Dashboard guide
Build a dashboard with AI
Real-time charts, KPIs, role-based access, downloadable reports. The dashboard tax - auth, layouts, chart libraries, data fetching - generated and wired up.
01 / What you can build
Real projects, not toy examples.
People are shipping these dashboards on Webtwizz this quarter. Each one is a complete app: real auth, real data, real money flowing through Stripe.
Customer-facing analytics
Show your SaaS users their own usage, billing history, and metrics. Multi-tenant from day one.
Internal KPI dashboards
Live MRR, signups, churn, support volume. The "single pane of glass" for your business.
Real-time ops dashboards
Queue depth, error rates, active sessions. Updated via Supabase realtime or polling.
Data exploration tools
Filter, segment, drill down. For internal data teams or paying customers.
02 / The build
From a sentence to a deployed app.
5 ordered steps. No config files, no devops, no SQL migrations to write by hand.
STEP 01
Define what you want to see
Tell Webtwizz "A dashboard showing daily signups, MRR, and churn - with a date range picker and a chart for each metric." Webtwizz scaffolds the layout, charts, and queries.
STEP 02
Connect your data
Supabase for your app's own data. Or wire up an external API (Stripe, PostHog, your warehouse) through a Next.js API route. Webtwizz handles both patterns.
STEP 03
Add filters and date ranges
Use AI to add common filters - date range, segment, time bucket. The state syncs to URL params automatically so you can share filtered views.
STEP 04
Add real-time updates if needed
For live dashboards, Supabase Realtime pushes updates as data changes. For polling-based, Webtwizz uses SWR with revalidation. Both patterns scaffolded automatically.
STEP 05
Polish layouts visually
Dashboards are visual products. Use the visual editor for spacing, card sizing, color schemes, and chart styling. Way faster than prompting for every tweak.
03 / Why it works
The parts other AI builders skip.
Anyone can scaffold a CRUD app. The reason these projects ship is the integration plumbing other builders leave for you.
Recharts + Chart.js + ApexCharts ready
Three battle-tested chart libraries pre-configured. Use whichever fits your data. Line, bar, area, donut, sankey - all work out of the box.
Real Next.js, not a black box
Dashboards have a way of becoming critical. The generated code is standard Next.js + Tailwind, fully visible and editable in the built-in code editor.
Multi-tenant or single-tenant
Customer-facing dashboards (multi-tenant, RLS-secured) and internal dashboards (single-tenant, role-based) - both patterns scaffolded.
Mobile-responsive by default
Dashboards look bad on mobile by default elsewhere. Webtwizz uses Tailwind responsive classes so charts and tables work on phones.
04 / The stack
Wired up. One click each.
Supabase, Stripe, the email layer, the analytics layer. OAuth, env vars, webhooks, scaffolded routes, all generated correctly the first time.
Supabase
Data source, auth, realtime updates. RLS for multi-tenant safety.
Stripe
For revenue dashboards - pull MRR, churn, customer counts.
PostHog
Behavioral analytics - signup funnel, feature usage, retention curves.
OpenAI
AI summaries of dashboard data ("explain this spike"). Optional.
05 / Questions
The honest answers.
The questions founders actually ask before they commit to a stack.
Which chart library does Webtwizz use?
Recharts is the default - it's React-native and Tailwind-friendly. Chart.js and ApexCharts are also pre-configured if you need more chart types or higher performance.
Can it handle real-time data?
Yes. For Supabase data, real-time updates use Supabase's WebSocket subscriptions. For external sources, polling with SWR is the default - Webtwizz handles both.
How do I export reports as PDF or CSV?
CSV export is a one-line addition (Webtwizz scaffolds it on request). PDF requires a server-side render (we use react-pdf or Puppeteer) - also scaffoldable, slightly more setup.
Can my customers see only their own data?
Yes - Supabase Row-Level Security (RLS) policies handle this at the database layer. Webtwizz scaffolds the policies when you describe a multi-tenant dashboard.
How does this compare to Metabase or Looker?
Different tools. Metabase/Looker are BI tools - connect to a warehouse, drag-and-drop charts, share with non-technical users. Webtwizz is for production-facing dashboards (customer-facing or internal apps) where you need real auth, real code, and real customization.
Build it visually. Ship it today.
Webtwizz is the AI app builder that lets you edit AI-generated code visually, and ship full-stack apps with auth, databases, and payments.
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