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Market/Categories/Documents & Meetings/myNeutron

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

myNeutronmyneutron.ai

No product description has been published for this domain yet. Everything below is measured directly.

Documents & Meetingsmyneutron.aiTracked since 2026-08-191 discovery source
550Backlinks
219Referring domains
16Domain authority
+55.9%Referring domains · 90 days

Authority & distribution

How strong is myNeutron’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

550Current snapshot

Referring domains

219Current snapshot

Authority

16Domain authority · category median 22

90-day move

+55.9%Referring domains, last 90 days
At 16, myNeutron 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.

See the trajectoryOpen the full profile

Traffic & engagement

Where myNeutron 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 myNeutron traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What myNeutron is selling.

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

“myNeutron”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

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://myneutron.ai/?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about myNeutron.

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

What problem does myNeutron solve?

myNeutron solves the problem of 'AI amnesia' and the 'start from scratch' loop. It provides a persistent memory layer, allowing users to save files, notes, webpages, and AI chats into a personal knowledge base that can be searched and reused in any AI tool, preventing the loss of context and insights.

What features does myNeutron offer?

myNeutron offers features to save various content types (pages, files, notes, AI chats), auto-organize this content into 'Bundles', and make it searchable. It turns this organized content into actionable context that can be fed into any AI tool, functioning as an AI-ready workspace.

What is myNeutron used for?

myNeutron is used for creating a personal, searchable AI knowledge base. It is used to save and organize scattered context from pages, files, notes, and AI chats into reusable understanding, acting as a persistent workspace for any AI tool.

Who is myNeutron for?

myNeutron is for individuals who work with multiple AI tools and need to maintain context across conversations and projects. It targets users who experience the inefficiency of re-explaining things to AI assistants or searching across disconnected apps for previously created work.

What is myNeutron?

myNeutron is a personal AI knowledge base that captures files, documents, webpages, and AI chats, converting them into searchable, reusable insights for use in any AI tool.

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 myNeutron 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