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How Hyperstone Works?

Automated optimization of game parameters using advanced algorithms. The algorithm explores combinations of configuration values to find the setup that maximizes your chosen target metric.

0 — Preparation

Register your app in the Hyperstone Console, define the parameters you want to optimize, and integrate our lightweight SDK.

1 — Player launches game

The session starts and the game client requests a personalized configuration through the SDK.

game icon
Hyperstone

2 — Intelligent Config Assignment

Hyperstone's server-side algorithm intelligently selects the configuration. It balances exploration for discovery with exploitation of proven high-performing combinations.

player config
ad_hp_restoreon
inter_to_reviveon
tutorial_jumps5
checkpoint_hp_restore15
initial_hpon
applied
player

3 — Real-time Event Streaming

As the player engages, the game streams events (revenue, retention, engagement) back to Hyperstone. This data acts as continuous performance feedback for the optimization algorithm.

playing
config
ad_hp_restoreon
inter_to_reviveon
tutorial_jumps5
initial_hpon
player result
arpu $0.38
r1 41%
eng-time 4.2 min
Hyperstone

4 — Real-time Learning

Hyperstone processes every event as immediate feedback. Unlike traditional analytics that require daily batches, our optimization models learn and react in milliseconds.

pareto frontier r1 arpu
correlation matrix
arpu
r1
eng
arpu
1.00
0.82
0.11
r1
0.82
1.00
0.06
eng
0.11
0.06
1.00
Hyperstone

5 — Hidden Pattern Discovery

The system identifies non-obvious correlations between game parameters and player behavior, discovering which combinations work best for specific segments or regions.

1,247 configs analyzed
# config arpu r1 eng-time
1 cfg_0041 $0.52 44% 5.1 min
2 cfg_0189 $0.47 40% 5.0 min
3 cfg_0822 $0.38 35% 4.9 min
cfg_1247 $0.11 18% 5.2 min
arpu r1 correlated
eng-time independent
Hyperstone

6 — Closed-Loop Automation

The loop closes autonomously. The system applies its new knowledge instantly, ensuring every subsequent user receives an increasingly refined and optimal experience.

best config package
ad_hp_restore on best+12%
inter_to_revive on best+8%
tutorial_jumps 3 best+21%
checkpoint_hp_restore 10 avg±3%
initial_hp on best+17%

7 — Autonomous Revenue Growth

The process is fully automated. Your game economy improves 24/7, freeing your team from manual A/B testing to focus on building great content.

+14% +22% +9% +31% +18%

Common use cases

Bundle contents optimization

Evaluate hundreds of bundle combinations per user segment to find the highest-converting price-to-value ratio for every region. Hyperstone automatically tests currency amounts, booster packs, and discount tiers to maximize IAP revenue.

See examples
Bundle contents optimization Ad placement & frequency optimization Difficulty & flow balancing Onboarding flow optimization Regional IAP pricing optimization Seasonal event parameterization

The Technology Behind the Growth

A high-precision optimization engine powered by machine learning and rigorous statistical analysis.

Data Isolation

We use exclusively your product's real-time data to drive optimizations. Every environment is isolated, ensuring your models are tailored to your specific audience without cross-client interference.

Adaptive Learning

Our system evolves with your growth. As more player data flows in, the algorithms automatically refine their precision, uncovering deeper behavioral patterns and more accurate optimizations.

Hypothesis-Driven

Empower your product vision with automation. You define the goals and hypotheses; we handle the computational heavy lifting to find the winning parameter combinations faster.

Mathematical Rigor

Eliminate guesswork with a statistical approach. We convert raw user interactions into actionable models based on proven mathematical methods to guarantee reliable results.

Hyperstone
your
game

Seamless Integration

Hyperstone fits perfectly into your existing development workflow. Connect with the tools you already use.

Data Safety

Your data security is our top priority. We've built Hyperstone with privacy-by-design principles to ensure your business intelligence remains solely yours.

No PII Collected

Hyperstone collects no personally identifiable information, advertising identifiers (IDFA/GAID), or device IDs.

Anonymized by Design

IP addresses are anonymized before processing. All data is encrypted in transit and never shared with third parties.

The Right to Forget

Delete your data anytime from the console. User data is automatically purged after 7 days of inactivity.

Global Compliance

Built to comply with GDPR, Apple App Privacy, and Google Play Data Safety requirements.

Compare methods

A/B vs Hyperstone

Our ML-powered system tests multiple configurations simultaneously, finding optimal combinations faster and more efficiently. In this demo try to earn more revenue than Hyperstone. Its not rigged, we promise.

Game Settings

1 1000

Baseline Configuration (A)

Start levels without ads: 5
Ads cooldown: 60s
IAP NO ADS price: $0.99
Ad revenue: $0.03

A/B Test Method

1% 100%

Variant B

Hyperstone

Top 10 configurations by revenue:
Total AD/u IAP/u Users Lvls CD Price
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
$0 $0 $0 0 - - -
The large numbers in the table represent the estimated revenue generated by each configuration over a 30-day testing period. Each row represents a specific configuration and the number reflects the potential revenue generated by that configuration based on the simulation of thousands of players.

A/B Test Results

Total Revenue: 0
Variant A Revenue: $0
Variant B Revenue: $0
⚠️ Users stay in assigned variants even if one performs poorly

Hyperstone Results

Total Revenue: $0
✓ Dynamically allocates users to best-performing configurations

Stop guessing. Start personalizing.

A/B testing is for proving a hypothesis. Hyperstone is for maximizing your revenue.

Feature Hyperstone A/B Testing
Statistical Significance Tracking
Both methods use rigorous mathematical models to ensure results are not due to random chance.
User Segmentation (Geo, OS, Version)
Standard capability to target specific groups of players based on their device or location metadata.
Remote Dynamic Configuration
Update game parameters instantly without requiring a new App Store or Google Play submission.
Simultaneous Parameter Testing
Hyperstone tests hundreds of parameter combinations at the same time. Traditional A/B is typically limited to a handful of fixed variants.
Per-user Personalization
Each player receives an individually optimized configuration. A/B testing applies the same winning variant to every user in a segment.
Automated 24/7 Retraining
Models adapt instantly to seasonality or market shifts, whereas A/B results can become stale once the test concludes.
Autonomous Discovery & Rollout
Hyperstone automatically identifies and scales winning configurations. A/B testing requires manual analysis and human intervention to "pick a winner."
Contextual Intelligence
Hyperstone identifies non-obvious correlations between parameters and player behavior. A/B testing assumes a "one-size-fits-all" optimum for the average user.

Use A/B testing to prove a hypothesis. Use Hyperstone to maximize your revenue.

Ready to Scale Your Revenue?

Join leading studios using ML-powered optimizations to increase LTV and player retention.

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