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SelfEmot : Look Into Photos

0
Quality Score
Niche

SelfEmot : Look Into Photos

Low confidence
— Google Play rating
✍️ Bumetric analysis
“

SelfEmot : Look Into Photos is an Android app from Sujal Kumar in the Entertainment category, currently rated — across few ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 0: Niche (micro-niche or pre-traction stage). For a Entertainment app, that means micro-niche or pre-traction stage. 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
$139
per month
→
12-mo forecast
$70 – $648
per month
→
24-mo forecast
$70 – $1941
per month
MICRO tier
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📊 Performance Tracking LIVE

1 snapshots on record
idle
0%
Rating
—
Reviews
0 reviews
Forecast Revenue / mo
$139
Snapshots tracked
1
since Sep 2026
ONE-TIME · BUILD 💰 Estimated build cost
$150K
↳ What it cost to build · not monthly revenue
Likely range $110K – $200K
$25K · MVP floor $100K · indie scale $500K+ · studio build
📈 Slow ROI — current MRR is well below build cost

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
⚙ Entertainment complexity ×1.30 +$15K
🌐 Cross-platform reach (iOS + Android) +$36K
⚙ 7.8y maintenance × ~1-person team +$46K
Total estimate $150K
🛠 Estimated tech stack
🤖
Native Android (Kotlin)
High confidence · 80%
Also possible
Flutter

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 Entertainment
📦 Compact Android bundle → Native Kotlin
🔬

How we forecast this revenue

LOW CONFIDENCE
Baseline
$139/mo · ML-estimated from 234 triggers
Growth rate
+8.0% MoM · MICRO tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition
6 months
$88 – $353
12 months
$70 – $648
24 months
$70 – $1.9K
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 · 33/100MICRO TIERtoo early to score
RevenueQualityMarketGrowthMoatSafetyFounderMonetiz.
Revenue Strength
2.1
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
5.5
Operational Safety
10.0
Founder Strength
2.8
Monetization Maturity
1.0
  • 💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
  • ⭐ Quality: None★ across 0 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 = $2K-$4K.
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.

📈 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.

Profile & Insights

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

Identification

App name
SelfEmot : Look Into Photos
Developer
Sujal Kumar
Bundle ID
com.Sujal_Industries.SelfEmot
App Store URL
Open in App Store
Category
Entertainment
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

Reported revenue signal / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
Model estimate / mo
$139/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.
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.

📝 About this app

SelfEmot is an easy to use and the fastest photo scanner along with a quick photo detector that lets you have fun all the time with it's fast and accurate service.

With the fastest and smartest,SelfEmot, you will never get bored either you are at home or somewhere else.

You just have to do a single click and then take a quick photo or portrait and the rest will be done automatically by SelfEmot with its faster and flexible processing of images and photos.

Primary Features:-

• Find Emotions:-
Every image or portrait carries some kind of
emotion in it.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 vVaries with device📂 Entertainment💰 Free🚀 Launched 2019 (7y old)
🔔

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📝 Description

95
BU Score · Transcendent

More by Sujal Kumar

View all →
📦 Portfolio summaryINDIE studio
2apps·$253/mocombined
Lead-app heavy — top app contributes 55%

Similar apps in Entertainment

About this analysis
ZCAnalyzed by Zakhar Chumak · founder, Bumetric·Full methodology·Low confidence

Why low confidence: only 0 ratings · no founder-verified revenue (model estimate only) · revenue figure is directional only.

📌 Final verdict — read this before you trust the numbers above

SelfEmot : Look Into Photos is a very early-stage Android app in the entertainment space with weak public traction — only 0 ratings, no founder-verified MRR, and not ranked in any monitored grossing chart. The app appears to be monetised, but public signals are too sparse for a precise revenue estimate.

Bottom line: treat all revenue, audience and acquisition-value numbers on this page as directional only — not founder-verified facts.

❓ Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does SelfEmot make per month?▴
Low-confidence model estimate. SelfEmot has only 0 App Store ratings, so our revenue model has very little signal to work with — treat the ~$139/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 SelfEmot?▴
Browse the full Entertainment 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 SelfEmot built with?▴
Our heuristic places SelfEmot on the Native Android (Kotlin) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.
Who makes SelfEmot?▴
SelfEmot is published by Sujal Kumar on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.