Keyword Golden Ratio Calculator Tool

What it does

The KGR Calculator extension helps SEOs calculate a keyword's ranking potential using the Keyword Golden Ratio. A KGR below 0.25 is good to target. The tool's user-friendly design saves time, making keyword research efficient and data-driven.

• 
  RankTracker2022 · seotesting.com · ▲250

  Track up to 500 keyword rankings on Google for free

• 
  ASO Index-Powered by GPT-42023 · ▲94

  Take your app ranking to #1 with App Store optimization tool

• 
  CenseRanker2022 · ▲107

  A simple Google keyword rank tracker

• 
  KW Optimizer2023 · kwoptimizer.com · ▲64

  Increase website ranking, traffic, revenue & valuation

• 
  How Much To Rank2021 · howmuchtorank.com · ▲96

  Google ranking cost calculator

• 
  Golden Ratio Calculator2016 · ▲8

  Golden ratio calculator for designing beautiful websites.

• 
  WallHop – 12ft.io is gone, so I built a replacement▲287

  wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.

  Growth · 12d ago · wallhop.io

• 
  Prefer▲201

  The execution layer for AEO

  Growth · 24d ago · tryprefer.com

• 
  MakerMap▲197

  A living map of makers and what they’re building

  Growth · 27d ago · makermap.lol

• 
  Resend▲1,325

  An entire collection of pre-built components with a much faster development experience.

  Dev tools · 2023 · resend.com

• 
  STORI AI▲1,316

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

• 
  Kombai▲1,079

  A new AI model that you can prompt with UI designs

  AI · 2023 · kombai.com

• 
  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

• 
  Lottielab▲869

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

• 
  LLMs can generate valid JSON 100% of the time▲854

  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com