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Market/Categories/Developer & AI Platform/Weco

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

Wecoweco.ai

Weco utilizes an AI research engineer, AIDE, to automate code optimization and research through benchmark-driven experimentation, delivering measurable performance improvements.

Developer & AI Platformweco.aiTracked since 2026-08-211 discovery source
799Backlinks
248Referring domains
19Domain authority
+26.2%Referring domains · 90 days

Authority & distribution

How strong is Weco’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

799Current snapshot

Referring domains

248Current snapshot

Authority

19Domain authority · category median 22

90-day move

+26.2%Referring domains, last 90 days
At 19, Weco 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 Weco 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 Weco 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 Weco is selling.

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

“Weco”

Weco utilizes an AI research engineer, AIDE, to automate code optimization and research through benchmark-driven experimentation, delivering measurable performance improvements.

Developer & AI PlatformSeen 2026-08-21 → 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.weco.ai

Observed across 1 discovery source.

Research questions

What the evidence answers about Weco.

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 Weco solve?

Weco solves the problem of manual code optimization and research by automating these processes. It uses an AI research engineer named AIDE to conduct benchmark-driven experimentation and deliver measurable performance improvements. The product's description states it automates code optimization and research.

What features does Weco offer?

Weco offers an AI research engineer named AIDE that automates code optimization and research via benchmark-driven experimentation. Its homepage mentions specific projects like AIDE² for recursive self-improvement and SpecBench for evaluating test quality, indicating a focus on automated research and performance tuning.

What is Weco used for?

Weco is used for automating code optimization and research through an AI agent. It performs benchmark-driven experimentation to improve software performance. The homepage highlights research projects like AIDE² and SpecBench that demonstrate its use in automated code improvement and testing.

What is Weco?

Weco is an AI-powered research and product lab that builds recursively self-improving AI systems. Its core offering is an AI research engineer named AIDE designed to automate code optimization and research. The product is categorized as a Developer & AI Platform tool.

4 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 Weco intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • 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