Replay AI vs TeleportHQ for building serverless fullstack UI apps in 2026?

TL;DR: Replay AI leverages video analysis to reconstruct functional UIs, offering a behavior-driven alternative to TeleportHQ's static design-to-code approach for serverless fullstack applications in 2026.

The year is 2026. The demand for rapid UI development has never been higher. While design-to-code tools have matured, a critical gap remains: understanding user intent. Simply converting a design into code often misses the nuances of how users actually interact with an application. This is where behavior-driven reconstruction, powered by AI, is changing the game. Let's dive into a comparison between Replay AI and TeleportHQ, two players vying for dominance in the serverless fullstack UI space.

Understanding the Landscape: Replay AI vs. Traditional Design-to-Code#

Traditional design-to-code tools like TeleportHQ focus on translating static designs (Figma, Sketch, Adobe XD) into code. This is a powerful workflow for initial scaffolding, but it falls short when capturing the dynamic nature of user interaction. Replay AI takes a fundamentally different approach. By analyzing video recordings of user sessions, Replay reconstructs the UI based on observed behavior.

This "behavior-driven reconstruction" offers several key advantages:

• •Accurate Representation of User Flows: Replay captures the actual steps users take, ensuring the generated UI reflects real-world usage patterns.
• •Automatic State Management: Video analysis allows Replay to infer and implement state management based on user actions.
• •Reduced Iteration Cycles: By starting with a working UI based on user behavior, developers can significantly reduce the number of iterations required to achieve a polished product.

Let's examine the core features of each platform:

Diving Deeper: Replay AI in Action#

Replay AI uses Gemini to analyze video recordings and reconstruct the UI. The process involves several key steps:

1. •Video Upload and Analysis: Upload a video recording of a user interacting with a prototype or existing application. Replay analyzes the video, identifying UI elements, user actions (clicks, scrolls, form submissions), and state transitions.
2. •Component Reconstruction: Replay reconstructs the UI as a set of reusable components. These components are typically based on popular UI libraries like React, Vue, or Angular, ensuring compatibility with existing codebases.
3. •Behavior Mapping: Replay maps user actions to component interactions, creating a functional UI that mirrors the observed behavior. This includes handling state updates, data fetching, and navigation.
4. •Code Generation and Export: Replay generates clean, well-structured code that can be easily integrated into a larger application.

Step 1: Capturing User Behavior#

The first step is to capture a representative video recording of a user interacting with the application. This can be done using screen recording tools or by recording user testing sessions.

💡 Pro Tip: Focus on capturing complete user flows, from initial entry point to desired outcome. This will provide Replay with the necessary information to reconstruct the UI accurately.

Step 2: Uploading and Analyzing the Video#

Upload the video to Replay. The platform will automatically analyze the video, identifying UI elements, user actions, and state transitions.

Step 3: Reviewing and Refining the Reconstructed UI#

Replay provides a visual representation of the reconstructed UI, allowing developers to review and refine the results. This includes adjusting component properties, modifying event handlers, and adding custom logic.

Step 4: Generating and Integrating the Code#

Once the UI has been refined, Replay generates clean, well-structured code that can be easily integrated into a larger application.

typescript
// Example of a generated React component from Replay

import React, { useState, useEffect } from 'react';

const UserProfile = () => {
  const [userData, setUserData] = useState(null);

  useEffect(() => {
    const fetchData = async () => {
      const response = await fetch('/api/user/profile');
      const data = await response.json();
      setUserData(data);
    };

    fetchData();
  }, []);

  if (!userData) {
    return <div>Loading...</div>;
  }

  return (
    <div>
      <h1>{userData.name}</h1>
      <p>Email: {userData.email}</p>
      <p>Location: {userData.location}</p>
    </div>
  );
};

export default UserProfile;

This code snippet demonstrates how Replay can automatically generate React components with state management and data fetching logic, based on observed user behavior.

Supabase Integration: A Serverless Advantage#

Replay's seamless integration with Supabase offers a significant advantage for building serverless fullstack applications. Supabase provides a comprehensive suite of backend services, including:

• •PostgreSQL Database: A fully managed PostgreSQL database for storing application data.
• •Authentication: User authentication and authorization services.
• •Realtime Subscriptions: Realtime updates via WebSockets.
• •Storage: Object storage for storing images, videos, and other assets.
• •Edge Functions: Serverless functions for handling custom logic.

Replay can automatically generate code that interacts with Supabase, simplifying the process of building fullstack applications. For example, Replay can automatically generate code to:

• •Fetch data from Supabase tables.
• •Update data in Supabase tables.
• •Authenticate users using Supabase Auth.
• •Store files in Supabase Storage.

typescript
// Example of Replay-generated code for fetching data from Supabase

import { createClient } from '@supabase/supabase-js';

const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
const supabase = createClient(supabaseUrl, supabaseKey);

const fetchProducts = async () => {
  const { data, error } = await supabase
    .from('products')
    .select('*');

  if (error) {
    console.error('Error fetching products:', error);
    return [];
  }

  return data;
};

This code snippet demonstrates how Replay can automatically generate code to fetch data from a Supabase table, simplifying the process of integrating with a serverless backend.

Addressing Common Concerns#

While Replay offers significant advantages, it's important to address some common concerns:

• •Video Quality: The accuracy of Replay's reconstruction depends on the quality of the video recording. Clear, well-lit videos with minimal distractions will yield the best results.
• •Complex Interactions: Reconstructing highly complex interactions may require multiple video recordings and manual refinement.
• •Privacy: Ensure that user data is anonymized before uploading video recordings to Replay.

⚠️ Warning: Always prioritize user privacy when capturing and analyzing video recordings. Obtain explicit consent from users before recording their sessions.

Replay AI vs TeleportHQ: A Feature Comparison#

Frequently Asked Questions#

Is Replay AI free to use?#

Replay offers a free tier with limited video analysis time. Paid plans are available for increased usage and access to advanced features.

How does Replay handle privacy?#

Replay prioritizes user privacy. We recommend anonymizing user data before uploading video recordings. Replay also offers features for redacting sensitive information from videos.

What frameworks does Replay support?#

Replay currently supports React, Vue, and Angular. Support for additional frameworks is planned for future releases.

How accurate is Replay's code generation?#

Replay's code generation accuracy depends on the quality of the video recording and the complexity of the user interactions. In general, Replay can generate highly accurate code for common UI patterns and user flows.

Can I customize the generated code?#

Yes, the generated code is fully customizable. You can modify the code to add custom logic, integrate with existing systems, and optimize performance.

How is Replay different from v0.dev?#

While both aim for rapid UI development, Replay focuses on behavior-driven generation using video input, understanding user intent and flow. v0.dev, on the other hand, uses AI to generate UI components based on text prompts, lacking the direct behavioral insight Replay offers. Replay reconstructs working UIs from observed behavior, while v0.dev generates UI components based on descriptions.

---

Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.