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Alexa Amundson c4f8a6e37e feat: 6 blog posts + Q2 2026 campaign brief
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- 94% vendor lock-in fear → self-hosted solution
- 80% ads misunderstood → transparency system
- 68M Raspberry Pis sold → 5 run our company
- $18.48B self-hosted market → market analysis
- 43% email open rate is fake → what actually works
- 82% SMBs say AI not applicable → they're wrong

Campaign brief: 'Own Your Stack' Q2 2026
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- $330 budget, organic-first
- 12 tactics across PESO channels
- Full psychological principles mapping

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2026-03-14 18:25:49 -05:00

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68 Million Raspberry Pis Have Been Sold. Five of Them Run Our Entire Company.

Published: 2026-03-14 Author: Alexa Amundson Tags: raspberry pi, infrastructure, edge computing, self-hosted


As of March 2025, 68 million Raspberry Pis have been sold worldwide. Seven million shipped in 2024 alone. 70% of those went to industrial customers for embedded applications.

Five of them run BlackRoad.

Not as a demo. Not as a proof of concept. As the production infrastructure for a company with 30 websites, 207 git repositories, 50 AI skills, 334 web applications, and a billing system that processes real payments.

The Inventory

Node IP Role Hardware
Alice .49 Gateway, DNS, PostgreSQL, Qdrant Raspberry Pi 5
Cecilia .96 16 AI models, embedding, Hailo-8 Raspberry Pi 5 + Hailo-8 (26 TOPS)
Octavia .101 Gitea, Docker Swarm, Hailo-8 Raspberry Pi 5 + Hailo-8 (26 TOPS)
Aria .98 Agent runtime, NATS messaging Raspberry Pi 5
Lucidia .38 334 web apps, GitHub Actions Raspberry Pi 4

Total power: ~50 watts. Total compute: 52 TOPS neural inference. Total monthly cloud bill: $0.

Why Not the Cloud?

Because the cloud is a subscription to someone else's computer. And subscriptions compound.

An H100 GPU on AWS runs $3.90/hour. That's $2,808/month. That's $33,696/year. For ONE GPU instance.

Two Hailo-8 accelerators cost ~$200 total. They produce 52 TOPS. They run 24/7 in a closet. The electricity costs less per month than a large coffee.

The edge AI market is $24.91 billion and growing at 21.7% CAGR because organizations are doing this math and arriving at the same answer: own the hardware, own the models, own the data.

What Actually Runs on These Pis

This is not a toy setup:

  • Ollama serves 16 language models (Llama, Mistral, CodeLlama, Phi, Gemma, and more)
  • Qdrant provides vector search for RAG with academic citations
  • NATS v2.12.3 connects 4 nodes in a pub/sub mesh for agent communication
  • Gitea hosts 207 repositories as the primary git server (GitHub is a mirror)
  • Pi-hole filters DNS across the entire network, blocking 120+ tracking domains
  • PostgreSQL runs the primary database
  • Docker Swarm orchestrates containers across nodes
  • WireGuard encrypts the mesh network
  • Cloudflare Tunnels expose services without opening ports

Every cron job, every agent, every web application, every API — running on $35-$80 single-board computers.

The Real Insight

68 million Raspberry Pis have been sold because they are the most capable general-purpose computer per dollar ever manufactured. The Raspberry Pi 5 has a quad-core Cortex-A76, up to 8GB RAM, PCIe 2.0 for accelerators, and full Debian Linux.

Most of those 68 million are running home automation, retro gaming, or sitting in a drawer. A few of them are running companies.

The gap between "hobby project" and "production infrastructure" is not hardware. It's architecture. If you know how to orchestrate containers, route DNS, mesh a network, and deploy agents — a Pi is a datacenter node that costs $55 and fits in your hand.

The Question

You're reading this on a website served by a Raspberry Pi through a Cloudflare tunnel. The page loaded in under a second. The SSL cert is valid. The DNS resolved correctly. The content was generated by an AI model running on a $200 accelerator in a closet in Minnesota.

Did you notice?

That's the point.


BlackRoad OS — Pave Tomorrow.

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