Trial
Поехали
Quick facts
- Pricing model
- Trial
- Minimum price
- Depends on the plan
- Free access
- Trial access
- Regional payment options
- Pay directly on the website
- Service status
- Online, checked
- User rating
Developer and reliability
Information about the developer and the service's terms. This is a factual reference, not a quality assessment or a guarantee of safety.
- Developer
- Даниил Яроцкий
- Legal entity
- ЯРОЦКИЙ ДАНИИЛ ДМИТРИЕВИЧ
- Legal entity's country
- Russia
- Registration details
- ОГРНИП 325150000047406
- Domain registered
- March 26, 2025
- The domain registration date is not the service's launch date.
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Editorial assessment
Good specialized serviceShipping a fully functioning storefront or custom web tool in one evening without software engineers is a recurring founder dream, and Поехали tackles that practical challenge head-on. The platform stands out because it does not stop at surface-level visual mockups: under the hood, it immediately spins up a live database, authentication, payment handling, and local cloud hosting.
Keep expectations realistic, though: this is not an outright replacement for a dedicated engineering team. As soon as application requirements deviate from standardized templates and landing pages, the AI agent can introduce logic bugs, and platform support is under no obligation to patch generated code. Additionally, the billing system consumes internal 'Energy' units whenever a server request completes, regardless of how useful the generated response was. It is a solid specialized tool for launching MVPs and standard web projects, provided you understand its operational limits.
- Functionality Good
- Price and value Good
- Ease of use Good
- Reliability and support Average
- Innovation Average
About the tool
Поехали is a full-stack AI platform designed to transform natural language descriptions or visual UI mockups into deployed web applications. Rather than simply generating static layouts, the platform coordinates an AI agent named Yura to decompose product requirements, plan the architecture, and write both frontend interfaces and backend logic.
The service provides a managed cloud environment right out of the box:
- Full-stack infrastructure: automatically provisions a database, serverless backend functions, file storage, and cloud hosting on Russian servers without requiring manual devops setup.
- Hybrid editing options: allows users to modify elements visually on canvas or switch into developer mode to inspect and edit the source code directly.
- Pre-built modules: features rapid integrations for email, Google, and Yandex ID authentication, domestic payment gateways like YooKassa and Robokassa, and lead collection forms.
- Deployment and version control: enables one-click publishing to platform subdomains, custom domain binding, direct two-way GitHub repository synchronization, and full source code export via ZIP archives.
The entire development workflow is handled within a standard web browser, eliminating the need for local development environments, command-line tooling, or VPN access.
How it helps you
The service allows solo founders, marketers, and web designers to launch functional web applications, e-commerce stores, and interactive MVPs in minutes rather than weeks. It provides:
- Accelerated MVP creation with working databases and local payment handling without hiring a development team.
- Full code export flexibility, letting technical creators transfer their projects to external hosting or GitHub whenever custom scaling is needed.
Pros and cons
Pros
- Full-stack automation provisions database, serverless functions, and storage alongside UI code
- Hybrid workflow supporting both prompt-based visual tweaks and direct source code editing
- One-click integrations for local payment gateways, social authentication, and GitHub sync
- Complete code portability with ZIP export and custom domain support
- Runs on local infrastructure without VPN requirements and accepts domestic bank cards
Cons
- Energy credits are consumed upon server execution completion regardless of output quality
- Platform technical support does not debug or fix AI-generated application code
- Generative queries route through external AI models, requiring caution with sensitive personal data
User reviews
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Pricing
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Премиум
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Compare key features, prices and capabilities with similar tools
| Feature | ![]() Current tool | ![]() | ![]() | ![]() |
|---|---|---|---|---|
| Pricing model | Trial | Pay as you go | Trial | Trial |
| Minimum price | from RUB 999/month | Pay as you go | from $10/month | from RUB 250/month |
| Free access | Trial access | No | Trial access | Yes |
| Regional payment options | Direct payment | Direct payment | Direct payment | Direct payment |
| Editorial assessment | Good specialized service | Good specialized service | Strong technology platform | Average |
| User rating | ||||
| Current tool |
Frequently asked questions
Do I need programming skills to use Поехали?
No. You can build landing pages, online storefronts, and standard web tools entirely through natural language descriptions and visual editing. However, basic frontend or backend knowledge is beneficial if you want to inspect or modify the generated code in developer mode.
Who owns the code and intellectual property of created projects?
You own all projects created on the platform. The platform allows you to export your source code as a ZIP archive, connect custom domain names, or push your codebase directly to your own GitHub repository for independent hosting.
How does the platform's Energy billing system work?
Energy is the platform's internal unit used to account for AI code generations and prompt executions. Monthly subscriptions include an energy quota, and additional energy can be purchased separately. Charges apply as soon as the server successfully finishes processing a prompt, regardless of whether you accept the generated result.
Can I store and process user personal data on the service?
Project databases and cloud hosting are maintained within Russian data centers in compliance with local regulations. However, because code generation queries interact with external third-party AI platforms, you should avoid including confidential personal data directly inside prompts or source files.
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