Data Infrastructure
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For: High-Volume SaaS & Logistics Leaders
Database Design and Scaling
Schema indexing, write-path replication, and sub-second analytical queries.
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STATUS: ACCEPTING 2 NEW Q1 PROJECTS. [BOOK AUDIT]
Jumpstart Scaling · Private automation architecture
Stop gluing the business together with tools and hope.
Stop hiring freelancers. Start building an empire. The 'Unicorn Developer' who builds full-stack applications, engineers private AI systems, and automates your entire backend.
THE DIAGNOSIS
THE "FRANKENSTEIN" PROBLEM
(Why Your Business Feels Fragile, Heavy, and Expensive)
If you are reading this, you are likely generating revenue. You have product-market fit. You have customers.
But behind the scenes, things are... messy.
You have built a "Frankenstein" business.
- The Head: A WordPress site built by a freelancer who ghosted you three years ago.
- The Body: A CRM (HubSpot/GoHighLevel) that uses only a small part of what it can do.
- The Veins: A tangled mess of Zapier "Zaps" that can cost four figures a month and break every time an API updates.
- The Brain: You. You are the only one who knows how it all connects.
You are burning cash on coordination costs. You don't need more parts. You need a Unified Architecture.
THE SOLUTION I DON'T JUST WRITE CODE.
I DON'T JUST WRITE CODE.
I ENGINEER OUTCOMES.
My name is Chris Amaya. I have been building the backend of the internet since 2004.
Most developers stay in their lane. It results in fragmentation. I own the entire highway. I offer a Single Point of Truth for your entire technical stack.
MY 3-PILLAR "SOVEREIGNTY" SYSTEM
🏗️
1. INFRASTRUCTURE & CLOUD
Stop renting expensive SaaS. I build Sovereign Assets.
- Self-Hosted Automation
- Custom Client Portals
- Docker/Nginx Management
🧠
2. INTELLIGENCE (AI AGENTS)
Stop manual pasting. I build Autonomous Agents.
- "Inbox Zero" Auto-Draft
- Competitor Analysis Bots
- Private Local LLMs
💰
3. REVENUE PHYSICS
Stop guessing. I engineer Bulletproof Tracking.
- Server-Side Tracking (CAPI)
- Funnel Optimization
- Real-Time ROAS Dashboards
DEEP DIVE NO. 1
THE "KILL ZAPIER" INITIATIVE
Zapier is great for prototypes. It is terrible for scale. You are punished for succeeding.
The n8n Solution:
- Cost: your hosting bill (check your host's price), not a per-task fee
- Tasks: Unlimited
- Power: Run Python/JS code
You stop paying per-task fees. You take on hosting and upkeep, so count that time too.
MODELED EXAMPLE
$23,760
Not a client result. Assume an automation bill of $2,000 a month ($24,000 a year) and $20 a month of hosting ($240 a year). The gap is $23,760 before setup and upkeep time. Use your own bill.
WHO IS THIS FOR?
I am expensive. I am not for everyone. I do not build $500 WordPress brochures.
HIGH VOLUME
You have a "scaling" problem, not a "starting" problem.
OWNERSHIP MINDSET
You want to own your tech stack, not rent it.
COMPLEXITY
"Off the shelf" software doesn't fit your workflow.
READY TO BUILD?
BOOK YOUR TECHNICAL STRATEGY SESSION
This is where the chaos ends and the engineering begins.
Modeled scenarioSaaS and subscription software companies
A worked example for saaS and subscription software companies
Picture a SaaS product with trials and a small sales team. People sign up for a trial and never use the app. The first session is where most of the loss happens. A clear first task, a nudge when someone stalls, and a short check-in for larger accounts can improve it.
The CRM tracks product usage next to deal stage, so the sales team talks first to trials that are active. Cold trials get automated emails instead of calls.
What people do
Customer success talks to larger accounts. Product decides what the first task is.
Where AI fitsAI assists
AI drafts the nudge emails. Rules decide which trials get a call.
Modeled scenario
These are assumed inputs run through the same formula as our ServiceTitan Home Services ROI Calculator. They are not a forecast and not a client result.
| Input | Assumed value |
|---|---|
| Leads per month | 400 |
| Booking rate (%) | 18% |
| Close rate (%) | 28% |
| Average sale | $2,400 |
| Result | As assumed | If booking rate is 24% |
|---|---|---|
| Booked per month | 72 | 96 |
| Signed per month | 20.2 | 26.9 |
| Revenue per month | $48,384 | $64,512 |
Moving “Booking rate” from 18% to 24% changes “revenue per month” from $48,384 to $64,512, a difference of +$16,128.
Calling active trials first puts effort where interest is highest.
Formula: booked = leads x booking rate; signed = booked x close rate; revenue = signed x ticket
Method: the inputs are our assumptions for a SaaS product with trials and a small sales team, chosen to be plausible, not measured. Change them to your own numbers in the calculator and the same formula applies.
The plan
- Send product usage events into the CRM for each trial.
- Create a score from a few actions, and route high scores to sales.
- Send behavior-based emails to the rest and review replies each week.
What we would track
- Trial to demo booked
- Demo to paid
- Response time on high-score trials
Risks to plan for
- A score built on guesswork needs checking against real closed deals.
- Syncing usage data can expose private data. Send only what you need.