Unified data infrastructure · solo operator

Every billion-dollar company
runs on a unified database.
Almost nobody else does.

You can’t answer basic questions about your own business without an export party, an analyst, or a guess. Dandelion fixes that. Usually in about two weeks.

Start with an audit →See what we build
Currently bookingQ3 2026 · 1 slot open
Operators I’ve built for
CLEANGIRL
Pilot · ecommerce
Pilot · hospitality
Pilot · services
What I build

The product, in plain terms.

Your business data probably lives across Shopify, Amazon, Klaviyo, Meta ads, QuickBooks, Google Sheets, a 3PL portal, Instagram DMs, and five other places. None of it talks to the rest. You can’t answer basic questions about your own business without an export party. That’s the problem. Here’s what I build to solve it.

01

A unified database.

Every order, email, DM, invoice, ad impression, and conversation, all in one place. Queryable. Connected. Yours.

02

Custom operator software.

A dashboard built for your actual workflow. Not a generic Looker install. Not a template. The interface your business deserved and couldn’t buy off the shelf.

03

Automations that do things.

Restock alerts that trigger purchase orders. Churn signals that open tickets. Billing anomalies that get flagged the day they happen. Not reports. Actions.

04

AI that actually knows your business.

Ask questions in plain English. Get real answers from your real data. No SQL, no dashboards to navigate, no waiting on an analyst.

Engagement

Four steps. Two weeks.
Live system.

Most data projects take six months and cost a quarter million. That math works for Fortune 500s. It doesn’t work for you. Here’s how we compress it.

  1. Step 01 · 1 week
    Audit
    90 minutes mapping your stack, your data, and your actual workflow. You get a written report: proposed architecture, a list of SaaS you can eliminate with savings estimates, and a prioritized automation roadmap.
  2. Step 02 · 7–10 days
    Build
    We connect your sources, unify your data into a custom database, and build you a bespoke operator app that matches how your business actually runs.
  3. Step 03 · Launch
    Launch
    We load your historical data, ship the initial automations from your audit, and train your team. You go live with a working system.
  4. Step 04 · Ongoing
    Evolve
    Your business changes. Your system changes with it. New automations, dashboards, integrations as you grow. Most clients keep us on retainer for exactly this reason.
Past work · Cleangirl

From six platforms
to one source of truth.

Creator-led cleaning brand with 25M+ followers across YouTube, TikTok and Instagram. I built the unified data stack behind it: Shopify, Amazon, Klaviyo, 3PL, Meta and TikTok ads, all reconciled into one Postgres. Subscription economics for Magic Foam. Influencer gifting automation. Hourly sales tracker. The architecture behind Dandelion was proven here first.

Read the full breakdown
Total audience
25.1M
YT 17.7M · TT 5.6M · IG 1.8M
Data sources unified
6
Shopify, Amazon, Klaviyo, 3PL, Meta, TikTok
3PL overcharges recovered
$18.4k
Automated bill auditing, 90 days
Sales tracker cadence
1 hr
Previously: end-of-week spreadsheet
“Every order now shows me the real P&L in real time. Shipping cost, pick-and-pack, ad attribution, margin. All of it. Before Daniel, we priced by guessing and waited a month to find out the result. Now we know in the moment, and we can actually make decisions. That’s the difference.
Stacey · Cleangirl
Founder & creator
In flight · 4 beta builds

Case studies launching soon.

Dandelion builds are running in beta with pilot partners across ecommerce, hospitality, field services, and forestry. Detailed case studies with real numbers will publish here when each deployment has produced meaningful data. Names withheld until each partner approves.

Hospitality
Fly fishing lodge

Unified booking, guide scheduling, gear inventory, guest history, per-trip P&L.

Case study launching soon.
Ecommerce
Specialty food brand

Wholesale / DTC split, subscription economics, production scheduling, freshness tracking.

Case study launching soon.
Field services
Electrical contractor

Job costing, technician routing, margin per visit, quote-to-cash.

Case study launching soon.
Forestry services
Land clearing operation

Equipment utilization, property records, seasonal demand modeling, job profitability.

Case study launching soon.
Why Dandelion exists

Why Dandelion exists.

Every Fortune 500 runs on a unified data warehouse. Every one. It’s how they answer questions about their own business in seconds instead of weeks. For decades this has been out of reach for smaller companies. It required a data team, six-figure infrastructure, and a year of patience. Nobody under $50M could get there.

That changed recently, and most people haven’t noticed yet. Between modern cloud databases, AI-assisted development, and the right architectural choices, one technical operator can now deliver what used to take a team of five. I know because I spent over a year doing exactly that for a creator-led brand with 25 million followers across platforms. Every piece of their operation, from fulfillment to email to subscription economics, unified into one system they could actually run from.

Dandelion is that capability, made available to every business that’s hit the ceiling of off-the-shelf tools. You don’t need to be a Fortune 500 to operate like one.

Why one person

One expert, not an expert plus a team.

Most agencies work like this. One genuinely good person sells the work, then hands it to a team that doesn’t quite match the sales pitch. I’ve been that agency’s client more than once. The work suffers every time.

Dandelion is one operator, end to end. The person who scopes your engagement is the person who builds your database, writes your automations, and answers your questions on Slack. You get full attention on one project at a time.

I’m openly AI-leveraged. That’s what lets one operator deliver what used to take five. It’s also what makes this sustainable at a price a $5M business can actually afford.

I’m not here to replace your technical person. Most clients have a smart internal tech lead who’s already underwater. I’m here to ship the systems they wish they had time to build, and hand them the keys so they can run it from there.

What this isn’t

Not BI dashboards. Not a SaaS subscription. Not an agency with a team you’ll never meet. One operator, building you the system. Two weeks. One project at a time.

Pricing

Three engagements. Transparent pricing.
No procurement process.

Most consultancies hide their prices behind “let’s jump on a call.” I’ll tell you right now.

Audit
$1,500

A 90-minute deep dive into your stack and workflow, followed by a written report covering:

  • Proposed unified data architecture for your business
  • SaaS consolidation opportunities with estimated annual savings
  • Prioritized automation roadmap with ROI estimates

Delivered in one week. Credited in full toward Foundation if you proceed.

Start with an audit →
Most common
Foundation
$8,000

The full system build.

  • Unified database with all your data sources connected
  • Custom operator dashboard built for your workflows
  • 5 to 10 initial automations from the audit roadmap
  • AI query layer for plain-English questions against your data
  • Team training and handoff documentation
  • 30 days of post-launch support included

Delivered in 7 to 14 days.

Talk about a build →
Ongoing
$2,500 / month

Continuous development and support.

  • New automations, dashboards, and integrations as your business evolves
  • System monitoring with proactive alerts
  • Monthly performance review
  • Priority response on anything breaking
  • Unlimited AI-assisted support via email

3-month minimum. Cancel anytime after.

Get in touch →
For context

A full-time data engineer runs $150K fully loaded. A modern data stack subscription (Fivetran + dbt + Looker) runs $30K to $50K per year in SaaS alone. Foundation delivers 60% to 80% of what they provide, in 10 to 14 days, once.

About

About.

I’m Daniel. I spent a couple of years at Cleangirl from the very beginning, a creator-led consumer brand with tens of millions of followers across platforms. In the last year I went deep on the data infrastructure side. That’s when it became a real unlock, and it’s the playbook I now run as Dandelion.

The difference between a business that runs on data and a business that runs on dashboards is enormous, and almost nobody under $50M has made the jump. The tools that made this possible didn’t exist eighteen months ago. They do now. I’m one person, openly AI-leveraged, which is exactly why I can deliver in two weeks what used to take a quarter and cost ten times more.

If you run an operation that’s outgrown its tools, fill out the intake below. A few minutes, no call required. I’ll send back a written snapshot of your situation within one business day, and we’ll go from there.

Start the intake →
On the name

On the name.

Most people hear “dandelion” and picture a flower. Sit with it longer and you see what a dandelion actually is. A plant that grows through cracked concrete. Survives drought because of what’s underneath. One stem seeds an entire field. Underestimated on the surface, nearly impossible to kill once rooted.

That’s the right metaphor for this work. The infrastructure I build isn’t the part you see. It’s the root system that makes the visible part possible. It’s what lets a smaller business grow through the cracks larger competitors assume will stop them.

The visual brand subverts the floral read on purpose. No yellow, no soft edges, no decoration. The only nod to the flower is a single gold dot at the center of the logo mark. The seed. The source. The one piece of warmth in an otherwise sharp system.

Don’t underestimate what looks quiet.