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

Keringitkeringit.ai

Keringit review: compare features, pricing, use cases, access model, and alternatives for this Code Generation agent in 2026. Type it. Launch it. Own it.

Developer & AI Platformkeringit.aiTracked since 2026-08-211 discovery source
132Backlinks
25Referring domains
14Domain authority
+40.0%Referring domains · 90 days

Authority & distribution

How strong is Keringit’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

132Current snapshot

Referring domains

25Current snapshot

Authority

14Domain authority · category median 22

90-day move

+40.0%Referring domains, last 90 days
At 14, Keringit 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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AI referral visibility

Which AI assistants are already sending Keringit traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Keringit is selling.

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

“Keringit”

Keringit review: compare features, pricing, use cases, access model, and alternatives for this Code Generation agent in 2026. Type it. Launch it. Own it.

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://keringit.ai?utm_source=aiagentsdirectory&utm_medium=affiliate&utm_campaign=aiagentsdirectory

Observed across 1 discovery source.

Research questions

What the evidence answers about Keringit.

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 the Keringit platform do, and what problem does it solve?

Keringit is an AI-powered platform that allows users to generate and deploy Web3 decentralized applications (DApps) from natural language descriptions. It solves the problem of complex development by enabling users to describe an idea and have the AI agents produce, deploy, and launch the necessary code and tokens.

Who is the target audience for Keringit?

Keringit is targeted at developers, entrepreneurs, and creators in the Web3 space, particularly those looking to build and launch DApps or crypto projects quickly using AI assistance.

What features, tools, or templates does Keringit offer?

Keringit offers an AI engine that converts natural language ideas into launched DApps, including code generation, deployment, and token launch capabilities. It provides popular templates for projects like NFT Art Communities and Memecoins, and a waitlist for an upcoming v2 with additional features.

What is Keringit used for, and in what situations would someone use it?

Keringit is used for creating Web3 projects like NFT communities, Memecoins, DeFi protocols (bridges, prediction markets, DEXs, lending, yield aggregators), and landing pages with wallet integration. It is used in situations where a user wants to quickly ship a crypto-related idea or application without manual coding.

What is Keringit?

Keringit is a Developer & AI Platform that provides an AI-powered engine for turning natural language ideas into launched Web3 DApps, including code generation, deployment, and token launch.

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 Keringit 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