Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 55 of 60, unchanged
1 category · Named, not rankedQualified
5Judge labels
0First choices
1Negative labels
5 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Qualified was named 3 times in Technical hiring assessm, where HackerRank led with 17%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business55 of 61
0%1 label
under the label threshold
Mid-market19 of 71
0%3 labels
under the label threshold
Enterprise27 of 43
0%1 label
under the label threshold
In technical hiring assessm · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Qualified for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Technical hiring assessments | Talent acquisition | 0% | 19 of 71 | 0% | 3 | under 10 labels · led by HackerRank at 17% | ▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Qualified held within the floor in its one category: no change cleared 13 points.
Best category · Technical hiring assessm · by segment
Mid-market▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 3% in September 2026
Inside the floor by 10 pointsRank 10 → 20 of 67
EnterprisenewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 27 of 41, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Technical hiring assessm | 3% | 0% | ▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 10 → 19 of 71 |
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
By model
How each model treated Qualified across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Qualified across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative5 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Real-world code assessments | Repeatable, consistently scored real-world tasks” DeepSeek V4 Flash · Technical hiring assessm · scale prompt · alternative
“Want candidates working in project-style environments: Qualified” GPT-6 Luna · Technical hiring assessm · comparative prompt · alternative
And against it
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.
No model argued against it.
Named alongside
The products named in the same answers as Qualified, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Qualified was named but was not.ShowHide
Named alongside
The products named in the same answers as Qualified, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Qualified was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Qualified. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 5 of the 5 answers that named Qualified and are not a share of its labels.
Domains cited
codility.com3
adaface.com2
coderpad.io2
codesignal.com2
goodfit.so2
hackerearth.com2
hackerrank.com2
resources.trueability.com2
selectsoftwarereviews.com2
aihr.com1
Twenty of the twenty domain citations in answers naming Qualified came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
qualified.io is not in Google's top ten for any of the category's searches. In the answers, Qualified takes 0% of first choices and HackerRank takes 17%.ShowHide
Search and answers
qualified.io is not in Google's top ten for any of the category's searches. In the answers, Qualified takes 0% of first choices and HackerRank takes 17%.
ShowHideIn search
Google, US estimatesPosition for “coding assessment platform”
–
not in the top ten
Position for “technical assessment platforms”
–
not in the top ten
- Searches for its name, Google
- 60,500 a month (“qualified”)
- AI search demand for its name, est.
- 557,262 a month
In answers
This editionShare of first choices
0%
rank 19 of 71 in technical hiring assessm
Segment leader
17%
HackerRank
- First choices
- 0 across its categories
- Named in
- 5 answers
- Its own site cited
- in 5 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on qualified.io
316
subdomains included
Content
96
counted in the table below
Documentation
193
Product · Integration
0 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 80 | 0 | 2025-02-02 | Applicant tracking syste | |
| Report or ebook | 14 | undated | |||
| Glossary or explainer | 2 | 0 | 2018-05-15 |
Most recent
- 2025-02-026 ways to reduce time to hire for technical roles blog
- 2023-03-09Andela and qualified join forces blog
- 2023-02-01Ats integration qualified recruitee blog
- 2023-01-12Lever integration blog
- 2022-10-19Why dev team communication matters during the onboarding process blog
- 2022-09-29The developer interview process is flawed blog
How it is countedHide how it is counted
Every page qualified.io 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. Read September 29, 2026.
Follow Qualified
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.
Is this your product?
Claim this page
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 Qualified'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 Qualified, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Qualified by email, built from the raw record of the edition. It shows:
- where Qualified is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Qualified, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.