
Flatlogic
No-code development platforms
Application development software
Rapid application development (RAD) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Flatlogic
Flatlogic is a web application generator that helps developers and teams scaffold full-stack applications from prebuilt templates and UI components. It targets use cases such as internal tools, admin panels, dashboards, and CRUD-style business apps where a working codebase is needed quickly. Unlike many no-code platforms, it primarily outputs source code (front end and, for some stacks, back end) that teams can customize and deploy in their own environments.
Generates editable source code
Flatlogic produces a downloadable codebase rather than locking users into a hosted runtime. This supports deeper customization, code review practices, and integration with existing engineering workflows. It also enables self-hosting and deployment to the organization’s preferred infrastructure.
Fast scaffolding for CRUD apps
The product focuses on common business app patterns such as authentication, navigation, tables, forms, and admin layouts. This can reduce time spent on repetitive setup work when building dashboards and internal tools. Teams can start from a consistent structure instead of assembling components from scratch.
Template-driven UI consistency
Flatlogic’s approach centers on predefined templates and design systems, which helps maintain consistent UI patterns across screens. This is useful for teams that want a predictable baseline for admin and data-management interfaces. It can also simplify handoff by standardizing project structure and styling conventions.
Not a true no-code builder
Although it is often evaluated alongside no-code/RAD tools, Flatlogic generally requires developer skills to customize, extend, and maintain the generated application. Users should expect to work in the underlying framework and toolchain. This can be a barrier for non-technical business users compared with more visual, model-driven platforms.
Template and stack constraints
Projects are constrained by the supported frameworks, templates, and architectural choices provided by the generator. If a team’s requirements diverge (custom UX patterns, unusual data models, or specialized workflows), modifications can become time-consuming. The value decreases when the app needs significant bespoke design or nonstandard behavior.
Ongoing maintenance remains on team
Once generated, the application behaves like a typical custom code project and requires ongoing dependency updates, security patching, and operational ownership. Platform-level features common in some RAD suites (governance, centralized monitoring, built-in workflow engines) may require additional tooling. Organizations should plan for engineering capacity beyond initial generation.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0.00 per month | 5 credits/month (non-accumulative on pricing page, though docs say 5 credits/month); AI app generation & modification, dev environment, 3 public apps, only free templates; personal use only (commercial requires paid plan). cite |
| Basic | $20 per month | 25 credits/month (accumulative), private apps, dev & stable environments, up to 2 collaborators per app, access to paid templates, hosting included. Billed monthly (annual option indicated on pricing page). cite |
| Team | $99 per month (documented example) | Documentation references a Team plan at $99 with 75 credits/month and 6-month rollover in pricing-model docs; this plan appears as an example in docs but is not shown on the main /pricing page table. Treat as documented example. cite |
| Enterprise | Custom pricing (contact sales) | Custom credits allocation, dedicated hosting/deployment options, priority support, dedicated account manager, custom app features & business logic. cite |
Additional usage-based / credit details (official):
- Pricing model: credit-based (1 credit ≈ $1). Credits pay for AI modifications, hosting, and one-time template licenses; credits included with paid plans and can be topped up. cite
- AI model costs (USD per 1M tokens) as published on pricing page: Gemini 2.5 Flash Lite – $0.10 prompt / $0.40 completion; Gemini 2.5 Flash – $0.30 / $2.50; Gemini 3 Pro Preview – $2.00 / $12.00; Gemini 3 Flash Preview – $0.50 / $3.00; Gemini 2.5 Pro – $1.25 / $10.00. (Charged via credits). cite
- Sandbox VM / hosting example rates (official): e2-micro (2 vCPU + 1GB)
$0.25/day ($7.50/mo); e2-small$0.50/day ($15/mo); e2-medium ~$1.00/day (~30/mo). Hosting billed daily/weekly; exact billing shown on pricing page and in docs. cite - Template licenses: some templates are paid one-time licenses purchased with credits; pricing shown per-template on the platform. cite
Notes & limitations (official):
- Minimum paid plan observed on the official pricing page is the Basic plan at $20/month. cite
- Free plan: officially available ($0/month) for testing/personal use. cite
- Free trial: official pricing page and docs state there is no time-limited free trial. The site explains you can test deployed apps and use "Code Preview" instead. ("Do you offer trial? No, there is not trial"). cite
- Some historical/older blog posts reference alternate pricing (e.g., 3-tier structure in 2022), but current official pricing page and docs should be considered authoritative. cite