Service

SaaS dashboard and analytics platform development

Dashboards look simple and are not. The hard parts are pulling data from systems that disagree with each other, keeping queries fast as rows accumulate, and designing a screen that answers a question instead of displaying every number you have. I build analytics products that stay fast and stay useful.

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creators using CreatorDash analytics: 500+creators using CreatorDash analytics
role-based dashboard system for Neuron: 8 rolesrole-based dashboard system for Neuron
daily transactions tracked in Genflix: 500+daily transactions tracked in Genflix

Where teams get stuck

Your data lives in five different tools

Stripe, your database, an ad platform, a CRM, a spreadsheet someone maintains by hand. Each has a different API, different rate limits, and a different idea of what a 'user' is.

The dashboard got slow

Queries that were instant at 10,000 rows time out at 10 million. Fixing that means aggregation tables, incremental rollups, and caching — architecture, not a faster server.

Nobody uses the dashboard you built

A screen with forty metrics answers nothing. Useful dashboards start from the decision the viewer needs to make and show only what informs it.

What you get

Integrations with the platforms your data actually lives in — Stripe, YouTube, Gumroad, internal APIs
A scheduled sync pipeline with retries, backfill, and failure alerting
Pre-aggregated metrics so charts load instantly regardless of data volume
Charts, filters, date ranges, and segment comparison that feel instant
Role-based access so clients, staff, and admins each see the right slice
CSV and scheduled email exports for the people who still live in spreadsheets
Multi-tenant architecture if you are reselling the dashboard to your own clients

How it works

01
Decide what the dashboard is for
We name the three decisions this dashboard should drive. Everything that does not support those decisions gets cut before a line of code is written.
02
Data plumbing first
Integrations, normalisation, and the sync pipeline. Unglamorous, and the part that determines whether the product works six months from now.
03
Interface and performance
The visible layer, built against real data volumes rather than seed data — so it is fast on launch day, not just on your laptop.
04
Access control and rollout
Roles, permissions, and multi-tenancy configured for how your team and clients actually use it.

Frequently asked questions

Can you integrate the platforms my data is already in?

Yes. I have built production integrations against Stripe, YouTube, Gumroad, WhatsApp, and a range of internal REST and GraphQL APIs. If a platform has an API, it can be integrated; if it does not, there are usually export-based workarounds.

Will the dashboard stay fast as our data grows?

That is an architecture decision made up front. I use pre-aggregated rollup tables and incremental syncing rather than querying raw rows on page load, so response time stays flat as volume grows.

Can I resell the dashboard to my own clients?

Yes — multi-tenant architecture with per-client data isolation, custom branding, and role-based access is a standard part of the build if you need it.

Do you handle the design as well?

Yes. I design and build the interface. If you already have a designer or a design system, I will build to it exactly.

Need a dashboard people actually open?

Tell me what data you have and what decision it should drive. I will map the integrations and scope it out.

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