Nathan Brewer
Full-Stack • IoT • Infrastructure • AI-Native
I don't sell hours. I sell directed inference.
12.6 billion tokens aimed at real problems.
12.6 billion tokens aimed at real problems.
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Chapter 01 // The Generalist
Master of all technology.
Lazy coder.
Lazy coder.
14 years on GitHub. 9 languages. Hardware, firmware, mobile, web, infrastructure.
The kind of engineer who can build anything from a PCB to a Kubernetes cluster
— but always built just enough to prove it worked, then moved on.
GitHub Contributions // 2022-2025 (pre-AI era)
70
2022
189
2023
210
2024
1,052
2025-26
← 5x jump
C++
C
JavaScript
TypeScript
Swift
Kotlin
Python
PHP
HTML/CSS
Eagle CAD
KiCad
ESPHome
Pulumi
Terraform
Docker
Chapter 02 // The Inflection
Same brain. Infinite throughput.
The generalist skillset wasn't the weakness — it was the latent advantage.
Knowing a little about everything meant knowing exactly where to point
the most capable AI models on the planet. The lazy coder became the
most efficient one.
Before // Pre-AI
Daily output50-100 LoC
Projects/day1 (maybe)
Contributions/yr~150
Context switchesPainful
BreadthWide but shallow
Weakness"Lazy coder"
→
After // AI-Native
Daily output4,123 LoC
Projects/day3.2 average
Contributions/yr1,052+ (accelerating)
Context switches64% of days, no friction
BreadthWide AND deep
SuperpowerDirected inference
Chapter 03 // The Receipt
12.6 billion tokens.
73 days. 30 repos.
73 days. 30 repos.
Not vanity metrics. Actual inference consumed building production systems
— infrastructure-as-code, IoT platforms, customer-facing applications,
mobile apps, and everything in between. Running 87% on Opus, the most
capable model available.
12.6B
Tokens Processed
124,622
API Calls
4,123
LoC / Day
30+
Production Repos
87%
OPUS
Opus (87%) — Maximum capability
Sonnet (11%) — Fast iteration
Haiku (1%) — Quick lookups
Inference by Domain
Chapter 04 // The Vector
The trajectory is vertical.
Monthly GitHub contributions overlaid with daily token consumption.
The green is what the world can see. The magenta is the engine underneath.
Weekly Token Velocity (Last 4 Weeks)
Week of Jan 26
Week of Feb 2
Week of Feb 9
Week of Feb 16
Chapter 05 // Work With Me
Hire the whole team.
One engineer. Full-stack output. Infrastructure to IoT to frontend.
I bring the AI compute, the context, and 14 years of building everything
from circuit boards to cloud platforms.
172M
Tokens / Day
3.2
Projects / Day
1,707
API Calls / Day