Hubstaff vs Teramind
Zero of fourteen models named Hubstaff first on the direct prompt; zero named Teramind. Both were named by all fourteen models and Hubstaff carries 44 labels and Teramind 48, so the shares are not directly comparable.
Named in seven categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 employee monitoring page.
By framing
HubstaffFirst choices, of fourteen modelsTeramind
Across every category in the October 2026 Edition, Hubstaff and Teramind were named in the same answer ninety-four times, of the 163 answers naming Hubstaff and the 136 naming Teramind. In those answers Teramind took the first choice eighteen times and Hubstaff fifteen.
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 | | | ||||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | |
Hubstaff Teramind first choice named as an alternative argued againstblank: not namedEach cell is one answer, Hubstaff on the left and Teramind on the right.The direct prompt
Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 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
Hubstaff23%#1 of 10Teramind0%#10 of 10Teramind26%#1 of 8Hubstaff10%#4 of 8What the models said about Hubstaff
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Frequently cited in privacy complaints for requiring installation on work devices with tracking capabilities” GLM 4.7 FlashX · negative prompt · hard negative
“If your budget is tight, Hubstaff is probably the best starting point for most small and mid-sized companies.” GPT-5.4 mini · budget prompt · first choice
“If you want the best overall value on a limited budget, pick Hubstaff.” Perplexity Sonar · budget prompt · first choice
“### 1. Hubstaff - Best for: Time tracking and payroll integration” MiniMax M2.5 · comparative prompt · first choice
What the models said about Teramind
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Frequently cited in controversies, including a 2024-2026 lawsuit by MindsEye (Build a Rocket Boy) employees and the IWGB union.” Grok 4.1 Fast · negative prompt · hard negative
“Records video of user activity, keystrokes, email, and app usage; flagged as "overkill" surveillance that can damage trust” GLM 4.7 FlashX · negative prompt · hard negative
“Hidden/stealth deployment, keystroke logging, video recording, tamper-proof installation marketed as "invisible"” Kimi K2 · negative prompt · hard negative
“1. Teramind - an employee management software that tracks what people do during work hours to measure productivity and identify potential problems.” Llama 4 Maverick · paraphrase prompt · first choice
“Teramind - Best for security, compliance, and regulated industries (e.g., finance, healthcare).” Grok 4.1 Fast · comparative prompt · first choice
“Shortlist 3–5 Tools: From above (e.g., Teramind for security, Hubstaff for simplicity).” Grok 4.1 Fast · 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.