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Dashira
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#3085 Radar 46

Transforms data files into interactive, shareable dashboards with APIs.

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Product memo

Data analysts, teams, and consultants use Dashira to turn raw data files into interactive dashboards. It provides a rapid, no-code way to visualize structured data, generating dashboards with built-in REST and GraphQL APIs. This approach simplifies sharing and integration, serving both internal reporting and client presentations.

For who

Data analysts, teams, and consultants

Solves what

Transforms data files into interactive, shareable dashboards with APIs.

  • Data file upload
  • Auto-generated dashboards
  • REST & GraphQL APIs

In their own words

Turn Any Excel, CSV, JSON or Data File

Into an Interactive Dashboard

Upload your data. Get a beautiful, shareable dashboard with built-in APIs. Free to start.

CTA: Register

Commercial cues

Pricing snapshot hybrid with free tier

Model

hybrid

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A freemium tier allows new users to test the dashboard builder.
  • Tiered plans gate advanced features like API access and custom branding.

Operator context

Operating setup

Founded

Mar 2026

Platform

Web app

Audience

Creators

Payments

Stripe

Detected via TrustMRR

Social footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Solo Buildable
About Dashira Expand

Dashira provides data analysts, teams, and consultants with a no-code platform to quickly visualize structured data. It accepts common file types like CSV, Excel, and JSON, generating interactive dashboards that are ready for sharing.

A key differentiator is the inclusion of built-in REST and GraphQL APIs, which simplifies data integration and distribution. This makes Dashira a practical choice for both internal reporting and client-facing presentations, allowing users to focus on insights rather than development effort.

The product’s positioning targets users who need rapid deployment and flexible sharing options for their data visualizations.