Cake Equity vs Shareworks
Zero of twelve models named Cake Equity first on the direct prompt; one named Shareworks. Cake Equity was named by eleven of the twelve models and Shareworks by ten and Cake Equity carries 38 labels and Shareworks 26, 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 cap table management page.
By framing
Cake EquityFirst choices, of twelve modelsShareworks
Across every category in the September 2026 Edition, Cake Equity and Shareworks were named in the same answer thirty-one times, of the 94 answers naming Cake Equity and the 89 naming Shareworks. In those answers Shareworks took the first choice three times and Cake Equity one.
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 | | | |
Cake Equity Shareworks first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cake Equity on the left and Shareworks on the right.The direct prompt
Shareworks first, Cake Equity not the choice
1 of 12 modelsCake Equity was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Cake Equity20%#2 of 6Shareworks0%#– of 6Cake Equity7%#5 of 8Shareworks3%#7 of 8Shareworks20%#2 of 9Cake Equity0%#9 of 9What the models said about Cake Equity
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Qapita (for its global, audit‑ready, mid‑market focus) and Cake Equity (for intuitive UX and transparent pricing) are both strong starting points” GLM 4.7 FlashX · paraphrase prompt · first choice
“The best cap table management software for a company with a limited budget is Cake Equity, which offers a free starting point” Llama 4 Maverick · budget prompt · first choice
“the best cap table management software is usually Cake Equity if you want a free starter tier” Perplexity Sonar · budget prompt · first choice
What the models said about Shareworks
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“treat any enterprise-level platform (Shareworks, Morgan Stanley) as a contract trap for early-stage companies” DeepSeek V4 Flash · negative prompt · hard negative
“and Shareworks, which are overkill and overpriced for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
“### 3. The One to Skip (with a caveat): Shareworks by Morgan Stanley” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Carta or Shareworks are typically the most balanced choices” MiniMax M2.5 · direct prompt · first choice
“Strong for your profile, but quote-only pricing” DeepSeek V4 Flash · scale prompt · first choice
“The gold standard if your company is actively planning an IPO within the next 12 to 24 months... generally considered heavy and slow” Gemini 3.5 Flash · scale prompt · alternative
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.