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Market/Categories/Developer & AI Platform/Refact.ai

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

Refact.ai

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

Developer & AI Platformrefact.aiTracked since 2026-08-194 discovery sources
7.7KBacklinks
974Referring domains
28Domain authority
+11.3%Referring domains · 90 days

Authority & distribution

How strong is Refact.ai’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

7.7KCurrent snapshot

Referring domains

974Current snapshot

Authority

28Domain authority · category median 22

90-day move

+11.3%Referring domains, last 90 days
At 28, Refact.ai sits above 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 Refact.ai ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Refact.ai 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 Refact.ai is selling.

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

“Refact.ai”

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

Developer & AI PlatformSeen 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://refact.ai/?ref=futuretools.io

Observed across 4 discovery sources.

Research questions

What the evidence answers about Refact.ai.

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 Refact.ai solve for developers?

Refact.ai is an autonomous AI coding agent that automates software development tasks like coding, debugging, and testing. It works directly within your IDE, understanding your codebase context to help complete tasks step-by-step with reasoning.

What features and surfaces does Refact.ai offer?

It offers three main features: an autonomous AI Agent for end-to-end tasks, in-IDE chat for natural language interaction, and accurate autocompletions powered by the Qwen2.5-Coder model. It integrates with tools like GitHub and CI/CD pipelines.

How is Refact.ai deployed and what control does it offer over data?

Refact.ai is an open-source, self-hosted solution. It can be deployed on-premise, which allows users to stay in full control of their data.

What is Refact.ai used for and in what situations?

It is used as a personalized AI programming partner for software development within an IDE. It can autonomously plan, execute, and deploy coding tasks, provide in-IDE chat for edits and debugging, and generate accurate code autocompletions.

Who is Refact.ai for?

Refact.ai is for developers and development teams. It is trusted by thousands of developers and offers both free individual use and enterprise solutions.

What is Refact.ai?

Refact.ai is an open-source, autonomous AI coding agent that integrates into your IDE to automate software development. It adapts to your workflow, connects with tools like GitHub, and can be self-hosted for full data control.

Behind the lock

Unlock full Refact.ai intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 4 of them do it, and the 4 pages 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