IOS + GPT APPS

Product delivery for teams — from discovery to production

Method: Product mindset
Expertise: iOS • GPT Apps • MCP
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About

Hi! I'm Vlad.

Founder of a mobile-first development company with a strong focus on iOS and our own in-house products.

15+ years turning ideas into working products. We specialize in full-cycle mobile product development for startups and founders — from idea validation and UX/UI design to iOS-focused development, launch, and long-term support on a simple subscription model.

We actively build and scale our own products, so we work with a real product mindset, not just as an outsource team. Our team includes experienced engineers with backgrounds in top global tech companies.

15+
Years
100+
Products
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Experience

1

IOS / MOBILE PRODUCT DEVELOPMENT

STARTUPS & FOUNDERS

Full-cycle mobile product development from idea to launch. iOS focus, UX/UI design, concept validation, long-term support on a simple subscription model.

2

GPT APPS / MCP

INTEGRATIONS • AUTOMATION

Building GPT-powered apps connected to real business systems via MCP: tool layer, safe execution, guardrails, and observability — shipped as production-ready products.

3

IN-HOUSE PRODUCTS

OWN PRODUCTS

Actively building and scaling our own products. Working with real product mindset, using modern tools like Cursor to speed up prototyping, reduce costs, and improve iteration and testing cycles.

4

EQUITY COLLABORATION

EARLY-STAGE PROJECTS

For strong early-stage projects, we're open to working for equity using our own tech stack, significantly reducing development costs.

5

MESSENGER BOT INTEGRATION

TELEGRAM • WHATSAPP • SLACK

Building and integrating bots for Telegram, WhatsApp, Slack, and other messengers. Automating customer communication, workflows, and business processes through conversational interfaces.

6

SAAS DEVELOPMENT

CLOUD PLATFORMS

Full-cycle SaaS product development from architecture to deployment. Building scalable cloud platforms with subscription models, API integrations, and multi-tenant architectures.

7

TECH STACK OPTIMIZATION

MODERN TOOLS

Using tools like Cursor at different stages of development to speed up prototyping, reduce costs, and improve iteration and testing cycles.

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Services

Two primary directions: iOS product delivery and GPT apps connected to real business systems via MCP. Clear deliverables, realistic timelines, and simple weekly communication.

GPT APPS / MCP

Product delivery MCP Integration Security & Guardrails

IOS

MVP → Scale UX/UI App Store ship

COMMUNICATION

Weekly demos Async updates Transparent scope

DELIVERABLES

Scope doc Architecture Working product

GPT Apps with MCP — Turnkey

We design and build GPT-powered apps end-to-end and connect them to your real systems via MCP — securely and with product-grade UX.

Deliverables: scope + roadmap, MCP tool layer, app UX, observability, handover docs
Typical timeline: 2–6 weeks for MVP (depends on data + permissions)
Communication: weekly demo + async updates (Slack/Telegram/Email)

iOS Product Delivery — MVP → Scale

Full-cycle iOS development with product mindset: discovery, UX/UI, implementation, release, and long‑term support.

Deliverables: PRD-lite, clickable prototype, iOS app, analytics, release checklist
Typical timeline: 3–8 weeks for MVP (scope‑driven)
Communication: weekly demo + async updates, shared backlog

Also available: small improvements and integrations in any language if the project needs it (backend, web, scripts), plus architecture work to make the whole system reliable and scalable.

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Proof

Placeholders for 5 real apps/cases. We’ll replace these with verified details, screenshots, and metrics.

App #1 — Placeholder

Problem → what we shipped → what changed. (Details coming soon.)

Artifacts: scope, architecture notes, demo video, release notes

App #2 — Placeholder

Problem → what we shipped → what changed. (Details coming soon.)

Artifacts: scope, roadmap, key UX screens, metrics snapshot

App #3 — Placeholder

Problem → what we shipped → what changed. (Details coming soon.)

Artifacts: MCP tool layer, guardrails, logs/evals summary

App #4 — Placeholder

Problem → what we shipped → what changed. (Details coming soon.)

Artifacts: integration notes, deployment checklist, handover docs

App #5 — Placeholder

Problem → what we shipped → what changed. (Details coming soon.)

Artifacts: backlog, weekly demos, release plan
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Process

01

Discovery

We align on goals, constraints, success metrics, and scope. You get a written scope doc and a realistic plan.

02

Strategy Development

Roadmap + estimate + risk list. We choose the simplest architecture that can survive production.

03

Design & Development

Weekly demos, short cycles, and clean handover. For GPT apps: MCP tools, permissions, guardrails, logs.

04

Launch & Support

Release checklist, monitoring, and support. You get a predictable cadence and a working system.

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Positioning

Why only two “main directions”?

We keep the website focused on iOS and GPT Apps with MCP because these are the two tracks where we can deliver the fastest, safest, and most predictable outcomes.

In real projects, results often require cross‑cutting work: backend tweaks, web dashboards, integrations, scripts, data pipelines, architecture and scalability decisions. We can handle small improvements in any language when they are needed to ship the product — without turning the engagement into “we do everything”.

Think of it as product delivery: iOS or GPT app is the visible surface, and we will do the necessary engineering under the hood to make it reliable in production.

2
Core directions
Small fixes if needed

Interested in working with me?