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Index › Products › Caddy · October 2026 Edition
2 categories · Named, not ranked

Caddy

17Judge labels
1First choices
0Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Caddy was named 3 times in Load balancers and 1 other category, where HAProxy led with 29%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In load balancers · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Caddy for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Load balancersNetwork and edge0%30 of 940%2under 10 labels · led by HAProxy at 29%
Certificate lifecycle managementIdentity and access0%73 of 1040%1under 10 labels · led by Sectigo Certificate Manager at 27%

Movement

This is the first edition on this tier, so no move can be computed for Caddy yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Caddy across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase2 labelsNone
Comparative8 labels2not counted in share
Budget-constrained5 labels1
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 1 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Best For: Small teams or individuals who want a "set-it-and-forget-it" solution” Qwen 3.7 Flash · Load balancers · budget prompt · alternative
“Easiest config of all, automatic HTTPS” DeepSeek V4 Flash · Load balancers · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Caddy, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Caddy was named but was not.
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ProductSame answerTook the first choice insteadHead to head
NGINX14 of 173Not among the top eight
HAProxy11 of 173Not among the top eight
Traefik11 of 171Not among the top eight
DigitalOcean Load Balancers5 of 171Not among the top eight
Cloudflare Load Balancing4 of 172Not among the top eight
Amazon API Gateway3 of 171Not among the top eight
AWS ALB3 of 170Not among the top eight
Google Cloud Load Balancing3 of 170Not among the top eight
Kemp LoadMaster3 of 170Not among the top eight
Traefik Hub2 of 172Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Caddy. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 17 of the 17 answers that named Caddy and are not a share of its labels.

Search and answers

Where Caddy stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
49,500 a month (“caddy”)
AI search demand for its name, est.
32,922 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 30 of 94 in load balancers
Segment leader
29%
HAProxy
First choices
1 across its categories
Named in
17 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Caddy

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Caddy's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Caddy, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Caddy by email, built from the raw record of the edition. It shows:

  • where Caddy is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Caddy, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.