprises, RedHat
Featuring Mekki MacAulay • Published: March 2021 • Source: RedHat
In part one of this episode, enterprise open-source strategy expert Mekki MacAulay discusses how large organizations leverage open-source models, community ecosystems, and collaborative architectures to build competitive advantage and drive enterprise-level digital transformations.
Related Theories
To disrupt the Closed Tech Giants, you must rely on West & Gallagher's (2006) models: build a massive ecosystem, pool community R&D, and sell complements to survive.
Reach 100 Code Quality before the Closed Giants crush you, and don't let Capital hit $0!