Index › IT › Products › Errbit · November 2026 Edition
Error and crash monitoring · Named, not ranked

Errbit

–Too few to rank
3/14Models named it
0First choices
2Warnings
November 2026 Edition · all company sizes counted.
Ranked inError and crash monitoring #43 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Errbit has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Abandoned Open-Source Exception Trackers (e.g., old Errbit forks or dormant GitHub repos)”Gemini 3.5 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as Errbit, over the 3 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Errbit came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 3 of the 3 answers that named Errbit and are not a share of its labels.

Domains cited

drdroid.io2
appaloosa.io1
appcenter.ms1
blog.sentry.io1
bugsink.com1
docs.honeybadger.io1
dupple.com1
freetier.co1
gane.ai/indexpublisher (Gane)1
geekflare.com1

No domain is on file for Errbit, so its own site is not marked. One was to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Errbit across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000