This page breaks down ThoughtCoders ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand ThoughtCoders’s overall reputation. This data-driven overview will show you exactly how ThoughtCoders is rated - including how it compares to competitors.

ThoughtCoders's Overall Rating Summary

  • Average Rating:5.0/5
  • Total Reviews:16 reviews
  • Sources:G2, Facebook
  • Last updated:September 1, 2025

ThoughtCoders Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
5/5
11+ reviews01.09.25
Facebook logoFacebook
5/5
5+ reviews05.08.25

What is ThoughtCoders?

ThoughtCoders is an independent software testing company offering services such as Quality Assurance, API Automation Testing, Test Automation, and Remote QA Teams. They provide training in Katalon Studio, Manual Testing, Selenium with Java, API Testing, and Core Java, and have delivered over 200 projects with a 90% automation rate, reducing release cycles by 50%. Their services include end-to-end software testing, performance testing, and offshore QA team solutions, with a commitment to high-quality applications and client satisfaction.

🤔 ThoughtCoders vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is ThoughtCoders?

According to G2 review site ThoughtCoders holds rating of 5/5, highlights excellent reputation and user approval as of September 2025.

How many stars is ThoughtCoders rated?

ThoughtCoders has an average star rating of 5.0 out of 5 stars based on average of 16 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from ThoughtCoders public reviews pages on platforms: G2, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for ThoughtCoders is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.