Building OpenClaw in Public

Six months ago, I made a decision that felt counterintuitive: I would build OpenClaw — my AI agent platform — completely in public. Every architecture decision, every failure, every breakthrough. On LinkedIn, GitHub, and now here.

Here’s why.

The Strategic Case

Building in public isn’t just transparency theater. It’s a growth strategy with compounding returns:

1. Content creates distribution. Every post about a technical decision is content marketing that costs $0. LinkedIn’s algorithm rewards teaching. When I share how I implemented smart model routing, it reaches 10,000+ professionals who are my exact target audience.

2. Feedback is free R&D. When I posted about our Agent Tree Architecture, three CTOs DMed me with use cases I hadn’t considered. One became a design partner. That’s product research that usually costs $50K in consulting fees.

3. Trust compounds. By the time someone evaluates OpenClaw for their business, they’ve already read 20 posts about how it works. The sales cycle shrinks from months to days because the trust is pre-built.

Building in public doesn’t mean building in the nude. Here’s the framework:

Always share:

Architecture decisions and the reasoning behind them
Frameworks and mental models (these become intellectual property)
Failures and lessons learned (these build trust faster than wins)
Technical deep dives that teach something useful
Growth metrics at a high level

Never share:

Customer data or specifics
Security implementation details
Proprietary algorithms that are our core moat
Financial specifics beyond what’s legally required
Internal team disagreements

The Vulnerability Tax

Let’s be honest — building in public is emotionally expensive. When you share a failure publicly:

Competitors see your weaknesses
Potential customers might hesitate
Your inbox fills with unsolicited advice
Trolls appear (though they’re rarer on LinkedIn)

But here’s what I’ve learned: the people who matter — customers, partners, investors — respect vulnerability more than perfection. Nobody trusts the founder who only posts wins. They trust the one who says “We shipped a broken feature, here’s what we learned, here’s what we changed.”

The Compounding Effect

After six months of consistent building in public:

LinkedIn following: 2,000 → 15,000+ (organic, zero paid promotion)
Inbound leads: 3-5 qualified conversations per week from content alone
Talent pipeline: Engineers reach out to us (we don’t recruit)
Knowledge base: 50+ articles that serve as documentation, onboarding, and sales material simultaneously

Each piece of content links to others. Tutorials reference frameworks. Articles link to tutorials. The knowledge hub you’re reading right now is the culmination of that strategy.

My Advice

If you’re building something — a product, a career, a skill — share the journey. Not for vanity metrics. For the compounding returns of trust, feedback, and distribution that you simply cannot buy.

Start with one post per week. Share something you learned. Be specific. Be honest. The audience will find you.

About the author: JD Davenport builds AI agent systems at OpenClaw. Follow on LinkedIn for updates on building AI agents for business.