Dashboard

Make your AI-built dashboard fast, secure, and reliable

Code review and production services for analytics dashboards, admin panels, and data visualization apps built with AI coding tools.

Dashboards aggregate and display your most important business data — revenue metrics, user analytics, operational KPIs. They need to load fast, display accurate numbers, and restrict access to authorized users. AI tools build visually impressive charts quickly, but the underlying data queries are often slow, insecure, or return incorrect aggregations.

Dashboard challenges we solve

The most common issues in AI-built dashboard projects.

Query performance at scale

AI-generated dashboards run raw database queries on every page load. With thousands of rows, these queries take seconds or minutes instead of milliseconds. You need materialized views, pre-aggregated data, proper indexing, and caching to keep dashboards responsive.

Data accuracy

A dashboard that shows wrong numbers is worse than no dashboard at all. AI tools generate SQL aggregations that look correct but miss edge cases — timezone handling, duplicate records, null values, and off-by-one errors in date ranges produce silently incorrect metrics.

Access control and data exposure

Dashboards display sensitive business data. AI tools often skip role-based access, meaning anyone with the URL can see revenue figures, customer data, or operational metrics. Different team members need different data visibility levels.

Real-time vs. cached data

Some metrics need to be live (active users, system status), while others can be cached (monthly revenue, historical trends). AI tools either make everything real-time (slow, expensive) or everything static (stale). You need a thoughtful caching strategy.

Chart and visualization bugs

AI-generated charts often have subtle issues — wrong axis scales, misleading truncated Y-axes, color schemes that are indistinguishable for colorblind users, and tooltips that show raw data instead of formatted values. These issues erode trust in the data.

Filter and drill-down interactions

Users need to filter by date range, segment, region, or other dimensions and drill into the details behind any number. AI tools build static charts but not the interactive filtering and drill-down that makes dashboards actually useful for decision-making.

Export and reporting

Stakeholders need to export data to CSV, generate PDF reports, or schedule automated email summaries. AI tools rarely implement data export, and when they do, the output format often breaks in Excel or includes raw technical field names.

What we review

Our dashboard audit covers these critical areas.

Query performance — response times under 500ms for all dashboard views

Data accuracy — aggregation logic, timezone handling, null values

Access control — role-based permissions enforced on API and database level

Caching strategy — appropriate refresh intervals for each metric type

Visualization correctness — accurate axes, accessible color schemes

Filter functionality — date ranges, segments, and drill-down interactions

Export capability — CSV, PDF, and scheduled reports

Mobile responsiveness — usable dashboard layout on tablets and phones

Error states — clear messages when data is unavailable or queries fail

Database load — queries don't impact production application performance

We work with dashboard apps built with

Common dashboard tech stacks

Start with a self-serve audit

Get a professional review of your dashboard at a fixed price.

Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 checks
  • SSL/TLS analysis
  • Security headers
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerabilities
  • Code quality review
  • Dependency audit
  • AI pattern analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

1

Tell us about your app

Share your project details and what you need help with.

2

Get a clear plan

We respond in 24 hours with scope, timeline, and cost.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

My dashboard takes 10+ seconds to load. Can that be fixed?

Almost always. The most common causes are unindexed database queries, aggregating raw data on every request instead of using pre-computed summaries, and loading all data upfront instead of paginating. We typically reduce dashboard load times by 80-95% through query optimization and caching.

Should I use a dedicated analytics database?

If your dashboard queries are slowing down your production database, yes. A read replica or a separate analytics store (like a materialized view refreshed periodically) keeps your dashboard fast without impacting your users. For most early-stage apps, optimized queries and caching are sufficient.

Can I connect my dashboard to multiple data sources?

Yes — dashboards commonly pull from your production database, third-party APIs (Stripe for revenue, Google Analytics for traffic), and internal services. The key is normalizing the data and handling failures gracefully when one source is unavailable.

Building a dashboard?

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App