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

OpenInterpreteropeninterpreter.com

An open-source coding agent built for low-cost and open-weight models.

Developer & AI Platformopeninterpreter.comTracked since 2026-08-191 discovery source
16.5KBacklinks
977Referring domains
27Domain authority
+20.5%Referring domains · 90 days

Authority & distribution

How strong is OpenInterpreter’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

16.5KCurrent snapshot

Referring domains

977Current snapshot

Authority

27Domain authority · category median 22

90-day move

+20.5%Referring domains, last 90 days
At 27, OpenInterpreter 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.

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Traffic & engagement

Where OpenInterpreter 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 OpenInterpreter 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 OpenInterpreter is selling.

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

“OpenInterpreter”

An open-source coding agent built for low-cost and open-weight models.

Developer & AI PlatformSeen 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://www.openinterpreter.com/

Observed across 1 discovery source.

Research questions

What the evidence answers about OpenInterpreter.

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 OpenInterpreter solve?

OpenInterpreter is an open-source coding agent built for low-cost and open-weight models. It provides a specialized tool for software development and coding assistance, targeting the use of open models for these tasks.

Who is the primary audience for OpenInterpreter?

The primary audience for OpenInterpreter is developers and individuals involved in software development. It is categorized as a 'Developer & AI Platform' tool, specifically built for open models.

What does OpenInterpreter offer in terms of features or platforms?

OpenInterpreter offers a coding agent platform and an API. The evidence indicates it is a 'platform_api' and has a 'Freemium' tag, suggesting it offers a free tier with additional paid features.

What is OpenInterpreter used for and in what situations?

OpenInterpreter is used as a coding agent for software development and coding assistance. It is designed to work with open models, making it suitable for situations where developers want to leverage open-weight or low-cost models for coding tasks.

What is OpenInterpreter?

OpenInterpreter is an open-source coding agent designed for open models. It is a specialized tool categorized under 'Developer & AI Platform' for software development and coding assistance.

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 OpenInterpreter intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 3 of them do it, and the 5 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