When to Hire: The "Minimum Viable Community"

Thu, 14 May 2026 15:54:00 +0000

The Timing Trap

As a leader who has managed teams of various sizes, I’ve seen companies make the same mistake twice: hiring DevRel too early (before they have a stable schema) or too late (after the "Glue Code" debt has become insurmountable).

In the AI era, the "when" is no longer about hitting a revenue milestone. It’s about Data Sovereignty and Integrity.

The "Hashgraph" Lesson: Architecture Over Hype

Regardless of specific platforms, the Hashgraph approach—prioritizing asynchronous Byzantine Fault Tolerance (aBFT) and high-integrity consensus—is a masterclass in system architecture. For a Director of DevRel, this is the "North Star." You don't start a dedicated DevRel/Builder Relations function when you have a product; you start it when you have a Standardized Protocol that requires consensus to scale.

Three Stages of the Builder Relations Lifecycle

Based on the "Rock Quarry" to "Enterprise Scale" journey, here is the hiring framework I recommend:

The "Backyard Quarry" Stage (Seed/Series A):
- Focus: Founders and early engineers are the advocates.
- Goal: Designing a schema for physical or digital objects that actually maps to reality. You don't need "advocacy" yet; you need Foundational Architecture.
The "USB-C Moment (Series B/C):
- Focus: Your first dedicated Builder Relations hire.
- Goal: Standardization. This person’s job is to stop the "Glue Code" from suffocating your users. They should be building the MCP servers that allow AI agents to interact with your system with high-reasoning synthesis.
The "Sovereign Vault" (Enterprise):
- Focus: Scaling to a Director-led team.
- Goal: Governance and Ethics. This is where the "Auditor" persona comes in. You are now managing the "Human-in-the-Loop" systems that ensure your community's data remains private, verifiable, and sovereign.

The Takeaway

If you are building a system that requires a "Verifiable Archive," your first DevRel hire shouldn't be a social media manager—they should be a System Architect. They are the ones who will ensure your "Digital Archaeology" doesn't become a digital graveyard.

The Question:

Are you hiring for "noise" (reach) or for "integrity" (consensus)?

The "Physical NFT" is Dead. Long Live the Verifiable Digital Twin

Thu, 30 Apr 2026 16:06:00 +0000

We’ve spent years putting "Monkey JPEGs" on the blockchain. But as a system architect, I’m less interested in speculative art and more interested in the mathematical reality of physical objects. Can we bridge the gap between a raw river rock and a Hedera hashgraph?

The Reality: Photogrammetry (Museum-Grade Ingestion)

Before we talk about ledgers, we have to talk about the data. Photogrammetry is the process of extracting 3D information from 2D photographs. By taking hundreds of overlapping photos, we can reconstruct a dense point cloud and eventually a high-resolution 3D mesh.

This isn't just a "3D model"; it’s a forensic record. For example, check out this Granite Head of Amenemhat III on Sketchfab. That level of detail—the micro-textures of the stone—is what we are aiming to "anchor."

The Ledger: Why Hedera and the DAG?

For a project involving thousands of physical items (like my current Backyard Quarry experiment), a traditional, slow, expensive blockchain is a non-starter. I’ve been looking into Hedera specifically because of its Directed Acyclic Graph (DAG) structure.

Unlike a linear chain, a DAG allows transactions to happen in parallel via a "Gossip Protocol." This means finality in seconds for a fraction of a penny ($0.0001). If I want to anchor the provenance of a single rock, it has to be financially viable.

The Concept: The Decentralized Scribe

In my work, I define a Decentralized Scribe as a high-integrity agent—an automated system that sits between the physical world and the ledger. It:

Observes: Ingests the photogrammetry data.
Hashes: Creates a geometric "fingerprint" of the 3D mesh.
Signs: Anchors that fingerprint to the Hedera Consensus Service (HCS).

The Scribe is the bridge of trust. It proves that the 3D model on your screen matches the physical object in my hand at a specific point in history.

Connecting the Dots: The "Ask"

I’m currently exploring this intersection, conceptually in my Rock Quarry series, and I’d love to hear from this community:

Geometric Hashing: Is a hash of a 3D mesh stable enough? If I re-scan the object next month, will the "fingerprint" stay the same?
The Oracle Problem: How do we decentralize the "Trust" that the scan actually matches the item?
Utility: Beyond collectibles, where does "Verifiable Provenance" actually solve a pain point for you?

Is this the bridge we’ve been waiting for, or is the "Oracle Problem" too high of a wall to climb?

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