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Market/Categories/Developer & AI Platform/Coderbuds

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

Coderbudscoderbuds.com

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

Developer & AI Platformcoderbuds.comTracked since 2026-08-191 discovery source
1.1KBacklinks
174Referring domains
22Domain authority
-4.5%Referring domains · 90 days

Authority & distribution

How strong is Coderbuds’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

1.1KCurrent snapshot

Referring domains

174Current snapshot

Authority

22Domain authority · category median 22

90-day move

-4.5%Referring domains, last 90 days
At 22, Coderbuds 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 Coderbuds ranks

Measured · Pro

Measured for this product: global rank.

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AI referral visibility

Which AI assistants are already sending Coderbuds traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Coderbuds is selling.

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

“Coderbuds”

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 → 2026-08-19Coverage 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://coderbuds.com/

Observed across 1 discovery source.

Research questions

What the evidence answers about Coderbuds.

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 Coderbuds do and what problem does it solve?

Coderbuds analyzes pull requests, reviews, and deployments to provide engineering teams with delivery insights. It helps teams understand how they deliver, identify bottlenecks, and turn those insights into practical guidance for engineers and coding agents, aiming to improve delivery speed and quality.

What features, integrations, or surfaces does Coderbuds offer?

It offers a dashboard with delivery metrics (like DORA metrics), insights on pull requests, and a team health view. It integrates with tools like GitHub, Bitbucket, Jira, Linear, Slack, and Teams. It also provides context and guidance that can be used within coding agents such as Claude Code, Cursor, Codex, Copilot, and VS Code.

What is Coderbuds used for and in what situations?

It is used by engineering teams to monitor and improve their software delivery process. It is particularly useful for engineering managers and leads to explore delivery, collaboration, and team health metrics, and for engineers to get useful context before code reviews to prevent rework.

Who is Coderbuds for?

Coderbuds is for engineering teams, including engineering managers, leads, and individual engineers. The platform offers different views and guidance tailored to both leadership (to see what's healthy and what needs attention) and engineers (to turn team insights into practical work).

What is Coderbuds?

Coderbuds is a developer tool that uses AI to analyze pull requests and provide engineering insights, helping teams understand and improve how they deliver software.

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 Coderbuds 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