Fenado AI
Transform your ideas into successful apps and websites. Led by proven entrepreneurs who built a $500M company serving millions of users daily.
Introduction
Fenado AI is a no-code, AI-driven platform that helps founders and teams rapidly design, prototype, and launch mobile apps and websites. Co-founded by Azhar Iqubal and Manish Singh Bisht, Fenado combines AI-powered UI generation with human developers to turn ideas into production-ready products fast.
Key Features
AI Design & Prototyping: Text- or chat-driven generation of screens, flows and mockups — quickly turn concepts into clickable prototypes.
No-code → Build: Automatic scaffolding of frontends, backends, and deployable builds; Fenado pairs AI outputs with human engineering to finish the product.
Desktop App & Live Preview: A Mac desktop client (Apple Silicon ready) for real-time editing, preview, and “play” simulation (requires Flutter/Android Studio for native build workflows).
Analytics & Dashboards: Built-in metrics to monitor user growth, engagement, and app performance post-launch.
Cross-platform Output: Supports responsive web, native iOS & Android apps, and backend APIs designed for scale.
Human + AI Workflow: Iterative process where AI generates specs and human developers refine, implement, and ship.
What It Does
Fenado streamlines the path from idea to product:
- Ideate: Describe your app or website and receive AI-generated designs and flows.
- Refine: Preview, comment, and request revisions on generated screens and interactions.
- Build: Fenado's team and toolchain convert approved specs into production-ready code.
- Launch & Scale: Deploy to the web and app stores with monitoring and iterative updates.
How It Works
1. Describe the product: Give the platform a brief or use chat to outline features. 2. Generate & preview: AI creates screens and flows; preview them in the desktop/web interface. 3. Hand off to build: Human developers finalize code, integrate backends, and prepare store builds. 4. Launch: Publish web and mobile apps and use Fenado's dashboards to monitor performance.
Use Cases & Target Audience
Use Case
- Founders and startups building MVPs quickly without hiring full engineering teams.
- Agencies and designers converting mockups into working apps faster.
- Businesses wanting fast prototypes and iterative product launches.
Target Audience
- Early-stage startups and bootstrapped ventures.
- Solo founders, product designers, and non-technical creators.
- Product teams that need rapid prototyping with engineering support.
Pros and Cons
Pros
- Speeds up end-to-end product delivery by combining AI and expert engineers.
- Rapid prototyping and real-time previews reduce feedback cycles.
- Cross-platform output—web + native mobile ready for scaling.
Cons
- Premium pricing plans target startups and businesses rather than casual users.
- Closed-source — limited ability to self-host or fully customize platform internals.
- Expect a coordination step between AI-generated specs and developer expectations.
Final Thoughts
Fenado AI is a compelling option for teams that want to compress product cycles from months to weeks by leveraging AI for design and pairing it with human engineers for production quality. It’s especially useful for founders and agencies who value speed and polished launches over DIY control.