← AI Recommendation IndexOpen Data · Rolling 4-week window

Gotify vs Uniqush

A fact-by-fact comparison of Gotify and Uniqush — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.

Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026

What AI recommends — by engine

Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.

CLAUDE

Gotify

0.2%

Uniqush

0%

GEMINI

Gotify

0.2%

Uniqush

0.3%

GROK

Gotify

0.6%

Uniqush

0.2%

CHATGPT

Gotify

0.2%

Uniqush

0%

PERPLEXITY

Gotify

0.2%

Uniqush

0%

The facts — sourced & dated

gotify.net

Features

  • push notifications for newly received messagesSource · Verified Sep 5, 2026
  • sending messages via a REST-APISource · Verified Sep 5, 2026
  • subscribing/receiving messages via a web socket connectionSource · Verified Sep 5, 2026
  • managing users, clients and applicationsSource · Verified Sep 5, 2026

Platforms

  • AndroidSource · Verified Sep 5, 2026
  • REST-APISource · Verified Sep 5, 2026
  • WebSource · Verified Sep 5, 2026
uniqush.org

Features

  • One HTTP API for every supported platformSource · Verified Sep 5, 2026
  • Automatic retries on recoverable errorsSource · Verified Sep 5, 2026
  • Wildcard and native multicastSource · Verified Sep 5, 2026
  • A standalone server program dedicated to push notificationsSource · Verified Sep 5, 2026

Platforms

  • UnifiedPushSource · Verified Sep 5, 2026
  • APNs for iOSSource · Verified Sep 5, 2026
  • ADM for Kindle tabletsSource · Verified Sep 5, 2026
  • Web PushSource · Verified Sep 5, 2026
  • FCM for AndroidSource · Verified Sep 5, 2026

Gotify vs Uniqush — FAQ

Does AI recommend Gotify or Uniqush more?

Gotify is recommended more often: it appears in 0.2% of sampled AI answers versus 0.1% for Uniqush, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare Gotify and Uniqush?

Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.

Own one of these products? Claim your profile to keep its facts accurate.

Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.

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