FaceKit | 3D Face Analysis, $20K MRR: guided daily facial routines

FaceKit | 3D Face Analysis is an app for facial analysis, training, skincare routines, and progress tracking. Its $20K MRR is verified through the payment provider's API by TrustMRR (Superwall), as of September 30, 2026.

What it actually sells

FaceKit | 3D Face Analysis delivers real-time 3D facial analysis, personalized feedback, and progress tracking for facial presence, facial structure, skin, and skincare routines. “FaceKit helps you track, train, and improve your facial presence in real time.”

It uses the device's TrueDepth camera to create a real-time 3D map of the face. Its guided daily routines combine workouts and skincare: “FaceKit turns your weakest metrics into a guided daily routine.”

How it charges

FaceKit is free to download on the App Store. The site advertises 75% off with $75 FaceKit credit and displays: “Get FaceKit 75% off You’ve got $75 FaceKit credit.” The stated download price is free, and the advertised credit is $75.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

Month	Revenue (USD)
2025-12	$0
2026-01	$19,089
2026-02	$54,261
2026-03	$45,316
2026-04	$17,151
2026-05	$25,237
2026-06	$20,999
2026-07	$18,829
2026-08	$19,629
2026-09	$24,456

Where customers come from

The app is available through the App Store, and the site includes a FaceKit download call to action. It also includes FaceCard, a shareable summary of facial stats, progress, and key metrics.

What stands out

The site says, “Trusted by 180k+ users.” TrueDepth maps 1,200 points across the face in about 20 seconds, and each scan provides 12 facial metrics. The app also includes scan history, progress tracking, projected potential, and AI Face Coach feedback.

From the official site

FaceKit helps you track, train, and improve your facial presence in real time.

FaceKit turns your weakest metrics into a guided daily routine.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

FaceKit | 3D Face Analysis's $20K MRR is higher than 96% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Health & Fitness” category (505 projects) it is higher than 98% (category median $96). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

In my view, demand would come from people focused on facial presence, facial structure, skin, and skincare routines. The buyer is the person using the app, and visible distribution would come through the App Store, a download call to action, and shareable FaceCards.

In my view, this needs real work across camera-based measurement, guidance, progress tracking, and mobile distribution. Privacy and health claims add regulatory questions, device compatibility limits the hardware surface, and customer support must cover scan and feedback issues. Competition would include apps serving facial analysis, training, skincare, and progress tracking.

Verdict: Needs real work.

One thing to take from it

In my view, the useful lesson is to connect measurement with a specific daily action: FaceKit pairs real-time 3D facial mapping with guided workouts, skincare routines, feedback, scan history, and progress tracking.

Sources

FaceKit | 3D Face Analysis official website, fetched October 1, 2026
FaceKit | 3D Face Analysis pricing page, fetched October 1, 2026
TrustMRR: revenue verified through the payment provider's API by TrustMRR (Superwall), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure