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Selected work2022 — 2026

A selection of platforms and products we've designed, built, and still help run today.

(01) Portfolio
SaaS — AI website builderLive

Webperia

An AI-native website builder for freelancers, agencies, and teams. Describe a site and AI drafts it, refine it in a visual editor, then publish to a custom domain with SSL and a global CDN.

AI generationVisual editorReact / HTML export
Visit site
120+
templates
120+
components
1-click
publishing
SaaS — AI-powered QAReady to launch

softAssert

A QA platform that brings test management, bug tracking, and test execution into one workspace. Its AI co-pilot generates test cases from PRDs, Figma designs, or API specs.

Claude AIGraphQLOAuth 2.0Webhooks
Visit site
AI
test generation
2-way
Jira & Linear sync
0
config to start
Software services — NearshoreLive

Softech MK

Website for a North Macedonia nearshore development company, presenting its custom software, QA, AI automation, and dedicated-team services to Western clients.

WebSEOMarketing site
Visit site
Web
& mobile dev
QA
testing
AI
automation
In progress2026

More on the way

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(02) What they share

(01)

AI at the core

Webperia drafts entire websites from a description; softAssert generates test cases from PRDs, designs, and API specs. AI is built into the workflow, not bolted on.

(02)

Built as real businesses

Subscription tiers, team collaboration, onboarding, and third-party integrations — the details that turn software into a product customers pay for.

(03)

Production-ready from day one

Custom domains with SSL, global CDN delivery, OAuth, and webhooks. Infrastructure and security are designed in from the start.

(03) How we deliver

(01)

Scope

Define the users, the core problem, and the smallest product that proves the idea.

Discovery
(02)

Prototype

Design key flows and validate them early, before committing engineering time.

Design
(03)

Build & test

Ship in weekly increments with code review and automated testing on every change.

Engineering
(04)

Launch & grow

Release, monitor real usage, and iterate on what customers actually need.

Ongoing

Want the full story?

We'll walk you through architecture decisions, trade-offs, and what we'd do differently — engineer to engineer.

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