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

Kanwaskanwas.ai

Centralize product knowledge, then auto-draft strategy, PRDs.

Documents & Meetingskanwas.aiTracked since 2026-08-191 discovery source
7.3KBacklinks
84Referring domains
18Domain authority
+171%Referring domains · 90 days

Authority & distribution

How strong is Kanwas’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

7.3KCurrent snapshot

Referring domains

84Current snapshot

Authority

18Domain authority · category median 22

90-day move

+171%Referring domains, last 90 days
At 18, Kanwas sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 115 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Kanwas 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 Kanwas traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Kanwas is selling.

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

“Kanwas”

Centralize product knowledge, then auto-draft strategy, PRDs.

Documents & MeetingsSeen 2026-08-19 → 2026-08-19Coverage 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://kanwas.ai/

Observed across 1 discovery source.

Research questions

What the evidence answers about Kanwas.

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 Kanwas do and what problem does it solve?

Kanwas centralizes product knowledge into a shared context board to help teams auto-draft strategy and PRDs. It solves the problem of juggling separate tools like Claude chats, local folders, Obsidian, VS Code, Git, and documents by providing one workspace.

What features or core components does Kanwas offer?

Kanwas offers a canvas for real work where code, docs, tasks, embeds, and iframes are consolidated. It also features a shared context layer for agents and a system for compounding knowledge to improve future deliverables.

How is Kanwas priced or packaged?

The evidence does not specify pricing or packaging details. The homepage mentions starting 'in seconds' with no download, but no pricing plans are listed.

Who is Kanwas designed for?

Kanwas is designed for product teams. The homepage explicitly states it is a 'shared context board for teams and agents' and is 'trusted by product teams.'

What is Kanwas?

Kanwas is a shared context board for product teams to centralize knowledge and auto-draft strategy and PRDs. It functions as a collaborative workspace where teams and AI agents can create, edit, and share product context.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Kanwas intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 115.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • 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