Software Alternatives & Startups

GitHub Copilot VS Cluely

Compare GitHub Copilot VS Cluely and see what are their differences

GitHub Copilot

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

Rating
5.0 · 1 review
Cluely

Undetectable AI notetaker and meeting assistant with live notes and instant answers during calls. Unlike Otter or Granola, Cluely helps you during meetings, not just after.

Rating
0 reviews

Which is more popular?

Based on our record, GitHub Copilot seems to be more popular. It has been mentioned 389 times since March 2021.

social mentions
389 vs 0
Developer Tools popularity
100% vs 0%
alternatives listed
240+ vs 34

Base details

Website, pricing, platforms and company facts side by side.

GitHub Copilot
Cluely
Website github.com cluely.com
Pricing —
Company Startup from the United States —
Listed in

About GitHub Copilot and Cluely

In their own words, as submitted to SaaSHub.

GitHub Copilot
Cluely

Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.

Read more about GitHub Copilot

No description of Cluely yet.

Features and specs

What each product offers, as listed by its team.

GitHub Copilot 5 features
Cluely 5 features
  • Productivity Boost
    GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
  • Learning Tool
    For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
  • Support for Multiple Languages
    Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
  • Context-Aware Suggestions
    Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
  • Integration with GitHub
    Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.

Possible disadvantages

  • Code Quality Concerns
    The quality of the code generated by Copilot may vary, and it might introduce suboptimal code or practices that could lead to maintenance challenges.
  • Security Risks
    Copilot might suggest insecure code patterns or snippets, potentially introducing vulnerabilities into the project if not carefully reviewed by the developer.
  • Dependence on AI
    Over-reliance on Copilot's suggestions can lead to a lack of deep understanding of the code, which may hinder a developer's growth and problem-solving skills.
  • Licensing and Code Reuse Issues
    There are concerns about the legality and ethics of using AI-generated code snippets that might be derived from copyrighted sources, which can lead to licensing issues.
  • Limited Customizability
    Copilot may not always align with specific coding standards or preferences of a development team, and the ability to customize its behavior to enforce such standards is limited.
  • Real-time assistance
    Cluely provides real-time AI-powered suggestions and information during calls, meetings, or interviews, helping users respond more effectively in the moment.
  • Discreet operation
    The tool is designed to run unobtrusively in the background, overlaying information without disrupting the flow of a conversation or being easily detected by others on the call.
  • Broad use case applicability
    It can be used across multiple scenarios such as sales calls, job interviews, and meetings, making it versatile for professionals in different fields.
  • Reduces cognitive load
    By surfacing relevant information and talking points automatically, it can reduce the mental effort required to recall facts or craft responses on the fly.
  • Potential productivity boost
    For users who struggle with quick recall or articulate responses under pressure, the tool may enhance performance and confidence in high-stakes conversations.

Possible disadvantages

  • Ethical concerns
    Using AI assistance covertly during interviews, sales calls, or negotiations raises questions about honesty and transparency, especially if the other party is unaware of its use.
  • Potential misuse in interviews
    The tool has been specifically marketed for use in job interviews, which could be seen as a form of cheating and may violate the terms of interview processes or employer trust.
  • Dependency risk
    Regular reliance on AI-generated responses may hinder the development of the user's own communication skills, critical thinking, and ability to think on their feet.
  • Detection and trust issues
    If discovered, the use of such a tool during professional interactions could damage trust and credibility with employers, clients, or colleagues.
  • Privacy and data concerns
    Since the tool listens to or processes conversation content in real time, there may be concerns about data security, consent, and how conversation data is stored or used.

Analysis

An editorial look at what each product does well and who it suits.

GitHub Copilot
Cluely

Overall verdict

  • Overall, GitHub Copilot is a beneficial tool for many developers, especially those looking to increase their productivity and experiment with new coding styles. It can be seen as an intelligent coding assistant that complements a developer's workflow rather than replaces it.

Why this product is good

  • GitHub Copilot is considered good by many because it provides AI-assisted code completion and suggestions, which can significantly speed up coding tasks and improve productivity. It leverages OpenAI's advanced language models to offer context-aware snippets and solutions that can help developers write code more efficiently, reduce errors, and explore new coding approaches.

Recommended for

  • Software developers seeking to increase productivity
  • Beginner programmers looking for contextual code suggestions
  • Experienced developers interested in exploring and discovering alternative coding solutions
  • Teams aiming to standardize code quality and reduce time spent on routine coding tasks

No analysis of Cluely yet.

Videos

Walkthroughs and reviews on video.

GitHub Copilot 5 videos + Add
Cluely 0 videos + Add

Game over… GitHub Copilot X announced

More videos

  • - The New GitHub Copilot X Powered by GPT-4 is Here!
  • - GitHub Copilot X -- AI Programming Gets Better... and Scary.
  • - GitHub Copilot Review 2023: I Love It, But It's Not For Everyone
  • - Is Github Copilot Worth Paying For??

No Cluely videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GitHub Copilot
Cluely
100% 100%
0% 0%
97% 97%
AI
3% 3%
0% 0%
100% 100%
100% 100%
0% 0%

User comments

Share your experience with using GitHub Copilot and Cluely. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

GitHub Copilot 5.0 · 1 review
Cluely no reviews yet

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We have no reviews of Cluely yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GitHub Copilot 389 mentions
Cluely 0 mentions
  • Every $20 AI subscription costs about $100 to serve. The bill is coming.
    I build Browy, an open-source AI agent that lives In a Chrome side panel and a DevTools REPL. It drives the real browser Tabs you have open. The thing it does not have is its own subscription. It uses your existing GitHub Copilot... - Source: dev.to / 5 days ago
  • Test smarter with Snagly: 30 open-source QA skills for AI coding agents
    Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you... - Source: dev.to / about 2 months ago
  • I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.
    Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's... - Source: dev.to / 3 months ago

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Tracking Cluely since Sep 2026.

Alternatives to GitHub Copilot and Cluely

When comparing GitHub Copilot and Cluely, you can also consider the following products.