Data as of Aug 25, 2026 · Based on 2,859 AI responses · See how Parse measures this
Technical Recruiting Assessment Software
Parse
https://parse.gl
HackerRank has surged to become the dominant name in technical recruiting assessments, cementing its leadership in a market shifting away from traditional sourcing tools. AI responses now clearly distinguish between platforms for large-scale automated screening, led by , and those for live collaborative interviews, where other brands excel.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Now the market leader, recommended for high-volume, automated screening at scale. | 43% | |
| 2 | A top contender known for realistic, job-simulation tasks instead of abstract puzzles. | 36% | |
| 3 | The go-to platform for live, collaborative pair-programming interviews in a realistic IDE. | 32% | |
| 4 | Consistently cited alongside top platforms for its focus on real-world coding tasks. | 22% | |
| 5 | The top-recommended platform for candidates practicing for technical interviews at major companies. | 15% | |
| 6 | 15% | ||
| 7 | 13% | ||
| 8 | A significant gainer in visibility, often cited as DevSkiller for its real-life testing. | 12% | |
| 9 | 11% | ||
| 10 | No longer a top-ranked leader, but still cited for deep technical sourcing. | 10% | |
| 11 | A primary choice for mock technical interviews with engineers from FAANG companies. | 10% | |
| 12 | Consistently framed as the most important signal source for evaluating engineering candidates. | 10% | |
| 13 | 9% | ||
| 14 | 9% | ||
| 15 | Fallen in rankings, but noted for aggregating candidate data from multiple online sources. | 9% | |
| 16 | 9% | ||
| 17 | 9% | ||
| 18 | 8% | ||
| 19 | 8% | ||
| 20 | 8% | ||
| 21 | 8% | ||
| 22 | 7% | ||
| 23 | 7% | ||
| 24 | 7% | ||
| 25 | 7% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
coderpad.io is the page AI reaches for most here, cited in 29% of analyzed answers.
Rose from rank #22 in Oct 2025 to #1 by Mar 2026.
“An option for coding tests” → “A leader for high-volume, automated screening”
Jumped from rank #8 in Oct 2025 to #2 by Mar 2026.
Fell from rank #1 in Oct 2025 to #8 by Mar 2026.
Dropped from rank #2 in Oct 2025 to #10 by Mar 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 48% | 43% | ||
| 39% | 38% | ||
| 37% | 33% | ||
| 25% | 17% | ||
| 15% | 12% |
The two models disagree most about Codeforces (ChatGPT #10, Google #25).
HackerRank has surged to become the dominant name in technical recruiting assessments, cementing its leadership in a market shifting away from traditional sourcing tools. AI responses now clearly distinguish between platforms for large-scale automated screening, led by HackerRank, and those for live collaborative interviews, where other brands excel.
Across 2,859 AI responses, HackerRank is mentioned most, named in 43% of them, followed by CodeSignal (36%) and CoderPad (32%).
Parse measures each brand's mention rate — the share of answers naming it — across 2,859 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI responses consistently identify HackerRank and
CoderPad as the two main players for this query, framing them for different use cases. Since late 2025, answers clearly position
HackerRank for automated, large-scale screening and
for live, collaborative interviews. and are almost always mentioned as top alternatives.
AI responses consistently identify HackerRank and
CoderPad as the two main players for this query, framing them for different use cases. Since late 2025, answers clearly position
HackerRank for automated, large-scale screening and for live, collaborative interviews. and are almost always mentioned as top alternatives.
AI assistants consistently recommend using GitHub's built-in advanced search with filters for language and location. Throughout the period, responses emphasize analyzing profiles for real code contributions rather than just profile text. Later responses, from January 2026 onward, more frequently mention sourcing platforms like and as tools to automate this process.
Brands mentioned
I'm a recruiter trying to source candidates on GitHub. What's the best way to do that?
AI assistants consistently recommend using GitHub's built-in advanced search with filters for language and location. Throughout the period, responses emphasize analyzing profiles for real code contributions rather than just profile text. Later responses, from January 2026 onward, more frequently mention sourcing platforms like
SeekOut and
hireEZ as tools to automate this process.
The market map
Recommended by need