Interview scheduling for small business buyers
Asked as “interview scheduling software”, and as “recruiting coordination tool”, on behalf of a small B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
41%
Clear leader
41Calendly14Koalendar07Workable39others
41% of first choices, clear leader.
Since September 2026▼−23Since September 2026: 62% → 38%, −23 points. Past the 13-point floor: movement. Read over the models both editions asked.Calendly held the lead, −23 points on 62%, past the floor.
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.
Small business
Calendly41%Clear leader▼−23Since September 2026: 62% → 38%, −23 points. Past the 13-point floor: movement. Read over the models both editions asked.This pageMid-marketCalendly20%Contested▲+1Since September 2026: 21% → 21%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
GoodTime55%Clear leader▼−5Since September 2026: 56% → 51%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Calendly41%Clear leader▼−23Since September 2026: 62% → 38%, −23 points. Past the 13-point floor: movement. Read over the models both editions asked.This pageMid-marketCalendly20%Contested▲+1Since September 2026: 21% → 21%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseGoodTime55%Clear leader▼−5Since September 2026: 56% → 51%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Calendly41%11%64endorsed leader▼−23Since September 2026: 62% → 38%, −23 points. Past the 13-point floor: movement. Read over the models both editions asked.62% → 38%
Calendly41%11%64endorsed leader▼−23Since September 2026: 62% → 38%, −23 points. Past the 13-point floor: movement. Read over the models both editions asked.62% → 38%02
Koalendar14%0%18accepted challenger▲+3Since September 2026: 11% → 13%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 13%
Koalendar14%0%18accepted challenger▲+3Since September 2026: 11% → 13%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 13%03
Workable7%11%18accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%
Workable7%11%18accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%04
Breezy HR5%0%15accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 4%
Breezy HR5%0%15accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 4%05
Ashby5%15%13accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 6%
Ashby5%15%13accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 6%06
Cal.com3%0%20accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Cal.com3%0%20accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%07
Greenhouse3%41%22criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Greenhouse3%41%22criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%08
YouCanBookMe2%0%20accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
YouCanBookMe2%0%20accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%09
Setmore2%8%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Setmore2%8%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%10
Lever2%33%18criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Lever2%33%18criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%11GoodTime2%61%38criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
GoodTime2%61%38criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
15
Paradox0%71%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Paradox0%71%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%14
ModernLoop0%50%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
ModernLoop0%50%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%13
Google Calendar Lab in the set0%47%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Google Calendar Lab in the set0%47%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%12
Microsoft Bookings0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Microsoft Bookings0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%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
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.
Google Calendar is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All twenty-eight head-to-head pages: the top eight products, each against each
Calendly vs GreenhouseCalendly vs Cal.comCalendly vs KoalendarCalendly vs AshbyGoodTime vs LeverGoodTime vs ModernLoopGoodTime vs GreenhouseGoodTime vs Cal.comGoodTime vs KoalendarGoodTime vs AshbyLever vs ModernLoopLever vs GreenhouseLever vs Cal.comLever vs KoalendarLever vs AshbyModernLoop vs GreenhouseModernLoop vs Cal.comModernLoop vs KoalendarModernLoop vs AshbyGreenhouse vs Cal.comGreenhouse vs KoalendarGreenhouse vs AshbyCal.com vs KoalendarCal.com vs AshbyKoalendar vs Ashby
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 →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Calendly41%
Calendly41%02Koalendar14%
Koalendar14%03Workable7%
Workable7%04Breezy HR5%
Breezy HR5%05Ashby5%
Ashby5%06Cal.com3%
Cal.com3%07Greenhouse3%
Greenhouse3%08YouCanBookMe2%
YouCanBookMe2%09Setmore2%
Setmore2%10Lever2%
Lever2%11GoodTime2%
GoodTime2%12Microsoft Bookings0%
Microsoft Bookings0%13Google Calendar0%
Google Calendar0%14ModernLoop0%
ModernLoop0%15Paradox0%
Paradox0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. 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, GPT-6 Luna and Muse Glimmer 30B 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.
GoodTime61%
23 of 38 labels negative · 13 of 14 models · 8 hard negative
“"Recruiting-specific schedulers that are generally overkill for SMBs" ... "Enterprise pricing, typically $5K-$15K per year minimum. Overkill for teams running under 200 hires a year."” Muse Glimmer 30B, negative prompt
ModernLoop50%
12 of 24 labels negative · 7 of 14 models · 6 hard negative
“"Quote-based/enterprise-only (no free tiers), often $10K+ annually… small businesses face long onboarding and poor value."” Muse Glimmer 30B, negative prompt
Paradox71%
10 of 14 labels negative · 7 of 14 models · 4 hard negative
“Examples:** Paradox (Olivia), Joveo, HireVue. ... **Why to avoid them:**” Gemini 3.5 Flash, negative prompt
Greenhouse41%
9 of 22 labels negative · 7 of 14 models · 3 hard negative
“Tools to **Avoid or Use with Extreme Caution**: 1. **Enterprise ATS Platforms with Scheduling (e.g., Greenhouse, Lever, Workable)**” Grok 4.1 Fast, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 966 links across 168 sites, every framing counted. Ranked by the number of answers carrying the site or page. 4 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Lever43 answers · 45 citations · 12 models
vendor site · FirstHR38 answers · 39 citations · 11 models
34 answers · 35 citations · 12 models
vendor site · Sapia.ai34 answers · 35 citations · 10 models
vendor site · Cal.com32 answers · 46 citations · 9 models
vendor site · Metaview32 answers · 33 citations · 11 models
vendor site · Koalendar29 answers · 53 citations · 11 models
29 answers · 30 citations · 11 models
vendor site · Intervue28 answers · 29 citations · 11 models
25 answers · 28 citations · 11 models
vendor site · Pin23 answers · 25 citations · 11 models
vendor site · Calendly22 answers · 28 citations · 11 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.
42 answers · 11 models
38 answers · 11 models
31 answers · 11 models
31 answers · 10 models
29 answers · 8 models
28 answers · 11 models
28 answers · 12 models
27 answers · 11 models
25 answers · 10 models
19 answers · 9 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 | 41% | 240 | 368,000 | 2,824 | 292,858 | $34 | 5 | |
| Koalendar koalendar.com | 14% | 31 | 2,400 | 32 | 1,332,699 | 9 | ||
| Workable workable.com | 7% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| Breezy breezy.hr Breezy HR 5% | 5% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 | |
| Ashby ashbyhq.com | 5% | 160 | 49,500 | 3,112 | 216,820 | 16 | ||
| Cal.com cal.com | 3% | 82 | 2,900 | 100 | 439,943 | 3 | ||
| Greenhouse greenhouse.com | 3% | 419 | 301,000 | 52,273 | 62,551 | $5,545 | 74 | |
| YouCanBookMe youcanbook.me | 2% | 43 | 5,400 | 77 | 81,637 | 3 | 8 | |
| Setmore setmore.com | 2% | 29 | 12,100 | 128 | 1,053,528 | 10 | 5 | |
| Zoho zoho.com Zoho Recruit 2% | 2% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 |
Google's top ten for the three searches hold 13 sites; 2 of them are among the sites the models cited here (peoplemanagingpeople.com, selectsoftwarereviews.com). 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 small B2B company?”Paraphrase“Which recruiting coordination tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top interview scheduling tools for a small team and how do they differ?”Budget-constrained“What is the best interview scheduling software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an interview scheduling software. What should we look at?”Negative“Which interview scheduling tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Calendly, Koalendarno first choiceChangedKoalendarSetmoreno first choiceagainst: GoodTime, HireVue, VidCruiter, candidate.fyi
One alternative
Breezy HRFour alternatives
Calendly, Lunacal, Microsoft Bookings, YouCanBookMeThree alternatives
Calendly, Google Calendar, KoalendarGPT-5.4 miniCalendlyGreenhouseChangedCalendlyagainst: HireVueCalendlyagainst: GoodTimeno first choicenothing named
Two alternatives
Ashby, GoodTimeOne alternative
LeverOne alternative
GoodTimeOne alternative
WorkableGemini 3.5 FlashArrange, Cal.com, SavvyCalagainst: ModernLoopAshbyChangedagainst: GoodTime, ModernLoopCalendlyagainst: TidyCalTidyCalagainst: CalendlyAshby, Calendlyagainst: GoodTime, Paradoxagainst: Cronofy, GoodTime, HireVue, Joveo, ModernLoop, Paradox, Prelude, candidate.fyi
One alternative
AshbyTwo alternatives
Calendly, WorkableFour alternatives
Ashby, Meetergo, SavvyCal, YouCanBookMeFour alternatives
Cal.com, Google Calendar, Koalendar, Microsoft BookingsFour alternatives
Breezy HR, SavvyCal, Workable, YouCanBookMePerplexity SonarCalendlyagainst: GoodTime, ModernLoop, ParadoxWorkableChangedCalendlyCalendlyagainst: Google Calendarno first choiceagainst: GoodTime, Google Calendar, HireVue, ModernLoop, Paradox, candidate.fyi
One alternative
GreenhouseTwo alternatives
Breezy HR, CalendlyFour alternatives
Acuity Scheduling, Appointlet, Cal.com, Microsoft BookingsTwo alternatives
Microsoft Bookings, YouCanBookMeGrok 4.1 FastCalendlyJazzHRChangedCalendlyagainst: GoodTime, Google Calendar, Greenhouse, Microsoft BookingsKoalendaragainst: Calendly, Google Calendar, SetmoreAcuity Scheduling, Calendlyagainst: Calendly, GoodTime, Greenhouse, Joveo, Lever, Paradox, VidCruiter, Workable
Four alternatives
Cal.com, Google Calendar, Koalendar, Microsoft BookingsTwo alternatives
Breezy HR, WorkableTwo alternatives
Cal.com, YouCanBookMeTwo alternatives
TidyCal, YouCanBookMeFour alternatives
GoodTime, Lever, ModernLoop, PhenomMistral SmallCalendlyno first choiceChangedCalendlyagainst: AppointletCalendly, Doodleno first choiceagainst: Doodle, HireVue, VidCruiter
One alternative
IntervueTwo alternatives
Google Appointment Schedulers, YouCanBookMeTwo alternatives
Acuity Scheduling, SetmoreDeepSeek V4 FlashCalendlyagainst: GoodTime, ParadoxBreezy HRChangedagainst: Greenhouse, LeverCal.com, Calendlyagainst: HireVueKoalendaragainst: Google Calendar, Greenhouse, LeverCal.com, Calendlyagainst: GoodTime, ModernLoopagainst: Doodle, GoodTime, HireVue, ModernLoop, Paradox, Spark Hire, VidCruiter
Two alternatives
Lever, WorkableTwo alternatives
JazzHR, WorkableFour alternatives
Doodle, ModernLoop, Paradox, SavvyCalThree alternatives
Cal.com, Calendly, Microsoft BookingsThree alternatives
Greenhouse, Intervue, LeverLlama 4 Maverickno first choiceWorkableChangedno first choiceYouCanBookMeno first choiceagainst: GoodTime, Greenhouse, Jobma, VidCruiter, myInterview
Three alternatives
Juicebox, Loxo, ManatalTwo alternatives
Breezy HR, CalendlyQwen 3.7 FlashCalendlyWorkableChangedCalendlyKoalendarAshby, Lever, Recruiteeagainst: Calendlyagainst: GoodTime, Greenhouse, HireVue, Lever, VidCruiter, myInterview
Three alternatives
Ashby, OnceHub, Sapia.aiTwo alternatives
RiceBowl, Zoho RecruitFour alternatives
Cal.com, GoodTime, ModernLoop, SavvyCalTwo alternatives
Calendly, Zoho RecruitTwo alternatives
GoodTime, ModernLoopKimi K2Calendly, Greenhouseagainst: GoodTimeBreezy HRChangedagainst: WorkableCal.comagainst: GoodTime, ModernLoop, ParadoxCalendlyCalendly, Koalendaragainst: Acuity Scheduling, Ashby, Calendly, GoodTime, Greenhouse, Lever, ModernLoop
Two alternatives
Homebase, SetmoreOne alternative
JazzHRFour alternatives
Calendly, Koalendar, Setmore, YouCanBookMeFour alternatives
Cal.com, Koalendar, Setmore, YouCanBookMeGLM 4.7 FlashXCalendlyRecruit CRMChangedCalendlyKoalendarCalendly, GoodTimeagainst: Ashby, Doodle, GoodTime, Google Calendar, Greenhouse, JazzHR, Lever, ModernLoop, Paradox
Six alternatives
Acuity Scheduling, Cal.com, GoodTime, Interviewer.AI, Microsoft Bookings, ModernLoopFive alternatives
Breezy HR, Factorial, JazzHR, Workable, Zoho RecruitEight alternatives
Google Calendar, Koalendar, Microsoft Bookings, ModernLoop, Paradox, Picktime, VidCruiter, YouCanBookMeTwo alternatives
Cal.com, CalendlyMiniMax M2.5CalendlyWorkableChangedCal.com, Calendlyagainst: GoodTimeCalendly, Koalendarno first choiceagainst: Calendly, GoodTime, ModernLoop
Three alternatives
Cal.com, GoodTime, Microsoft BookingsThree alternatives
Breezy HR, JazzHR, RecruiteeThree alternatives
Microsoft Bookings, ModernLoop, YouCanBookMeTwo alternatives
Doodle, Microsoft BookingsGPT-6 LunaCalendlyBreezy HRChangedAshby, Calendlyagainst: GoodTimeCalendlyno first choiceagainst: Calendly, GoodTime, Greenhouse, Paradox
Three alternatives
GoodTime, Greenhouse, WorkableTwo alternatives
Greenhouse, ModernLoopOne alternative
Zoho RecruitMuse Glimmer 30BCalendlyZoho RecruitChangedCal.com, CalendlyKoalendarCalendlyagainst: GoodTime, Google Calendar, ModernLoop
Four alternatives
Acuity Scheduling, Appointlet, Cal.com, Chili PiperOne alternative
WorkableFive alternatives
Cronofy, Doodle, GoodTime, ModernLoop, YouCanBookMeTwo alternatives
Calendly, YouCanBookMeFour alternatives
Ashby, Greenhouse, Lever, candidate.fyiBold 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. Full answer text is in the free responses file. Download the record
Eighty-four 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 | 2026-10-01 10:47 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:54 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:49 | yes | 16 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:56 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:11 | yes | 22 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:49 | yes | 5 | 2 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:32 | yes | 23 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:30 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:12 | yes | 10 | 42 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:49 | yes | 9 | 15 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:43 | yes | 13 | 50 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:36 | yes | 8 | 18 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:12 | yes | 4 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:47 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:54 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:40 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:15 | yes | 21 | 67 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:16 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:38 | yes | 25 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:59 | no | 0 | 1 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:55 | yes | 25 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:29 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:38 | yes | 5 | 21 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:01 | yes | 15 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:59 | yes | 10 | 39 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:54 | yes | 14 | 31 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:40 | yes | 1 | 10 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:13 | yes | 20 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:35 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:39 | yes | 5 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:43 | yes | 21 | 29 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 07:48 | yes | 19 | 3 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:15 | yes | 23 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:05 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:55 | yes | 22 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:07 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:55 | yes | 10 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:18 | yes | 9 | 23 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:56 | yes | 12 | 42 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:30 | yes | 9 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:32 | yes | 4 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:29 | yes | 12 | 16 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:03 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:04 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:50 | yes | 11 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:57 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:03 | yes | 19 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:59 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:21 | yes | 20 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:40 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:04 | yes | 18 | 38 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:16 | yes | 8 | 17 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:30 | yes | 19 | 82 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:05 | yes | 9 | 26 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:59 | yes | 2 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:21 | yes | 10 | 18 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:09 | no | 0 | 4 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:08 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:42 | yes | 11 | 22 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:36 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:14 | yes | 12 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:47 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:58 | yes | 12 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:55 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:39 | yes | 7 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:05 | yes | 12 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:02 | yes | 17 | 56 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:31 | no | 0 | 7 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:18 | yes | 2 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:35 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:45 | yes | 16 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:18 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:51 | yes | 13 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:36 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:47 | yes | 25 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:28 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:26 | yes | 18 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:36 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:52 | yes | 11 | 45 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:43 | yes | 22 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:59 | yes | 16 | 77 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:14 | yes | 21 | 30 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:19 | yes | 4 | 12 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:45 | yes | 21 | 26 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
Workday read as Workday Recruiting
Unresolved, counted raw
Bullseye
Google Appointment Schedulers (Google Calendar, Microsoft Bookings)
Google Appointments
HubSpot tMeeting Scheduler
LinkedIn's free tools
Meetergo
RiceBowl
Discontinued, still offered
No shut-down product was recommended here.