ModernLoop vs candidate.fyi
Five of twelve models named ModernLoop first on the direct prompt; zero named candidate.fyi. ModernLoop was named by eleven of the twelve models and candidate.fyi by six and ModernLoop carries 29 labels and candidate.fyi 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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
ModernLoopFirst choices, of twelve modelscandidate.fyi
Across every category in the September 2026 Edition, ModernLoop and candidate.fyi were named in the same answer thirty-three times, of the 71 answers naming ModernLoop and the 59 naming candidate.fyi. In those answers candidate.fyi took the first choice ten times and ModernLoop three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | |
ModernLoop candidate.fyi first choice named as an alternative argued againstblank: not namedEach cell is one answer, ModernLoop on the left and candidate.fyi on the right.The direct prompt
ModernLoop first, candidate.fyi an alternative
5 of 12 modelscandidate.fyi was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.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
ModernLoop0%#11 of 11candidate.fyi0%#– of 11ModernLoop15%#2 of 11candidate.fyi6%#7 of 11candidate.fyi21%#2 of 9ModernLoop0%#5 of 9What the models said about ModernLoop
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Enterprise, quote-only, often thousands per month — avoid these on a limited budget” DeepSeek V4 Flash · budget prompt · hard negative
“expensive administrative overkill for small-to-midsize companies (under 100 employees)” Gemini 3.5 Flash · negative prompt · soft negative
“ModernLoop can add friction and slow your process” GLM 4.7 FlashX · negative prompt · soft negative
“ModernLoop is the strongest default choice because it is repeatedly positioned as a mid-market tool with strong automation” Perplexity Sonar · direct prompt · first choice
“The Top Pick: ModernLoop ... widely considered the strongest standalone scheduling tool for mid-market companies” GLM 4.7 FlashX · direct prompt · first choice
“Add ModernLoop (or Calendly for lighter needs) on top — it's the value sweet spot for mid-market.” DeepSeek V4 Flash · 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
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.