getyear.Start a project

Independent product studio · İstanbul / Worldwide

iOS & AI products,built for trust.

Senior product direction, engineering and release-grade proof for founders and teams facing a difficult build or stalled launch.

01 / SIGNALObserve what matters.
02 / SYSTEMMake the logic clear.
03 / PRODUCTLIVE
Ship the thing people trust.
DirectionDesignBuildProof
07evidence-led
case summaries
PRODUCT STRATEGYEXPERIENCE DESIGNNATIVE iOSAI SYSTEMSPROTOTYPINGQA & LAUNCH

01 / Selected work

Products that made it past the pitch.

Real product screens, working systems and the evidence behind them. Sensitive operational data is redacted; the evidence boundary is explicit.

REAL RELEASE UI / PRODUCTION DATA
TapWar release screen showing a two-choice gameTapWar release result screen showing aggregate voting data
Release simulator captures prepared from real production question and result data.

01 / Social game · Native iOS

TapWar

A fast global choice game became a working product, backend and launch system.

Product direction, native interaction design, aggregate result logic, privacy boundaries, a production API, sharing and App Store presentation were handled as one connected loop.

Proof21/21 tests passed. Five final App Store visuals completed from Release UI.
21/21
tests passed
05
App Store assets
PROD
API data path
  • Product strategy
  • Native iOS
  • Backend
  • Launch system
Read full case study
REAL NATIVE UI / DETERMINISTIC FIXTURES
BodySignal Today screenBodySignal Patterns screenBodySignal Experiments screen
Native product screens captured with synthetic QA fixtures; no personal health data is shown.

02 / Personal evidence · Native iOS

BodySignal

Personal health signals, turned into experiments without manufacturing certainty.

A privacy-first evidence engine, native product system and device QA workflow translate Apple Health signals into prospective sleep experiments while keeping scientific authority out of the interface.

Proof56/56 canonical sleep-product tests passed; the physical Apple Health comparison flow was exercised.
56/56
canonical tests
LOCAL
health intelligence
DEVICE
critical-flow QA
  • Product architecture
  • SwiftUI
  • Evidence systems
  • Device QA
Read full case study
STORE-PRESENTATION CAPTURES / SAFE DEMO MEDIA
YEAR camera roll search screenYEAR video result with jump-to-moment action
Store-presentation captures using safe demo media; distribution remains a separate gate.

03 / Local intelligence · Native iOS

YEAR

Ctrl+F for the camera roll—screenshots and spoken moments included.

On-device OCR, speech indexing, Turkish-aware ranking and timestamp navigation turn selected media into a private search layer, with no product backend or account required.

ProofXCTest, Debug and Release builds, connected-device install and a local Release archive passed.
100
free indexed items
LOCAL
SQLite + ranking
ARCHIVE
Release created
  • Product strategy
  • OCR + speech
  • Privacy design
  • StoreKit
Read full case study
REAL PRODUCT UI / SAMPLE REPORT
AI style product home screenSample AI hair color comparison report
Native interface and clearly labelled sample style report.

04 / Consumer AI · iOS + API

Style intelligence

A paid-report product path designed around confidence, trust and visible value.

Proof155 backend tests passed; Debug and Release simulator builds passed.
  • Vision workflow
  • SwiftUI
  • FastAPI
  • Commerce
Read full case study
CURRENT SIMULATOR CAPTURE / CURRENT SOURCEToo Close risk-reward game home screen
Captured from a fresh simulator build of the current project source.

05 / Game design · SpriteKit

Too Close

A one-touch risk game where the safest move is never the most interesting one.

ProofFresh simulator build passed; daily seeding, adaptive difficulty and bank-or-push logic are implemented.
  • Game system
  • SpriteKit
  • Haptics
  • Persistence
REAL OUTPUT / CONTACT DATA REDACTED
clinic-lead-ops / review
487unique leads
467valid phones
451score 70+
AllValid onlyHigh scoreSearch records…
Sanitized representation of the generated review panel; counts come from the exported lead file.

06 / Sales operations · Automation

Clinic Lead Ops

Public business data, normalized into a human-controlled outreach queue.

Outcome487 unique businesses; 467 valid phones; 451 high-score leads—without automated messaging.
  • Places API
  • Scoring
  • Data hygiene
  • Human review
DOCUMENTED FIELD MAP / SAFE BOUNDARY
TARGET825X Proidentity confirmed
Android UI
Car service
MCU bridge
OBD state
READ ONLY · NO ROOT · NO CAN WRITES
Independent technical research distilled from device, package and service evidence; no manufacturer affiliation is implied.

07 / Automotive · Field systems

Closed stack, mapped safely

Opaque hardware became a decision-ready map before any risky move was considered.

ProofTarget identity confirmed, vehicle-interface Android services mapped and a bounded diagnostic probe validated.
  • Recon
  • System mapping
  • Android
  • Safety constraints
View all selected work

The selected archive

Seven products. Seven different hard problems.

Consumer products, deep technical systems, fast prototypes and careful launch work. The through-line is an appetite for hard problems—and a refusal to confuse motion with progress.

01 · Native iOS02 · Consumer AI03 · Local-first search04 · Automotive systems05 · Games06 · Personal intelligence07 · Product strategy08 · Launch systems

02 / Capabilities

One senior product brain, end to end.

Less relay race. More continuity from the first hard question to the last real-world check.

Explore all services

03 / Method

Make the next important thing obvious.

01

Frame

Find the real problem, the real user and the decision the product must make easier.

02

Make

Move quickly from words to a working thing people can react to.

03

Prove

Test the risky paths, keep claims honest and turn feedback into evidence.

04

Compound

Leave behind a clearer product system—not a pile of disconnected deliverables.

04 / Free tool & field notes

Useful proof before the pitch.

A private release checker and practical frameworks for teams shipping native products and AI systems—built around evidence, not theatre.

View all field notes

05 / Common questions

A clearer place to start.

The useful version of the early questions—before a brief becomes a specification.

01What does getyear build?

Native iOS products, consumer AI experiences, local-intelligence systems, technically ambitious prototypes and the QA and launch systems around them.

02Can you take a product from idea to App Store?

Yes. Product direction, experience design, SwiftUI engineering, StoreKit, device QA, release evidence and App Store presentation can run as one connected engagement.

03Do you work with existing product teams?

Yes. A focused engagement can own a risky product slice, clarify a stalled direction, harden a release path or add senior product and engineering continuity to an existing team.

04Is the work limited to MVPs?

No. The appropriate outcome can be a decision-ready prototype, a production-grade vertical slice or a launch-ready product. The proof standard is matched to the actual claim.

05How does a project start?

Send the messy version: the problem, the ambition, what already exists and the uncomfortable constraints. We begin by identifying the next decision that reduces the most risk.

Select collaborations · 2026

Have something
worth building?

Bring the ambition, the uncertainty and the uncomfortable constraints. We’ll find the clearest path through.

Start with a short brief
hello@getyear.appİstanbul · Working worldwide