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Slang Cards: Learn English Sla

58
Quality Score
Solid

Slang Cards: Learn English Sla

Medium confidence
4.5 ✍️ Editor
✍️ bumetric analysis

Slang Cards: Learn English Sla is an Android app from Learzing Co in the Education category, currently rated 4.5★ across 414 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 58: Solid (established niche player). For a Education 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
$5.0K
per month
12-mo forecast
$5.2K – $10.8K
per month
24-mo forecast
$6.4K – $19.2K
per month
MID tier
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📊 Performance Tracking LIVE

Loading…
idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
ONE-TIME · BUILD 💰 Estimated build cost
$110K
What it cost to build · not monthly revenue
Likely range $80K – $150K
$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
💎 In-app purchase plumbing +$9K
Education complexity ×1.20 +$11K
🌐 Cross-platform reach (iOS + Android) +$39K
Total estimate $110K
👥 Estimated audience size
35K
Lifetime downloads (US-equivalent)
Monthly active
6.3K
Daily active
1.8K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it
📲 Education engagement ~85 installs / rating
🔁 Education D30 retention 18%
📍 DAU / MAU stickiness 0.30
DAU / MAU 29% sticky
🔬

How we forecast this revenue

MEDIUM CONFIDENCE
Baseline
$5.0K/mo · ML-estimated from 234 triggers
Growth rate
+4.0% MoM · MID tier baseline (compound monthly)
6 months
$4.7K – $7.9K
12 months
$5.2K – $10.8K
24 months
$6.4K – $19.2K
Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊

BU Investment Matrix

Building · 56/100MID TIERcompetitive build-out
RevenueQualityMarketGrowthMoatSafetyFounderMonetiz.
Revenue Strength
3.7
Product Quality
6.3
Market Position
0.0
Growth Velocity
5.0
Defensibility
10.0
Operational Safety
10.0
Founder Strength
5.9
Monetization Maturity
4.0
  • 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 4.52★ across 414 reviews — solid.
  • 📍 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 = $90K-$160K.
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 4 of 4 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
Excellent rating (4.5★)METRIC
+$2,200
Mature app (10y old)METRIC
+$1,500
Ad-supported / freemiumMETRIC
+$600
Early-stage install base (414 ratings)METRIC
+$400
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 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
Slang Cards: Learn English Sla
Developer
Learzing Co
Bundle ID
com.learzing.slangcards
App Store URL
Open in App Store
Category
Education
Content rating
Not found
Languages
Not found

Company

Website
slang-cards.com
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
$360/mo
Top-grossing rank
Not found
All-time revenue
Not found
Pricing
$0.99 - $5.00 per item

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.
📈Ratings growth414 ratings+16% lifetimeShow 3-year history estimate ▾Jul 2023Feb 2025Jul 2026
Tracked (1 weeks) Pre-tracking estimate (37 weeks) · model-based, ±5% noise · anchored to release date and current value
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

Learn English slang in a fun and easy way!

In our app you will find 500 flashcards containing American and British slang words, example sentences, pictures and correct pronunciation.

Every language includes such words or phrases and English is not an exception. Slang language is those cool informal words and phrases which native English speaking people use in their everyday conversations. Usually slang is used amongst friends or colleagues who have the same interests or backgrounds, so you must be sure that people you are speaking with could understand you.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 vVaries with device📂 Education💰 Free💎 IAP $0.99 - $5.00 per item
🔔

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📝 Description

95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Slang Cards: Learn English Sla: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →

More by Learzing Co

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📦 Portfolio summaryINDIE studio
10apps·$2K/mocombined
✓ Diversified — top app contributes 19%; risk spread across portfolio

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About this analysis
ZCAnalyzed by Zakhar Chumak · founder, bumetric·Full methodology·Medium confidence

Why medium confidence: 414 ratings · no founder-verified revenue (model estimate only).

Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does Slang Cards make per month?
Based on our ML-calibrated revenue forecast, Slang Cards earns approximately $359/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.
What apps are like Slang Cards?
Browse the full Education 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.
Who makes Slang Cards?
Slang Cards is published by Learzing Co 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.
What is Slang Cards's BU Score?
Slang Cards has a BU Score of 58/100 (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.