| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Technical hiring assessments | Talent acquisition | 17% | 1 of 71 | 22% | 64 | accepted challenger | ▼−12Since September 2026: 28% → 16%, −12 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Candidate assessment | Talent acquisition | 2% | 7 of 118 | 9% | 23 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Video interviewing | Talent acquisition | 0% | 16 of 66 | 0% | 3 | under 10 labels · led by Spark Hire at 50% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 48 of 127 | 0% | 2 | under 10 labels · led by Skills Base at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruiting CRM and sourcing | Talent acquisition | 0% | 78 of 111 | 0% | 1 | under 10 labels · led by Gem at 15% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Technical hiring assessm | 28% | 16% | ▼−12Since September 2026: 28% → 16%, −12 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 71, unchanged |
| Candidate assessment | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 7 of 118 |
| Video interviewing | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 19 → 16 of 66 |
| Skills intelligence | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 27 → 48 of 127 |
| Recruiting CRM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 78 of 111, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 1 | 4 | 1 | 8 |
| GPT-5.4 mini | 3 | 2 | 0 | 1 | 6 |
| Gemini 3.5 Flash | 1 | 1 | 2 | 2 | 6 |
| Perplexity Sonar | 2 | 2 | 1 | 0 | 5 |
| Grok 4.1 Fast | 5 | 3 | 1 | 2 | 11 |
| Mistral Small | 1 | 1 | 2 | 1 | 5 |
| DeepSeek V4 Flash | 3 | 2 | 1 | 1 | 7 |
| Llama 4 Maverick | 0 | 2 | 2 | 1 | 5 |
| Qwen 3.7 Flash | 1 | 2 | 3 | 1 | 7 |
| Kimi K2 | 1 | 4 | 2 | 1 | 8 |
| GLM 4.7 FlashX | 1 | 4 | 2 | 1 | 8 |
| MiniMax M2.5 | 1 | 3 | 0 | 1 | 5 |
| GPT-6 Luna | 1 | 2 | 0 | 1 | 4 |
| Muse Glimmer 30B | 3 | 0 | 3 | 2 | 8 |
Verbatim evidence the judge attached to positive labels.
“used by 40% of Fortune 100 companies and is known for coding challenges, real-world project assessments... making it unmatched for engineering hiring” Claude Haiku 4.5 · Technical hiring assessm · comparative prompt · first choice
“Choose HackerRank or Codility if you are an enterprise needing rigorous automated screening with ironclad proctoring” Gemini 3.5 Flash · Technical hiring assessm · comparative prompt · first choice
“HackerRank if you are a large company hiring hundreds of developers and need a standardized process.” GLM 4.7 FlashX · Technical hiring assessm · comparative prompt · first choice
“HackerRank is the best overall for mid-market to enterprise teams running high-volume technical hiring” Muse Glimmer 30B · Technical hiring assessm · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“LeetCode-style algorithm challenge platforms (e.g., HackerRank, Codility, CodeSignal): While widely used, these are often criticized for not reflecting real-world job tasks” Mistral Small · Technical hiring assessm · negative prompt · hard negative
“HackerRank – Low Trustpilot score, no refund policy, no debugger, unreliable AI scoring.” GLM 4.7 FlashX · Technical hiring assessm · negative prompt · hard negative
“Avoid pricier ones like Codility/HackerRank ($150\u2013$249+/mo) unless scaling up.” Grok 4.1 Fast · Technical hiring assessm · budget prompt · hard negative
“HackerRank is powerful, but it's usually less budget-friendly for smaller teams” GPT-5.4 mini · Technical hiring assessm · budget prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 248 of the 271 answers that named HackerRank and are not a share of its labels.
656 of the 799 domain citations in answers naming HackerRank came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,040 | 9 | 2026-08-05 | ||
| Glossary or explainer | 112 | 1 | 2026-07-17 | Technical hiring assessm | |
| Comparison | 45 | 1 | 2026-07-17 | Technical hiring assessm, Candidate assessment | |
| Report or ebook | 30 | 0 | 2025-10-01 | ||
| Template or tool | 10 | 0 | 2025-03-13 | ||
| Case study | 9 | 0 | 2025-09-01 | ||
| Webinar or virtual event | 7 | 0 | 2025-03-13 | ||
| Conference or event | 7 | 0 | 2025-03-13 | ||
| News or press | 1 | 0 | 2022-04-06 |
Every page hackerrank.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What HackerRank's own pages state, read September 28, 2026: hackerrank.com, hackerrank.com/about-us/pricing-terms, hackerrank.com/products/engage, hackerrank.com/customers, hackerrank.com/partners. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when HackerRank's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as HackerRank, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for HackerRank by email, built from the raw record of the edition. It shows:
AI models recommend HackerRank first in Technical hiring assessments this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.