Custom Web Services in Python

Custom web applications that automate your business

Tailored applications that automate operations and drive revenue: client portals, AI assistants, integrations, SaaS.

From idea to launch in 6–12 weeksClient portalsAI assistants & smart integrationsIntegrations with your systemsProcess automationArchitecture ready for SaaS products
💡
In plain words

Software handles the routine work instead of your team: taking orders, calculating, answering questions, preparing documents. You save time and money every month.

For whom

Does this sound familiar?

Your processes still run on spreadsheets, chats and manual work

You need a client portal for customers, employees or partners

You want to automate leads, documents, payments or reporting

You need an MVP to validate an idea

You're building a SaaS product or internal tool

You need integrations between your CRM, site, payments and warehouse

Manual work eats your time and money

As long as your processes depend on manual work, spreadsheets and chat, you're losing time, money and control. Automation brings control back and scales your operations.

Results

What you will get

1

A service that takes over routine tasks and reduces manual work

2

Transparent processes and full control over data

3

Portals for clients or your team

4

Integrations between your key systems

5

A scalable Python architecture

6

The ability to evolve the product without a full rewrite

My approach

Why it works

01

Product thinking

I think about the product, not the task — how it will live and evolve after launch.

02

Working version first

Start with core features, validate the hypothesis, then scale based on data.

03

Scale-ready architecture

Growth capacity is built in: users, data, integrations, load.

Process

How I work

01

Brief & process analysis

Study business processes, pain points, current systems.

02

System design

Design the system: modules, data, integrations, security.

03

MVP design

Define key features for launch and hypothesis testing.

04

Prototype & logic

Screen mockups, data structure, business rules.

05

Server side & interface

Server logic, interfaces, data storage.

06

Integrations & AI

Connect external services and AI capabilities.

07

Testing & launch

Thorough testing, launch, monitoring.

Timeline

Format and timeline

MVP
6–12 weeks
Format
Product development
Start
After system design
Packages

Service tiers

MVP

Starter · custom

Test an idea

  • Task analysis
  • Basic architecture
  • Key features
  • Minimal interface
  • Launch for first users
Get started

Automation

Growth · custom

Remove manual work

  • Process audit
  • Client portal or internal service
  • Integrations
  • Automatic scenarios
  • Team training
Start automating

SaaS / product

Enterprise · custom

Scaling

  • Scalable architecture
  • Roles & permissions
  • Pricing & payments
  • Admin panel
  • Analytics
  • Development & support
Scale your product
Budget

I work with different budgets

Start with an MVP — validate your idea with minimal investment
Phased payment: you pay for completed stages
Exact estimate after a free architecture consultation
Simplified automation formats for small businesses
Tech stack

Stack and tools

PythonDjango / FastAPINext.js / ReactPostgreSQLAI: ChatGPT, Claude, GeminiCloud infrastructure
My advantages

Why work with me

20+ years in development

I design systems, not just write code.

Python + business understanding

I understand both the technology and your business processes.

AI integrations

Modern AI capabilities applied where they actually drive results.

From MVP to SaaS

The full product journey: validate → launch → scale.

Guarantees

Security and transparency

Code and materials belong to the client after payment
Transparent stages and progress demos
System and integration documentation
Regular demos and feedback cycles
Contract-based support after launch
NDA on request
Work under contract / invoice
Phased payment option
FAQ

Frequently asked questions

It depends on features, integrations, architecture, design and expected load. After a discovery call I'll give you a range and an MVP plan.

An MVP or prototype usually takes 6–12 weeks. More complex products are scoped after an system design.

Yes. The best approach is to start with an MVP: core features, hypothesis validation, then grow based on data and feedback.

Once the project is paid for, all code and materials are transferred to you.

Yes. I work with APIs, CRMs, payment gateways, databases and external services.

Yes, where it makes sense: AI assistants, text processing, content generation, analytics, support automation.

The architecture is designed with growth in mind: users, data volume, integrations and load.

We can add support, monitoring, updates and continued product development.

Let's discuss your idea

Describe your task — within 24–48 hours I'll propose architecture, timeline and an MVP plan.

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