What is DankChat's rating?

DankChat is rated 4.3 stars across 1,879 ratings on the Play Store.

DankChat is published by Felix Schmid, launched on Jun 09, 2019.

Where does DankChat rank in its category?

DankChat ranks #9928 of 77127 apps in Entertainment, putting it in the top 12.9% by revenue.

How much does DankChat earn?

Q: How much does DankChat earn?

DankChat earns approximately 433 per month based on bumetric's ML revenue forecast, calibrated against 77127 comparable Android apps in Entertainment.

Android app from Felix Schmid · Entertainment

ML forecast ★ 4.3 · 2K Free

~433/mo

ML revenue forecast. Calibrated against 77127 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 2.44× more than the category median (177/mo).
Ranks #9,928 of 77,127 in Entertainment (top 12.9% by revenue).
Launched Jun 09, 2019 · last updated Mar 13, 2026.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

DankChat's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where DankChat sits in Entertainment

Revenue distribution of 77127 comparable apps. DankChat highlighted.

DankChat vs comparable apps

Revenue trajectory side-by-side. Bold = DankChat, ghosted = peers.

App spec

Version

3.11.11

Last update

Mar 13, 2026

Launched

Jun 09, 2019

Price

Free

Monetization

Free

What DankChat actually does (from store listing)

Chat in multiple channels at once, regardless if the streamers are live or offline, with FrankerFaceZ, BTTV and 7TV emote support built-in!

Comparable Android apps

The five apps in Entertainment with the closest revenue to DankChat. Click any to see its detail page.

App	Revenue	Rating	Ratings
Daddy Messy House Cleaning	433	★ 3.6	761
CatchACharacter	433	★ 1.0	2K
Khmer Som Leg	433	—	0
Shader Mod for Minecraft PE	433	★ 3.3	2K
Argentina TDA TV	433	★ 4.4	2K

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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on DankChat's tracker page for current rating, reviews and snapshot timeline.

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