Small product engineering team
From idea to production. Without the corporate circus.
Messy spreadsheets, scattered leads, manual payments, endless copy-paste — we turn that chaos into reliable web systems: CRMs, payment flows, Telegram automation and AI workflows. No layers of account managers: you talk to the people who build it.
What we build
You don't need “a website” or “a backend.” You need a specific business problem to stop costing you time and money. That's where we start.
Every enquiry lands in one place, tagged and followed up — so nothing goes cold in a chat or a spreadsheet.
Charges, payouts and refunds that just work — with a clear status trail when finance asks what happened.
Internal tools your team actually opens every day — replacing brittle sheets and manual copy-paste.
AI wired into your real workflow — handling transcription, summaries and lookup so the team focuses on judgement.
We ship to production with monitoring from day one — so launches are boring and problems surface before users do.
Roadmap process
No black box. Six steps, one small accountable team, and you always know exactly which stop we're at and what comes next.
We map your messy process and find what actually hurts.
Short discovery calls and a walkthrough of your current tools, spreadsheets and manual steps.
Current flow
Pain points
We turn the chaos into a clear system diagram.
Data flows, user roles, integrations and edge cases on one page.
A clickable prototype so you see it before we build it.
Fast UI prototype to validate the core path with real users.
We build the core system in tight, reviewable iterations.
Typed, tested code shipped to a staging environment continuously.
Endpoints
DB tables
We ship to production with monitoring from day one.
Docker, CI/CD, logs and alerts so launch day is boring (in a good way).
Deploy pipeline
We measure, fix and extend based on real usage.
Ongoing support, iteration and new features as you grow.
Usage signals
Backlog
Roadmap process
01/06
We map your messy process and find what actually hurts.
Short discovery calls and a walkthrough of your current tools, spreadsheets and manual steps.
We turn the chaos into a clear system diagram.
Data flows, user roles, integrations and edge cases on one page.
A clickable prototype so you see it before we build it.
Fast UI prototype to validate the core path with real users.
We build the core system in tight, reviewable iterations.
Typed, tested code shipped to a staging environment continuously.
We ship to production with monitoring from day one.
Docker, CI/CD, logs and alerts so launch day is boring (in a good way).
We measure, fix and extend based on real usage.
Ongoing support, iteration and new features as you grow.
Current flow
Pain points
Case studies
Client names and numbers are anonymized for confidentiality — the problems, the work and the outcomes are exactly as they happened.
A payment platform for deposits and payouts that routes every transaction across dozens of external providers through a single integration layer.
60+
Provider integrations
150+
Database migrations
68
Domain models
56
Business-logic services
A server-side CRM that collects leads from advertising Telegram bots, runs step-based surveys, tracks UTM attribution and pushes conversions back to ad accounts.
24
Database tables
~50
REST endpoints
6
External integrations
A self-hosted system that turns meeting recordings into structured analytics: speaker-labelled transcript, summary, decisions, action items and risks. Everything runs locally in Docker, with external LLMs only used after anonymization.
8
PII types anonymized
5
Supported LLM providers
11
Extraction categories per chunk
A counterparty-vetting system for P2P deals: users check a counterpart's reputation and file complaints through a Telegram bot, while moderators handle review in a web panel.
30
REST endpoints
4
Counterparty trust levels
8
Telegram bot commands
A service that listens to messenger communities around the clock, identifies seller messages by scoring rules and exports unique contacts to a shared sheet and an operator web panel.
2
Data collection modes
~16
REST API endpoints
5
Database tables
FAQ
Pick one to run it. Straight answers, no sales fog.
$ haosa --pricing
It depends on scope, and we're upfront about that. Small automations start low; full systems get a fixed range after one short discovery call. You'll always see the number before committing — no surprise invoices.
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Final stop
Tell us what's tangled — a rough paragraph is enough. We'll reply with a short discovery call and a concrete plan. No obligation, no sales script.
