Pulley vs Ledgy
One of twelve models named Pulley first on the direct prompt; zero named Ledgy. Both were named by all twelve models and Pulley carries 56 labels and Ledgy 36, so the shares are not directly comparable.
Named in three categories this edition.
Named in two categories 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
PulleyFirst choices, of twelve modelsLedgy
Across every category in the September 2026 Edition, Pulley and Ledgy were named in the same answer eighty-five times, of the 168 answers naming Pulley and the 104 naming Ledgy. In those answers Ledgy took the first choice two times and Pulley eighteen.
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 | | | | | |
Pulley Ledgy first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pulley on the left and Ledgy on the right.The direct prompt
Pulley first, Ledgy not the choice
1 of 12 modelsLedgy was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 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
What the models said about Pulley
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“When to avoid: Immediately if considering now—migrate risks data loss or disruption... obsolete.” Grok 4.1 Fast · negative prompt · hard negative
“you should avoid Pulley and look at the following highly rated, cost-effective alternatives” Gemini 3.5 Flash · budget prompt · hard negative
“A notable alternative, but Pulley is now shutting down (announced September 2026)” MiniMax M2.5 · negative prompt · hard negative
“Stick with well-reviewed, scalable platforms like Pulley, AngelList Equity, or Cake Equity for early-stage companies.” Mistral Small · negative prompt · first choice
“### 1. The Modern Disruptor: Pulley ... *Long-term Private/Hypergrowth?* Go with Pulley (best efficiency/UX).” Qwen 3.7 Flash · paraphrase prompt · first choice
“Pulley = best modeling and affordability for early founders, but less institutional weight.” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Ledgy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid for tight budgets: ... Ledgy (€900/year+)” Grok 4.1 Fast · budget prompt · hard negative
“many reviews note that its scenario modeling lacks depth for complex liquidation preferences” DeepSeek V4 Flash · negative prompt · soft negative
“I'd suggest Carta if you're in the US or Ledgy if you're international/European” MiniMax M2.5 · paraphrase prompt · first choice
“Shortlist 3 (e.g., Carta, Pulley, Ledgy) based on your geography/ESOP needs.” Grok 4.1 Fast · scale prompt · first choice
“If your company is headquartered in Europe, the UK, or APAC, these platforms are highly competitive” 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.