We build the data work, dashboards and software companies keep postponing, in Python, on your domain, with the code handed over. The same work is what entrepreneurs resell under their own name, and what people breaking into tech learn on.
Most companies don’t have a data problem. They have a “nobody has time” problem.
The numbers already exist, in exports, in the CRM, in a spreadsheet someone maintains by hand. What’s missing is someone to connect them, and the last two years have made that harder, not easier: every tool now needs a specialist before it returns anything.
We skip that part. You describe the decision you’re trying to make. We build the thing that answers it, and we explain how it works so your team can keep it running.
Start hereStep 1 of 3
What we would do
Start with a data audit
Two weeks, fixed fee. We map the sources you point us at, set out exactly what conflicts with what, and hand you a costed plan.
A written source map you can hand to anyone
The specific reconciliations that are wrong today
A build plan with numbers, useful even if you do it in-house
A dashboard inside the Workspace you already pay for
We specialize in Google Sheets and Apps Script. Your numbers land in Sheets and refresh on a schedule, so nobody installs anything and nobody buys a seat.
The people who live in Sheets keep working exactly as they do
Definitions written down, so finance and ops stop disagreeing
Streamlit or Plotly instead when you genuinely need more
If your client runs Google Workspace this can be a branded Sheet driven by Apps Script rather than a whole application, which launches faster and costs you less to run.
Your brand, your domain, your pricing
A private link you forward to your client as your own work
Python end to end, so one team covers the pipeline, the model and the interface.
Data pipelinespandas and Polars. Scheduled jobs that pull from the tools you already use and land clean, reconciled tables somewhere useful.
DashboardsGoogle Sheets and Apps Script first, so it lives where your team already works. Streamlit, Dash and Plotly when you need more.
Modelsscikit-learn, XGBoost, forecasting. Scoring, segmentation, demand and churn, validated before it ships.
Web buildsDjango, FastAPI, static sites. Marketing pages, client portals and internal tools, deployed to hosting you own.
AutomationThe monthly report, the reconciliation, the export nobody wants to do. Run it on a schedule instead.
HandoverRepo, README and a walkthrough call. Accounts and hosting stay in your name throughout. You keep the code whether or not you keep us.
04
How a project runs
Scoping
Start with the questions at the top of this page. That is the intake, and it takes about a minute. If you would rather talk it through, ask and we will call you. Either way you get one page back: what gets built, what it costs, and our estimate of when it lands.
Build in the open
We aim to have a working link in front of you in the first week rather than a slide deck. Rough, but real, and you steer from there.
Ship to your domain
Deployed to hosting you own, with the repository transferred to your account and a README that a new hire could follow. We will set the hosting up with you, but the account is yours from the first day.
Thirty days of support
Included in the scope we agree. Bugs, small changes, and a session to get whoever inherits it comfortable. A retainer after that is optional.
05
Tell us what’s stuck.
One email, one call, one page back. If it isn’t a fit we’ll say so and point you somewhere better.