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Outcome · Web Application

Reports your team generates manually every week should generate themselves.

If producing the weekly performance report requires someone to pull data from three places, paste it into a spreadsheet, and format it for the management team — that's a workflow waiting to be automated. We build the data pipelines and dashboards that make reports generate themselves.

150+
Projects shipped
99%
Client retention
~12wk
Average delivery
The problem
Reporting workflow that requires manual data collection, transformation, and presentation — consuming hours of a skilled operator's time every week

Manual reporting is one of the most common sources of wasted operator time in growing businesses. The pattern is consistent: every Monday morning (or every end of month, or every quarter), someone spends 2–4 hours pulling data from the CRM, the billing system, the ad platform, and the product analytics tool — combining it in a spreadsheet — formatting it — and sending it up the management chain.

The failures of manual reporting:

Latency. The report shows last week's data because that's when it was assembled. Decisions made on 7-day-old data are worse decisions.

Human error. Manual data entry, formula errors, and incorrect range references produce inaccurate reports. Decisions made on inaccurate data are worse decisions.

Time cost. The person doing the reporting is usually a skilled operator whose time is worth more than the reporting work requires.

No self-service. When someone wants to ask a slightly different question than the report answers — "show me this by region instead of by channel" — they have to request a custom analysis, wait for it, and receive a static answer rather than interactive data.

What we build

Automated reporting dashboard where the data pipelines pull fresh data, calculations run automatically, and reports are available in real time or delivered on schedule

Data source connections

API integrations to the data sources the business uses: Stripe (revenue), HubSpot (pipeline), Google Analytics (traffic), Facebook Ads Manager (ad spend), or custom database. Data pulled on schedule into a reporting database.

Dashboard with live calculations

Real-time dashboard showing the business metrics that matter: MRR, pipeline, conversion rates, CAC, churn. Charts built with Recharts or Chart.js. Data refreshed on configurable intervals.

Scheduled report delivery

Automated weekly or monthly PDF report generation (via Puppeteer or a headless browser) with the dashboard snapshot. Delivered via Resend email to the distribution list on schedule — without human involvement.

Role-based access

Dashboard access controlled by role. Executive view, manager view, and department-specific views showing only the metrics relevant to each audience.

Export capability

CSV and PDF export from the dashboard for ad-hoc sharing and archiving.

Engagement

One honest number to start.

Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.

Tier · Web ApplicationFixed scope
From$25,000

Automated reporting dashboard where the data pipelines pull fresh data, calculations run automatically, and reports are available in real time or delivered on schedule

99% client retention across 40+ projects
Process

Three steps, every time.

The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.

01Week 0

Brief & discovery.

We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.

02Weeks 1–N

Build & ship.

Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.

03Post-launch

Warranty & retainer.

30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.

Why fixed-price

Why Fixed-Price Matters Here

Reporting automation scope is defined by the data sources and the reports currently being produced manually. Fixed price after the reporting audit.

FAQ

Questions, answered.

Multi-source reporting is the common case. The data pipeline pulls from each source independently, transforms each into a common data model, and stores in the reporting database. The dashboard queries the reporting database — not the live source systems.

Google Sheets has an API. The data pipeline can update a Google Sheet as well as the dashboard — so stakeholders who prefer spreadsheets get the same automated data in the format they prefer.

Dashboard with 2–3 data source integrations: from $18k. Full multi-source reporting platform: from $30k. Fixed-price.

Next step

Tell Ryel about your project.

Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.