HR AI Index
Index Vendors › LeetCode · September 2026 Edition
1 category · Named, not ranked

LeetCode

9Judge labels
0First choices
6Negative labels
5 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. LeetCode was named 7 times in Technical hiring assessm, where HackerRank led with 28%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 LeetCode 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Technical hiring assessmentsTalent acquisition0%52 of 5257%7under 10 labels · led by HackerRank at 28%

Movement

This is the first edition on this tier, so no move can be computed for LeetCode yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated LeetCode across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00022
Mistral Small00112
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Direct3 labelsNone
Paraphrase3 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative9 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.

No positive label carried a quote.

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.

“Avoid for mid-market: LeetCode (practice-focused, not hiring-optimized)” Grok 4.1 Fast · Technical hiring assessm · direct prompt · hard negative
“Avoid LeetCode (candidate prep, not company tool).” Grok 4.1 Fast · Technical hiring assessm · paraphrase prompt · hard negative
“Many platforms that heavily emphasize algorithmic puzzles (like LeetCode-style challenges) may not reflect real-world job performance.” Mistral Small · Technical hiring assessm · negative prompt · soft negative
“Lossy and biased screening method that favors those with time to grind puzzles” Kimi K2 · Technical hiring assessm · negative prompt · soft negative

Named alongside

The products named in the same answers as LeetCode, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LeetCode was named but was not.
ProductSame answerTook the first choice insteadHead to head
HackerRank8 of 93Not in the top three
Codility8 of 90Not in the top three
CoderPad7 of 92Not in the top three
CodeSignal7 of 91Not in the top three
Greenhouse3 of 90Not in the top three
Coderbyte2 of 91Not in the top three
TestDome2 of 90Not in the top three
TestGorilla2 of 90Not in the top three
Woven1 of 91Not in the top three
Code Assess AI1 of 90Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 LeetCode. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 6 of the 9 answers that named LeetCode and are not a share of its labels.

Domains cited

codility.com5
selectsoftwarereviews.com5
arc.dev4
codesignal.com4
codesubmit.io4
hackerrank.com4
interviewcost.com4
utkrusht.ai4
g2.com3
gitnux.org3

Forty of the forty domain citations in answers naming LeetCode came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as LeetCode

What the judge wrote, as written, with how often. The vendor table decides that these count as LeetCode; a claim can dispute any of them.
LeetCode for Businesses 1LeetCode for Teams 1
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 LeetCode'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 LeetCode, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at leetcode.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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