projects/mirage-detect-image-editing
Artificial Intelligence#1360 BY REVENUE FOR SALE
Mirage — Detect Image Editing

Mirage — Detect Image Editing

· via revenuecat
$621
Revenue · 30d
$7K
Total lifetime
$7K
Est. ARR
97%
Profit margin
Revenue trend
JUN 19
start
JUN 22
JUN 29
16.3%
JUL 6
11.9%
JUL 13
unchanged
JUL 20
unchanged
JUL 27
next
no change recorded across the last 3 snapshots · figure may be stale at the source
https://apps.apple.com/app/id1514780035
Mirage — Detect Image Editing
REVENUE VERIFIED
Top ranked
This project is for sale
$50K
Asking price
6.7x
Annual revenue
$621
Revenue · 30d
View listing

About Mirage — Detect Image Editing

Mirage is an image editing detection app designed for iPhone that utilizes advanced machine learning to identify which parts of an image have been edited. The app offers features that allow users to detect and undo edits, compare images, and view details in a single interface. Notably, it requires that a face is present in the picture for accurate detection. Additionally, users can change hairstyles and add layers to images, while the app remains completely ad-free.

The app is targeted towards individuals interested in verifying the authenticity of images, particularly in contexts where image…

VibeCrowd AI
Investment companion
AI analysis
Lean, revenue-stage AI tool that detects and reverses image edits with very high unit economics but steep recent contraction: $621 in the last 30 days, $869 MRR, -44% growth and 97% margin — currently listed for sale.

Mirage is a focused ML play in image-forensics: it identifies and attempts to reverse image alterations. The numbers show a software-native cost profile — extremely high margin — and a live recurring revenue stream, but scale is small. The revenue and MRR suggest paying customers exist, yet the business shrank noticeably over the last 30 days.

That recent -44% decline is the most immediate red flag: it could reflect churn, pricing pressure, a pause in sales activity, or seasonal effects. Being listed for sale amplifies that signal (could be opportunity for a buyer or a sign of stall). With tight revenue scale, whoever operates or acquires this needs a clear, low-cost path to reaccelerate acquisition and retention.

Strengths

97% margin implies very low variable costs and efficient unit economics for each sale
$869 indicates recurring revenue rather than one-off transactions
Clear technical niche — detecting and reversing image edits — which maps to media integrity and forensics needs
Listed for sale could enable an acquirer to move quickly on IP and existing recurring revenue

What to watch

-44% contraction is a material short-term risk; understand churn and sales pipeline drivers
$621 scale is small, so operational shocks or customer loss would be meaningful
Listed-for-sale status can mean either an acquisition bargain or underlying business/market challenges — dig into reasons
Need to validate customer acquisition costs and retention before assuming repeatable growth

Best suited for

Media verification or digital forensics teams seeking a focused tool to surface altered images
Small security/brand-protection teams that can use a SaaS-style, high-margin detector
Buyers looking for a compact, revenue-generating AI asset to operate, integrate, or relaunch

A judgment from project data — not a user review.

Generated by VibeCrowd AI from on-platform data·not financial advice·Jul 2026

Traffic & economics

97%
Profit margin · 30d

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