Codei is an AI-powered platform that helps software engineers prepare for technical interviews through personalized question generation, application tracking, and code evaluation.
Learning & Educationcodei.aiTracked since 2026-08-211 discovery source
885Backlinks
89Referring domains
22Domain authority
-1.1%Referring domains · 90 days
Authority & distribution
How strong is Codei’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
885Current snapshot
Referring domains
89Current snapshot
Authority
22Domain authority · category median 21
90-day move
-1.1%Referring domains, last 90 days
At 22, Codei sits above the 21 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.
Traffic makes more sense when you can connect it to the actual product promise.
“Codei”
Codei is an AI-powered platform that helps software engineers prepare for technical interviews through personalized question generation, application tracking, and code evaluation.
Learning & EducationSeen 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.codei.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about Codei.
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 Codei solve for software engineers?
Codei solves the problem of technical interview preparation for software engineers. It provides personalized question generation, application tracking, and code evaluation to help users practice and improve. This is stated in the product's core description.
Who is the target audience for Codei?
The target audience for Codei is software engineers. The platform is specifically built to help this group prepare for technical interviews, as indicated in the product's description and homepage text.
What features or services does Codei offer?
Codei offers three core features: personalized question generation, application tracking, and code evaluation. These are the primary capabilities highlighted in its product description to assist with interview preparation.
What is Codei used for and in what situations?
Codei is used for preparing for technical software engineering interviews. The platform is designed for situations where a developer is actively practicing coding questions, tracking job applications, and evaluating their code to improve interview performance.
What is Codei?
Codei is an AI-powered platform designed to help software engineers prepare for technical interviews. It combines personalized practice questions, application tracking, and code evaluation tools.
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 Codei 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