FISTA Solutions does not load Google Analytics until you accept. Rejecting keeps optional analytics off. Read the Cookie Policy.

Hyper-Casual

Hyper-Casual Game Development

FISTA Solutions builds hyper-casual games and the prototype pipeline behind them: rapid concept production, creative and CPI testing, ads mediation and monetization, and analytics that tell you quickly which concepts to kill and which to scale.

150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

What we build

What does hyper-casual game development include?

Hyper-casual engagements build a reusable prototype framework, produce concepts against it quickly, wire analytics and attribution from the first build, integrate ads mediation, and support the test-and-kill loop that the genre economics require.

  1. 01

    Prototype framework

    A reusable base with analytics, ads, and UI already wired, so each concept starts from a tested foundation.

    Pipeline
  2. 02

    Rapid concept production

    Playable concepts produced in days rather than weeks, focused on the core mechanic only.

    Speed
  3. 03

    Creative and CPI testing

    Creatives and test campaigns set up to produce a clear CPI signal on each concept quickly.

    Testing
  4. 04

    Ads and monetization

    Mediation, rewarded placements, and interstitial pacing tuned against retention rather than just revenue per session.

    Revenue
  5. 05

    Analytics and decisions

    Retention, session, and CPI reporting framed to support kill-or-scale decisions rather than vanity metrics.

    Data

Requirements

Which requirements shape hyper-casual game development?

Hyper-casual is a testing business more than a development one. Requirements centre on speed to testable build, clean CPI signal, monetization that does not destroy retention, and the discipline to kill concepts quickly.

Hyper-Casual: requirements and how FISTA Solutions builds to them
RequirementWhy it mattersHow FISTA builds to it
Speed to testSlow prototypes kill the economics.Reusable framework with analytics and ads pre-wired, so a concept reaches a testable build in days.
Signal qualityBad tests waste budget and mislead.Consistent test setup, adequate spend per concept, and clear thresholds agreed before testing starts.
Retention and monetization balanceAggressive ads destroy the retention that funds them.Ad pacing tuned against retention cohorts, not only against revenue per session.
Kill disciplineSunk cost keeps bad concepts alive.Thresholds agreed in advance, with concepts killed on data rather than on attachment.
Store complianceAd-heavy games attract store scrutiny.Ad implementation and privacy declarations reviewed against store rules before submission.

Where AI fits

Where does AI fit in hyper-casual game development?

AI fits hyper-casual in concept and creative volume: generating mechanic variations for testing, producing creative variants at the volume CPI testing needs, and summarizing test results into clear kill-or-scale recommendations.

  1. 01

    Mechanic variation

    Variations on a core mechanic generated quickly for testing rather than designed one at a time.

  2. 02

    Creative variants

    Ad creative variants produced at the volume CPI testing consumes, reviewed before spend.

  3. 03

    Test result analysis

    Cohort and CPI data summarized into clear recommendations with the underlying numbers attached.

  4. 04

    Asset production

    Placeholder and production asset generation to keep prototype speed high.

Cost and timeline

How much does hyper-casual game development cost, and how long does it take?

Cost is driven by prototype volume rather than by any single game; timeline by test cycles. FISTA does not quote blind: the scoping call returns a pipeline plan and a per-prototype estimate.

Price the pipeline, not the game. Hyper-casual economics depend on producing and testing many concepts cheaply, so FISTA builds the reusable framework first and then quotes per prototype.

Media spend for testing is a separate budget from development and often larger. Planning both together is what keeps the model viable.

Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.

Get a scoped quote

Delivery

How does FISTA deliver a game?

FISTA delivers games in four phases: pre-production that turns the concept into a design document, technical plan, and estimate; a vertical slice that proves the core loop and pipeline; full production in sprints with playtesting and automated builds; and a launch with LiveOps tooling, analytics, and post-launch content cadence.

  1. 1

    Pre-production

    Concept review, game design document, technical design, engine decision, art bible, and a phased production estimate.

    Output

    GDD, technical plan, estimate

  2. 2

    Vertical slice

    One polished slice of the core loop with real art, tuned feel, and the build pipeline proven end to end.

    Output

    Playable slice, validated pipeline

  3. 3

    Production

    Sprint-based feature and content delivery, playtests, performance budgets per platform, and automated builds to test tracks.

    Output

    Feature-complete builds

  4. 4

    Launch and LiveOps

    Store submission, soft launch metrics, LiveOps tooling, analytics, and a content and events cadence.

    Output

    Live game with LiveOps stack

Why FISTA

Why choose FISTA Solutions for hyper-casual game development?

FISTA builds the prototype pipeline that makes hyper-casual economics work, with analytics wired from build one and kill thresholds agreed before testing. Work is contracted through a US entity with full IP assignment.

Hyper-Casual specifics

  • A reusable framework with analytics, ads, and UI pre-wired gets each concept to a testable build in days.
  • Test setup and spend thresholds are agreed in advance, so decisions rest on comparable signal.
  • Ad pacing is tuned against retention cohorts rather than only against revenue per session.
  • Concepts are killed on data against agreed thresholds rather than on attachment to a favourite idea.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What studios and publishers ask first.

Straightforward guidance for evaluating scope, fit, and the next step.

01How many prototypes should we test?

Enough for the hit rate to work, which is typically many per success. That is why FISTA builds the reusable pipeline first and quotes per prototype rather than pricing a single game.

02How do you test a concept?

With creatives and a small paid campaign producing a clear CPI signal, plus early retention data from the build, against thresholds agreed before spend begins.

03Does aggressive advertising hurt the game?

Yes, if unmanaged. Ad pacing is tuned against retention cohorts because retention is what funds impressions, and revenue per session alone is a misleading target.

04Can AI generate the concepts?

It can generate mechanic and creative variations at useful volume, which suits a testing model. Selection and design judgment remain human, informed by the test data.

05How fast can a prototype reach testing?

Days rather than weeks once the framework exists, which is why the framework is built before the first concept rather than alongside it.

Scoped in writing before you commit

Build the pipeline, then find the hit.

Bring your concepts or your test budget. The scoping call returns a pipeline plan, testing thresholds, and a per-prototype estimate.