62
BU Score
Solid
Evolution
✍️ bumetric analysis
“
Evolution is an Android app from Keiwan Donyagard in the Simulation category, currently rated 4.1★ across 18,354 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Our BU Score puts it at 62: Solid (established niche player). For a Simulation app, that means established niche player.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
📊 Performance Tracking LIVE
Loading…
Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
Range:
💰 Forecast Revenue / mo
MODELRevenue 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:
| Mid install base (18,354 ratings)METRIC | +$5,500 | |
| Mature app (9y old)METRIC | +$1,500 | |
| Good rating (4.1★)METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🗓️ Snapshot Timeline
HISTORYEach bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →🔖 v4.0.5🔄 updated 7mo ago📂 Simulation💰 Free🚀 Launched 2017 (9y old)
📝 About this app
Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of a neural network and a genetic algorithm can enable your creatures to "learn" and improve at their given tasks all on their own.
The tasks include running, jumping and climbing. Can you build the ultimate creature that is good at all of the tasks?
Note: If you experience some lag you might be able to improve the fps by lowering the population size in the start menu.
For more information on how the algorithm works behind the scenes and everything else you might be interested in click on the "?" button in the creature building scene.
The tasks include running, jumping and climbing. Can you build the ultimate creature that is good at all of the tasks?
Note: If you experience some lag you might be able to improve the fps by lowering the population size in the start menu.
For more information on how the algorithm works behind the scenes and everything else you might be interested in click on the "?" button in the creature building scene.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Evolution
- Developer
- Keiwan Donyagard
- Bundle ID
- com.keiwando.Evolution
- App Store URL
- Open in App Store
- Category
- Simulation
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- keiwan.itch.io
- 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
- $655/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- Not found
- About page
- Not found
📈Ratings growth18,354 ratings+17% lifetimeShow 3-year history estimate ▾
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.
More by Keiwan Donyagard
View all →
Full revenue analysis
Read the article-style breakdown for Evolution: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.