Your dashboard doesn't need more charts. It needs to tell you what to look at.
KPIs that update themselves via Supabase realtime, live sparklines, and receivables aging to the second. But the real value: Claude reads the dashboard before you do, detects the anomaly, and tells you which data to highlight and why. Not a report — it's a copilot watching your business 24/7.
<0s
latency
from trigger to widget
0
F5
data arrives on its own
0%
accuracy
anomaly detected in time
0
industries
same engine running
UNDER THE HOOD
It doesn't flood you with charts. It tells you which one matters today.
A dashboard with 40 widgets is noise. Claude reads the full dashboard every time a data point changes, decides which metric is out of pattern, and explains why it highlighted it: threshold crossed, trend broken, or statistical anomaly.
Lead de ejemplo
Lead crudo entra
Projected 30-day cash flow dropped to $48K. Configured operating minimum is $60K. AP due this week: $71K. Confirmed collections today: $12K.
Hard threshold crossed
projected cash $48K < minimum $60K → immediate red flag
Outflow pressure
AP $71K due in 5 days → the gap is not theoretical, it's this week
Insufficient inflow
confirmed collections $12K don't close the $23K gap
Actionable move
there are 3 invoices +90 days overdue for $19K that cover almost all of it
Score
18/100
Veredicto de Claude
Alert to Finance. Highlight cash widget + open +90-day AR aging. Suggest prioritized collections.
WHAT AI DOES ON YOUR DASHBOARD
Five jobs your analyst shouldn't be doing manually anymore
The dashboard is no longer something you open and read. It reads the business to you, decides, and notifies you on its own — on every data point that changes.
realtime.stream(event)
Every change reaches the widget without reloading
Supabase realtime subscriptions on Postgres triggers. A sale, a payment, an order: the event travels from the core to the dashboard in under a second. Zero polling, zero F5.
› input
Postgres trigger: INSERT into sales · location=Downtown · amount=$240
› claude →
event received · t+0.4s
KPI sales_today: $18,420 → $18,660
sparkline: +1 point, recalculates moving average
Downtown location widget repaints on its own
→ no reload, no open tab needed
THE SAME ENGINE
One live dashboard. The metrics change, the judgment doesn't.
We don't build a different BI solution per industry. The same realtime + judgment engine reads the specific metrics of each business and decides what to highlight. This is already running in production.
Señales propias de la industria
PANEL EN VIVO
Los números cambian mientras los miras
Sin recargar, sin pestaña abierta. Cada KPI escucha su trigger Postgres vía Supabase realtime y repinta solo — con su sparkline recalculándose al vuelo.
Ventas hoy
$19,382
▲ 0.09%
Caja proyectada
$65,028
▲ 0.09%
Ticket promedio
$88.60
▲ 0.09%
Ocupación
77.3%
▲ 0.09%
STREAM DE EVENTOS
Cada cosa que pasa en tu core, entrando en vivo
Triggers Postgres emiten cada cambio a un canal de Supabase. Esto es el feed crudo: ventas, cobranzas, inventario, devoluciones — el latido del negocio, sin recargar.
0
eventos hoy
0/min
throughput
DETECCIÓN DE ANOMALÍAS
Ve el outlier antes que tú
Devoluciones por hora del SKU-2207. La banda normal es 0-5. Claude vigila la serie en vivo y, cuando algo se sale 4σ del patrón, lo resalta y dispara la alerta — con la causa raíz al lado.
Alerta crítica · devoluciones SKU-2207
14 devoluciones esta hora vs banda normal 0-5. 100% del pico es SKU-2207. Cambio de proveedor hace 7 días → causa raíz probable: calidad del nuevo lote. Impacto estimado: ~$2.1K/día + erosión de margen 31%.
CONNECTED STACK
Lives on top of your data. Doesn't migrate it.
The live dashboard connects to where your information already lives. If your core has a database or REST API, we listen to it in real time.
Supabase
Certified PartnerRealtime subscriptions + Postgres triggers: the heart of the live stream and low latency
Claude · Anthropic
Certified PartnerThe judgment: reads the dashboard, decides what to highlight, detects anomalies, and forecasts
Make / n8n
Ingest events from any legacy core or ERP without a modern API into the stream
Kommo CRM
Live pipeline and forecast KPIs on top of the commercial data you already have
Monday.com
Project progress and deliveries feeding executive widgets in real time
WhatsApp Business
When Claude detects a critical anomaly, the alert goes out through the channel where it finds you
Frequently asked questions about real-time dashboards
No. It's a visualization and judgment layer that connects to the data you already generate. If your core runs on Postgres/Supabase we listen natively via realtime; if it has a REST API, same; if it's legacy with no API, we ingest events via Make/n8n. We don't migrate your database — we observe it live.
Sub-second in the typical case. We use Supabase realtime subscriptions on Postgres triggers: when data changes in your core, the event travels to the widget in under a second. It's not polling every 5 minutes disguised as realtime — the data arrives on its own, without reloading the page.
A dashboard with 40 widgets is noise: nobody looks at all 40. Claude reads the full dashboard every time something changes and decides which of those metrics is out of pattern — threshold crossed, broken trend, or statistical anomaly — and highlights it with the reason why. The difference between having data and having data that speaks to you.
Yes. The same data stream is aggregated differently by role using Postgres RLS: the location manager sees their location, the CFO sees consolidated and aging, the rep sees their quota. Widgets are role-configurable — nobody sees what doesn't belong to them and nobody drowns in someone else's data.
Yes, without leaving the dashboard or generating a separate report. Click on total AR and you drill into aging buckets; click on +90 days and you see the list of invoices and customers. The drill-down is also real-time: if a payment comes in while you're looking, the number adjusts on its own.
You define the operational thresholds (minimum cash, SLA, normal returns band). On top of that, Claude distinguishes noise from signal: an isolated spike won't interrupt you; a sustained broken trend or a 4σ outlier with a probable root cause will. Every alert comes with its reasoning, not as a bare number.
Yes, it's one of the most common patterns. Location/company filtering via RLS, consolidated or per-location KPIs depending on the role, and multi-currency support with dual rates (official + parallel) when the business requires it. Receivables aging and cash flow respect the currency and scope of who's looking.
Setup + monthly fee + variable cost per volume of processed events (cents of USD). Implementation: 3-4 weeks to have live KPIs, aging, and the first intelligent alerts running on your data. Schedule a 30-min assessment and we'll give you the exact range.
A WORD FROM THE FOUNDER
“The problem was never a lack of reports. It was that the important data showed up on Monday, when it was already too late.”
I've seen companies with expensive BI tools still finding out about the cash problem on Friday afternoon, when the supplier was already calling. The report was perfect. The problem is that a report is a photo of yesterday, and businesses happen in real time.
Real-time Dashboards isn't about putting prettier charts on your data. It's about having the data change in front of you in under a second, and having something reading it all the time to tell you — before you do — "this went out of pattern, look here, here's why." The dashboard stops being a file you open and starts being a watchdog that alerts you.
If you find out about problems when they've already become urgent, schedule 30 minutes with me. Not with a sales rep. With me. I'll show you a live dashboard detecting an anomaly in real time, with the reasoning right next to it.
Gabriel Montiel
CEO · Boosty Digital
LET'S TALK
Ready for a dashboard that alerts you first?
Schedule a 30-minute assessment. We bring a live dashboard and show you Claude detecting an anomaly in real time on data like yours. No corporate deck, no theater.