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Market/Categories/Data & Analytics/Supadash

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Supadashsupadash.co

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Data & Analyticssupadash.coTracked since 2026-08-192 discovery sources
723Backlinks
103Referring domains
16Domain authority
+17.1%Referring domains · 90 days

Authority & distribution

How strong is Supadash’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

723Current snapshot

Referring domains

103Current snapshot

Authority

16Domain authority · category median 22

90-day move

+17.1%Referring domains, last 90 days
At 16, Supadash sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Supadash ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending Supadash traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Supadash is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Supadash”

Get a dashboard to visualize your data in seconds

Data & AnalyticsSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.supadash.co/

Observed across 2 discovery sources.

Research questions

What the evidence answers about Supadash.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Supadash do and what problem does it solve?

Supadash is an AI-powered tool that automatically generates charts and dashboards to visualize data from a connected database. It solves the problem of manually running SQL queries to track metrics by providing instant visualizations.

What features does Supadash offer?

Supadash offers features to connect a database, instantly get AI-generated charts, and visualize data and analytics. It automatically generates time series charts and other visualizations, with no code required.

How is Supadash priced or packaged?

Supadash offers simple pricing and includes a free trial. The product tags indicate a subscription price of $7 per month.

What is Supadash used for and in what situations?

Supadash is used to get a dashboard to visualize a database in seconds. It is used in situations where a user wants to stop periodically running SQL queries and instead get time series charts and other visualizations from their data automatically.

Who is Supadash for?

Supadash is for users who want to look at their data and analytics in a better way, specifically those who need to visualize database metrics without writing code. The homepage shows an example for a productivity SaaS.

What is Supadash?

Supadash is a data visualization tool that uses AI to automatically generate charts and dashboards from a connected database.

Behind the lock

Unlock full Supadash intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured