Articles
We share our experience of launching facilities, integrations and implementations.
Search in Claude Code: WebSearch, WebFetch and MCP
We analyze the built-in WebSearch and WebFetch tools in Claude Code: what they return, how much they cost, where they don't work and why the search engine can't be replaced in them. And we show you how to connect a search MCP server with one command and not step on a rake with scope, keys and permissions.
Private AI: customer data and someone else's cloud
Employees are increasingly inserting customer uploads into ChatGPT and Claude. Let's look at what 152-FZ says about this, what fines are in effect from May 30, 2025, and how to use AI without sending data to someone else's cloud.
MicroSaaS in 2026: How to Choose a Niche: Market, Economy, Risks and Opportunity Map based on Stripe Index, Stack Overflow, Carta and industry research data (Part 3)
Based on the selection criteria — money in the niche is already paid through Stripe, low saturation with competitors at the same time, verticality (the solution is tailored to a specific profession, and not " for everyone ") and quick payback for the client — seven areas can be identified with different ratios of risk and potential profitability.
MicroSaaS in 2026: How to Choose a Niche: Market, Economy, Risks and Opportunity Map based on Stripe Index, Stack Overflow, Carta and industry research data (Part 2)
An "AI wrapper " is a product that simply adds a user interface on top of someone else's neural network model - for example, GPT from OpenAI — by calling it through the API, but without creating its own technology, data, or embedding in the client's workflow.
MicroSaaS in 2026: How to Choose a Niche: Market, Economy, Risks and Opportunity Map based on Stripe Index, Stack Overflow, Carta and industry research data (Part 1)
MicroSaaS is one of the few segments of the software market where an individual developer or a team of two or three people can still build a profitable business without venture capital money. Over the past two years, artificial intelligence has been added to this, which has sharply reduced the cost of development, and at the same time, the cooling of seed investments (the first external financing that a startup attracts from investors), forcing founders to look for a quick way to profit, rather than scale.