Interview scheduling
Asked as “interview scheduling software”, and as “recruiting coordination tool”, on behalf of a mid-market B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
21%
Contested · ModernLoop 15%
21Calendly15ModernLoop13Greenhouse51others
21% of first choices, contested.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the one product at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Calendly vs GoodTimeCalendly vs LeverCalendly vs candidate.fyiCalendly vs WorkableModernLoop vs GreenhouseModernLoop vs KoalendarModernLoop vs GoodTimeModernLoop vs LeverModernLoop vs candidate.fyiModernLoop vs WorkableGreenhouse vs KoalendarGreenhouse vs GoodTimeGreenhouse vs LeverGreenhouse vs candidate.fyiGreenhouse vs WorkableKoalendar vs GoodTimeKoalendar vs LeverKoalendar vs candidate.fyiKoalendar vs WorkableGoodTime vs LeverGoodTime vs candidate.fyiGoodTime vs WorkableLever vs candidate.fyiLever vs Workablecandidate.fyi vs Workable
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Calendly21%
Calendly21%02ModernLoop15%
ModernLoop15%03Greenhouse13%
Greenhouse13%04Koalendar11%
Koalendar11%05GoodTime9%
GoodTime9%06Lever8%
Lever8%07candidate.fyi6%
candidate.fyi6%08Workable4%
Workable4%09Ashby2%
Ashby2%10YouCanBookMe2%
YouCanBookMe2%11Paradox0%
Paradox0%What they warned about
Two of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Calendly40%
21 of 52 labels negative · 10 of 12 models · 1 hard negative
“it's frequently cited as a tool recruiting teams outgrow quickly: Built for two-party scheduling, not complex panel interviews” Kimi K2, negative prompt
GoodTime24%
11 of 45 labels negative · 7 of 12 models · 2 hard negative
“Avoid ATS-style recruiting platforms like Breezy HR, Workable, or GoodTime if budget is tight” Perplexity Sonar, budget prompt
Doodle50%
4 of 8 labels negative · 4 of 12 models · 1 hard negative
“Multiple sources flag declining quality and user experience issues... made polls "basically useless"... Mobile app described as "utterly garbage"” Kimi K2, negative prompt
Google Calendar50%
4 of 8 labels negative · 4 of 12 models · 1 hard negative
“Google Calendar itself is not designed for self-scheduling or ATS integration. It's fully manual” Mistral Small, negative prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
66 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 892 links across 230 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Lever37 answers · 37 citations · 11 models
35 answers · 38 citations · 11 models
33 answers · 50 citations · 11 models
32 answers · 38 citations · 11 models
vendor site · Cal.com22 answers · 22 citations · 9 models
vendor site · G222 answers · 22 citations · 12 models
vendor site · Metaview21 answers · 21 citations · 10 models
20 answers · 26 citations · 10 models
vendor site · Lunacal18 answers · 18 citations · 9 models
vendor site · Koalendar17 answers · 22 citations · 9 models
vendor site · GoodTime17 answers · 21 citations · 10 models
vendor site · FluentBooking16 answers · 19 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
37 answers · 11 models
27 answers · 11 models
24 answers · 10 models
21 answers · 9 models
21 answers · 12 models
20 answers · 10 models
18 answers · 9 models
17 answers · 8 models
17 answers · 9 models
16 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best interview scheduling software”, “interview scheduling software”, “interview scheduling tools”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Calendly calendly.com | 21% | 214 | 368,000 | 2,824 | 292,858 | $34 | 5 | |
| ModernLoop modernloop.com | 15% | 116 | 880 | 7 | 410 | |||
| Greenhouse greenhouse.com | 13% | 401 | 301,000 | 52,273 | 62,551 | $5,545 | 74 | |
| Koalendar koalendar.com | 11% | 48 | 2,400 | 32 | 1,332,699 | 9 | ||
| GoodTime goodtime.io | 9% | 156 | 135,000 | 614 | 2,435 | $1,627 | 7 | 4 |
| Lever lever.co | 8% | 221 | 60,500 | 24,663 | 189,552 | $657 | 7 | |
| candidate.fyi candidate.fyi | 6% | 70 | 210 | 0 | 494 | 10 | 1 | |
| Cal.com cal.com | 4% | 92 | 2,900 | 100 | 439,943 | 3 | ||
| Workable workable.com | 4% | 332 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| Gem gem.com | 4% | 182 | 246,000 | 225,116 | 16,291 | 10 |
Google's top ten for the three searches hold 13 sites; 5 of them are among the sites the models cited here (candidate.fyi, goodtime.io, lunacal.ai, selectsoftwarereviews.com, youcanbook.me). The first result for “best interview scheduling software” is candidate.fyi.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best interview scheduling software for a mid-market B2B company?”Paraphrase“Which recruiting coordination tool would you recommend to a mid-sized B2B company?”Comparative“What are the top interview scheduling tools and how do they differ?”Budget-constrained“What is the best interview scheduling software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an interview scheduling software. What should we look at?”Negative“Which interview scheduling tools should I avoid or be cautious about?”
Claude Haiku 4.5Cronofy, GreenhouseWorkableChangedGoodTime, MokaHRCalendly, YouCanBookMeno first choiceagainst: Basic Google Calendar Integrations, Calendly, YouCanBookMe
Three alternatives
Calendly, Koalendar, ModernLoopTwo alternatives
Greenhouse, PinpointFive alternatives
Cronofy, Greenhouse, Koalendar, Lever, YouCanBookMeOne alternative
Google CalendarGPT-5.4 miniGoodTimeAshbyChangedCalendlyCalendlyagainst: GoodTime, Greenhouseno first choicenothing named
Two alternatives
Ashby, CalendlyTwo alternatives
GoodTime, GreenhouseThree alternatives
Cronofy, GoodTime, PreludeOne alternative
DoodleGemini 3.5 FlashModernLoopagainst: CalendlyModernLoopHeldagainst: GoodTimeGoodTimeagainst: CalendlyCal.comagainst: CalendlyModernLoop, candidate.fyiagainst: Calendly, GoodTime, YouCanBookMeagainst: Acuity Scheduling, Calendly, Gmail add-ons, GoodTime, Lever, Microsoft Outlook plugins, ModernLoop, Paradox, Workday Recruiting, YouCanBookMe
Two alternatives
Ashby, candidate.fyiTwo alternatives
Ashby, candidate.fyiSix alternatives
Cal.com, ModernLoop, Paradox, Sapia.ai, YouCanBookMe, candidate.fyiFive alternatives
FluentBooking, Freshteam, Koalendar, Setmore, YouCanBookMeTwo alternatives
Greenhouse, LeverPerplexity SonarModernLoopagainst: CalendlyGemChangedno first choiceCalendly, Koalendaragainst: Breezy HR, GoodTime, Workableno first choiceagainst: Calendly-style links
Two alternatives
GoodTime, LeverFour alternatives
Ashby, GoodTime, Greenhouse, WorkableSix alternatives
Ashby, Calendly, GoodTime, Greenhouse, Paradox, VidCruiterOne alternative
Microsoft BookingsGrok 4.20GoodTime, Leveragainst: Acuity Scheduling, CalendlyWorkableChangedagainst: Greenhouse, LeverCalendly, GoodTimeCalendly, Koalendaragainst: GoodTime, LeverGoodTime, ModernLoop, candidate.fyiagainst: Calendlyagainst: Doodle, GoodTime, Indeed Interview, Lever, Paradox, SimplyBook.me, myInterview
Two alternatives
Greenhouse, ModernLoopOne alternative
AshbySix alternatives
Acuity Scheduling, ModernLoop, SavvyCal, Sense, VidCruiter, YouCanBookMeTwo alternatives
Setmore, YouCanBookMeTwo alternatives
Greenhouse, LeverMistral SmallLeverGemChangedCal.comCalendlyno first choiceagainst: Calendly, Doodle, Google Calendar, Paradox, YouCanBookMe
Two alternatives
Koalendar, ModernLoopTwo alternatives
Ashby, LeverSeven alternatives
Calendly, GoodTime, Greenhouse, ModernLoop, Paradox, Prelude, VidCruiterFour alternatives
Cal ID, GoodTime, Setmore, Sign In SchedulingDeepSeek V4 FlashGreenhouse, ModernLoopagainst: GoodTimeGreenhouseChangedagainst: Calendlyno first choiceagainst: CalendlyCalendlyagainst: GoodTime, Google Calendar, JazzHR, ModernLoopGoodTimeagainst: Calendly, Fake Indeed interview apps
Three alternatives
Ashby, Calendly, LeverFive alternatives
Ashby, GoodTime, Lever, ModernLoop, WorkableFour alternatives
Cal.com, GoodTime, ModernLoop, ParadoxThree alternatives
Koalendar, Picktime, YouCanBookMeFour alternatives
Calendly, Craft, HireVue, ParadoxLlama 4 MaverickModernLoopno first choiceChangedno first choiceKoalendarno first choiceagainst: Calendly, Doodle, Google Calendar
Two alternatives
Greenhouse, LeverFour alternatives
Breezy HR, Calendly, WhenAvailable, WorkableQwen 3.7 FlashGreenhouseGreenhouseHeldCalendly, GoodTimeagainst: Google Appointments / Microsoft BookingsCalendlyCalendlyagainst: Oracle, SAP SuccessFactors Recruitingagainst: GoodTime, HireVue, Lever
Five alternatives
Calendly, GoodTime, Lever, LimeLight, LunacalFour alternatives
GoodTime, Lever, Simplifai, WorkableOne alternative
HubSpot MeetingsTwo alternatives
Setmore, YouCanBookMeFour alternatives
Deel Recruiting, GoodTime, Tula, Voco.aiKimi K2Leveragainst: CalendlyGreenhouseChangedGoodTimeCalendlyGoodTime, candidate.fyiagainst: Calendlyagainst: Acuity Scheduling, Calendly, Doodle, Mercor
Three alternatives
GoodTime, Greenhouse, ModernLoopOne alternative
LeverSeven alternatives
Cal.com, Calendly, Cronofy, ModernLoop, Paradox, VidCruiter, candidate.fyiThree alternatives
Cal.com, Koalendar, SetmoreTwo alternatives
Greenhouse, LeverGLM 4.7 FlashXModernLoopagainst: CalendlyCalendly, KoalendarChangedno first choiceKoalendaragainst: Calendlyno first choiceagainst: Calendly, CareerPlug, Cronofy, ModernLoop
Three alternatives
GoodTime, Lever, candidate.fyiFour alternatives
BrightHire, GoodTime, Greenhouse, LeverTwo alternatives
Setmore, YouCanBookMeMiniMax M2.5Cal.com, LeverGreenhouseChangedCal.comCalendly, Koalendarno first choiceagainst: Calendly, GoodTime, Google Calendar, Paradox, YouCanBookMe
Three alternatives
GoodTime, Greenhouse, ModernLoopThree alternatives
Gem, Lever, WorkableNine alternatives
Calendly, Cronofy, GoodTime, Greenhouse, HireVue, Lever, ModernLoop, Paradox, VidCruiterFour alternatives
Doodle, Google Calendar, Sign In Scheduling, YouCanBookMeBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:07 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:25 | yes | 3 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:50 | yes | 19 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 18:13 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:37 | yes | 36 | 20 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:32 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:44 | yes | 19 | 16 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:00 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 21:35 | yes | 12 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:02 | yes | 9 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:02 | yes | 23 | 36 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:34 | yes | 7 | 29 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:59 | yes | 9 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:19 | yes | 3 | 7 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:01 | yes | 9 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 20:22 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:34 | yes | 44 | 20 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:08 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:15 | yes | 10 | 14 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:16 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:52 | yes | 5 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:54 | yes | 10 | 19 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:04 | yes | 20 | 70 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:02 | yes | 9 | 34 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:30 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:10 | yes | 4 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:04 | yes | 21 | 54 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 20:35 | yes | 20 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:22 | yes | 28 | 20 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:35 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:39 | yes | 16 | 18 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:13 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:23 | no | 0 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:13 | yes | 9 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:10 | yes | 19 | 39 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:19 | yes | 5 | 22 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:15 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:29 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:40 | yes | 17 | 18 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 21:23 | yes | 20 | 6 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:24 | yes | 10 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:20 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:29 | yes | 7 | 10 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:52 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:11 | yes | 5 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:12 | yes | 13 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:11 | yes | 24 | 32 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:00 | yes | 5 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:29 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:01 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:36 | yes | 11 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 19:36 | yes | 20 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 17:53 | yes | 12 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:00 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:11 | yes | 15 | 27 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:35 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 21:17 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:14 | yes | 9 | 58 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:34 | yes | 11 | 127 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:26 | no | 0 | 11 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:17 | yes | 17 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:03 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:02 | yes | 24 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 18:50 | yes | 20 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:22 | yes | 41 | 20 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:18 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:31 | yes | 20 | 18 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:39 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:19 | yes | 13 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:38 | yes | 30 | 67 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:22 | yes | 33 | 70 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:36 | yes | 14 | 23 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Acuity read as Acuity Scheduling
SAP read as SAP SuccessFactors Recruiting
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Workday read as Workday Recruiting
Unresolved, counted raw
8x8
Basic Google Calendar Integrations
Cal ID
Calendly-style links
Craft
Deel Recruiting
Fake Indeed interview apps
Gmail add-ons
Google Appointments / Microsoft Bookings
Greenhouse-adjacent workflows
Indeed Interview
LimeLight
Microsoft Outlook plugins
Simplifai
Tula
Voco.ai
Discontinued, still offered
No shut-down product was recommended here.