How much does Dope Fit make per month?

Low-confidence model estimate. Dope Fit has only 1 App Store rating, so our revenue model has very little signal to work with — treat the ~$27K/mo figure as directional only, not a verified MRR. No founder-verified revenue data is available for this app. See methodology for the formula and confidence bands.

What apps are like Dope Fit?

Browse the full Shopping category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.

What is Dope Fit built with?

Our heuristic places Dope Fit on the Native iOS (Swift / UIKit) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Native iOS (SwiftUI).

Is Dope Fit still actively maintained?

Maintenance status: Active (15% abandonment risk). Last shipped version was 2 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.

When was Dope Fit last updated?

Dope Fit last shipped a new version on 2026-03-04 — 2 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.

Dope Fit is published by Omar Hammad on the Apple App Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.

What is Dope Fit's BU Score?

Dope Fit has a BU Score of 60/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.

Quality Score

Solid

Dope Fit: Virtual Try-On

Name: Dope Fit: Virtual Try-On — app revenue, audience, build cost & risk profile
Creator: bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Dope Fit: Virtual Try-On revenue, Dope Fit: Virtual Try-On app analytics, mobile app revenue estimate, Shopping revenue, iOS app revenue

Low confidence

5.0 ✍️ Editor

Shopping

✍️ bumetric analysis

“

Dope Fit: Virtual Try-On is an iOS app from Omar Hammad in the Shopping category, currently rated 5.0★ across 1 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Quality Score is 60: Solid (established niche player). For a Shopping app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.

💰 Monthly revenue · now vs forecast

● Right now

$58

per month

→

12-mo forecast

$29 – $275

per month

→

24-mo forecast

$29 – $823

per month

MICRO tier

💡 Grow this revenue

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Title & subtitle keyword fit
Description hook & conversion structure
Screenshots, ratings, reviews strategy

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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

Loading…

idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

ONE-TIME · BUILD💰 Estimated build cost

$65K

↳ What it cost to build · not monthly revenue

Likely range $50K – $90K

$25K · MVP floor$100K · indie scale$500K+ · studio build

📈Pays back in ~2 months at current MRR

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes

🧱MVP baseline (design + 1-store ship)	+$28K
📱5 unique screens × $4.5K	+$22K
⚙Shopping complexity ×1.30	+$15K

Total estimate$65K

ONE-TIME · EXIT VALUE💵 Estimated acquisition value

$450K

↳ What it would sell for · not monthly revenue

Marketplace range $325K – $600K · 16× MRR multiple

💸~6.9× return on build cost

Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built

📺Ad-supported base	15× MRR
⭐★ rating ≥ 4.7 (premium)	+15%
🏷Shopping category multiple	+2%
⭐Small user base (<1K ratings)	-8%

Final multiple16× MRR

🛠 Estimated tech stack

🍎

Native iOS (Swift / UIKit)

High confidence · 80%

Also possible

Native iOS (SwiftUI)

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.

Signals we read

🏷Category context	Shopping
📦Compact iOS bundle	→ Native Swift / UIKit (pre-2020 era)

💀 Maintenance status

Active

15%

Last shipped 2026-03-04 · 81 days ago

0 · Active50 · At risk100 · Abandoned

Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.

Risk signals

📅81 days since last update

Healthy release cadence

VerdictActive

🔬

How we forecast this revenue

LOW CONFIDENCE

Baseline

$58/mo · ML-estimated from 234 triggers

Growth rate

+8.0% MoM · MICRO tier baseline (compound monthly)

Direction

Headwinds: rating drift may slow acquisition, low defensibility moat

6 months

$37 – $150

12 months

$29 – $275

24 months

$29 – $823

Compound growth at +8.0% MoM (tier baseline for MICRO). Range widens with horizon — typical noise band ±60% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.

📊

BU Investment Matrix

Insufficient data · 37/100MICRO TIERtoo early to score

Revenue Strength

1.8

Product Quality

4.0

Market Position

0.0

Growth Velocity

5.0

Defensibility

2.0

Operational Safety

10.0

Founder Strength

5.4

Monetization Maturity

1.0

💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
⭐ Quality: 5.0★ across 1 reviews — weak — significant quality concerns.
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: Insufficient signal to assess trajectory.
⚠️ Risk: Low — no material risk signals detected.

🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.

💵 For acquirers: Estimated asking range 18-32× monthly = $1K-$1K. Portfolio play ($27K/mo combined) commands premium.

Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.

Range:

💰 Forecast Revenue / mo

MODEL

Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.

🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers

Our ML model uses 200+ signals from public data. These are the most influential for this app:

subscriptionREVIEW		+$2,500
premiumREVIEW		+$2,200
Excellent rating (5.0★)METRIC		+$2,200
Ad-supported / freemiumMETRIC		+$600
Pre-traction phase (1 ratings)METRIC		−$300

METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📥 Estimated Downloads / week

PROXY · ratings × 50/wk —

Industry-rule estimate (Sensor Tower / data.ai): one weekly install ≈ 50 new ratings. Solid points = tracked snapshots · faded line = pre-tracking model backfill.

📈 Reviews Growth

LIVE

Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE

Average rating evolution. Updates with each new review batch.

🗓️ Snapshot Timeline

HISTORY

Each bar shows a tracked update and the metric delta from the previous snapshot.

App Specs

🔐 Own this app? Claim & verify MRR →

🔄 updated 2mo ago📂 Shopping💰 Paid

📝 About this app

See how clothes look on you before you buy. Dope Fit is a virtual try-on app that uses your photo and AI so you can try on outfits from your favorite brands in seconds — no guessing, no returns.

HOW IT WORKS
• Add one full-body photo of yourself (camera or gallery)
• Browse brands and pick clothes you like
• Tap Generate and see the outfit on you with AI
• Save looks to your list, share, or shop the item

WHY DOPE FIT
• Free to start — try virtual try-on with no commitment
• Real brands and real products you can buy
• Private and secure — your photo is only used for your try-ons… View full description on the official store →

🔔

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Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name: Dope Fit: Virtual Try-On
Developer: Omar Hammad
Bundle ID: Not found
App Store URL: Not found
Category: Shopping
Content rating: Not found
Languages: Not found

Company

Website: Not found
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Verified revenue / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
ML model estimate / mo: $27.1K/mo
Top-grossing rank: Not found
All-time revenue: Not found
Pricing: Not found

Founder

Founder data not yet collected for this app.

Funding

Funding data not yet collected for this app.

Press & Links

Press & Links data not yet collected for this app.

Contacts & Socials

Contacts & Socials data not yet collected for this app.

🌍Geographic ReachNot ranked

This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.

Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.