Learn Baccarat

55
Learn Baccarat is an Android app from dodd.tech in the Casino category, currently rated 4.3★ across 227 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 55: Solid (established niche player). For a Casino 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.
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
📊 Performance Tracking LIVE
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.
| 🧱 MVP baseline (design + 1-store ship) | +$28K |
| 📱 5 unique screens × $4.5K | +$22K |
| ⚙ Casino complexity ×1.80 | +$40K |
| 🌐 Cross-platform reach (iOS + Android) | +$49K |
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.
| 📲 Casino engagement | ~180 installs / rating |
| 🔁 Casino D30 retention | 15% |
| 📍 DAU / MAU stickiness | 0.40 |
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.
| 🏷 Category context | Casino |
| 📦 Tiny game bundle | → Native 2D engine |
How we forecast this revenue
LOW CONFIDENCEBU Investment Matrix
Early-stage solo · 40/100INDIE TIERexpected for tier- 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
- ⭐ Quality: 4.35★ across 227 reviews — solid.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: ⚠ last update 384d ago — possibly dormant.
- ⚠️ Risk: Moderate — dormant (384d since update).
💰 Forecast Revenue / mo
MODEL| 5 starREVIEW | +$1,800 | |
| Mature app (10y old)METRIC | +$1,500 | |
| Good rating (4.3★)METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Early-stage install base (227 ratings)METRIC | +$400 |
📈 Reviews Growth
LIVE⭐ Rating Trend
LIVEProfile & Insights
Identification
- App name
- Learn Baccarat
- Developer
- dodd.tech
- Bundle ID
- doddtech.net.baccarat
- App Store URL
- Open in App Store
- Category
- Casino
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- dodd.tech
- 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
- $161/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Funding
Press & Links
Contacts & Socials
📈Ratings growth227 ratings+20% lifetimeShow 3-year history estimate ▾
📝 About this app
Learn Baccarat is a completely free, no ads, no limitations, no restrictions, app to help you learn and become better at the game of Baccarat.
Baccarat places the user in the dealer's position giving them all of the same choices a dealer would have that is dealing the game.
The app never runs out of hands to play and allows the user through learning and repetition to understand and become more proficient at the game of Baccarat.… View full description on the official store →
Tech & Domain Intel — dodd.tech
- Mail provider
- Mailgun (transactional)
- Tech stack
- Mailgun
Track this app’s revenue
FREE📝 Description
95
More by dodd.tech
View all →Why medium confidence: 227 ratings · no founder-verified revenue (model estimate only).




