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Index Talent acquisition Interview scheduling › Greenhouse vs candidate.fyi
Interview scheduling · September 2026 Edition

Greenhouse vs candidate.fyi

Three of twelve models named Greenhouse first on the direct prompt; zero named candidate.fyi. Greenhouse was named by twelve of the twelve models and candidate.fyi by six and Greenhouse carries 28 labels and candidate.fyi 11, so the shares are not directly comparable.

Greenhouse

accepted challenger

Named in thirteen categories this edition.

candidate.fyi

accepted challenger

Named in one category this edition.

First-choice share13%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 11; printed, not drawn.
Labels2811A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Greenhouse reading right to left. Rank and label count are printed, not drawn.ModernLoop was named alongside these two in ten of the twelve direct answers. Calendly vs Greenhouse · Calendly vs candidate.fyi · ModernLoop vs Greenhouse

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the interview scheduling page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
GreenhouseFirst choices, of twelve modelscandidate.fyi
Direct30
Paraphrase401 against Greenhouse
Comparative00
Budget-constrained001 against Greenhouse
Scale-constrained03
Negative01
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Greenhouse and candidate.fyi stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Greenhouse candidate.fyi first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenhouse on the left and candidate.fyi on the right.

The direct prompt

The plain question, one answer per model, grouped by where Greenhouse and candidate.fyi stood in it.

Greenhouse first, candidate.fyi not the choice

3 of 12 modelscandidate.fyi was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Cronofy, Greenhouse alternatives: Calendly, Koalendar, ModernLoop
DeepSeek V4 FlashGreenhouse, ModernLoop alternatives: Ashby, Calendly, Lever
Qwen 3.7 FlashGreenhouse alternatives: Calendly, GoodTime, Lever, LimeLight, Lunacal

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashModernLoop alternatives: Ashby, candidate.fyi
Grok 4.1 FastGoodTime, Lever alternatives: Greenhouse, ModernLoop
Llama 4 MaverickModernLoop alternatives: Greenhouse, Lever
Kimi K2Lever alternatives: GoodTime, Greenhouse, ModernLoop
GLM 4.7 FlashXModernLoop alternatives: GoodTime, Lever, candidate.fyi
MiniMax M2.5Cal.com, Lever alternatives: GoodTime, Greenhouse, ModernLoop

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGoodTime alternatives: Ashby, Calendly
Perplexity SonarModernLoop alternatives: GoodTime, Lever
Mistral SmallLever alternatives: Koalendar, ModernLoop

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Greenhouse0%#8 of 11
candidate.fyi0%#– of 11
The full small business standing →
Mid-marketThe figures above
Greenhouse leads by eight points.
Greenhouse13%#3 of 11
candidate.fyi6%#7 of 11
The full mid-market standing →
Enterprise
The order flips: candidate.fyi leads at enterprise.
candidate.fyi21%#2 of 9
Greenhouse7%#3 of 9
The full enterprise standing →

What the models said about Greenhouse

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Expensive, longer setup (4-8 wks), quote-only ... they're overkill (and 2-5x costlier) for most mid-sized B2B ops” Grok 4.1 Fast · paraphrase prompt · soft negative
“Greenhouse is a strong fit for mid-size to enterprise companies with dedicated recruiting teams managing high volumes of interviews” Claude Haiku 4.5 · direct prompt · first choice

What the models said about candidate.fyi

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Built specifically for companies of your size. Strong zero-click automation, heavy interviewer training logic, and branded portals.” Gemini 3.5 Flash · scale prompt · first choice
“prioritize tools with panel support like GoodTime alternatives (e.g., candidate.fyi, ModernLoop)” Grok 4.1 Fast · negative prompt · first choice
“Best for complex panels/enterprise orchestration: GoodTime, candidate.fyi” Kimi K2 · scale prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.