Let’s go through some Bolt.New Tutorials shall we?
This is the most in depth Bolt.New Tutorial on the Internet:
This video teaches you how tobuild websites, web apps and mobile aps:
I have also produced a lot more video tutorials for Bolt.new
7 Bolt.New Tutorials
After watching the video outlining 37 ways to make money with tools like Bolt.new, let’s zero in on the four most promising strategies. A PDF guide with the full list of monetization methods is available for download, but to get you started, let’s explore the most lucrative opportunities.
The Top 4 Ways to Monetize Bolt.new Skills:
Lead Generation: Connect local businesses with eager customers by building targeted lead generation websites using Bolt.new. Think about services like lawyers, accountants, or other professionals who thrive on acquiring new clients. Source these leads and sell them for a fee, offering a streamlined alternative to traditional advertising methods.
Directory Sites: Harness the power of directory websites. Locate a specific trend or niche that no one else has gone down. Use this to make a website that links to all these places/sites that your trend refers to.
Start Your Own AI Agency: Step into the exciting world of AI automation by launching your very own agency using Bolt.new. With tools like BoltStarter providing ready-made templates, you can quickly create a professional website to showcase your services and attract clients seeking AI-powered solutions.
Sell Your Expertise: Become a sought-after expert in Bolt.new. With the increasing demand for efficient and user-friendly website development, your skills in Bolt.new can be highly valuable to individuals and businesses alike. Market your expertise on platforms like Twitter, LinkedIn, or YouTube to attract clients seeking quick and effective website solutions.
Here’s how to get the most bang for your buck using Bolt.New:
Don’t export your entire project for a simple image update. Drop the images, videos and other elements into a public folder in the Bolt.New files and code section. Copy the new path, and use the inspector tool to add it.
Take advantage of time-saving templates that other users have created and provided on GitHub. Use the Bolt.New web application to upload a public GitHub repo containing an app template. Then import your own custom images, fonts and text to create a unique app.
When you don’t need to code from scratch, look to components. Use the built-in Bolt.New component library, accessible through the forward slash (/) to quickly populate your project with features like pricing tables, social media buttons, cookie consent banners and more.
Go hands-free with voice-activated prompts using Windows H, then speak to Bolt.New to make changes, updates, and more in a new workflow process known as vibe coding.
For those looking to escape the often-prohibitive costs associated with traditional online course platforms, building a custom solution offers significant advantages. Many popular platforms come with hefty monthly subscriptions, sometimes starting around $69 to $89 and quickly escalating, often accompanied by transaction fees on course sales. This financial burden can be particularly challenging when you’re just starting out and testing the viability of a new course.
An alternative approach involves leveraging tools like Bolt.new to construct your own course platform. This method can dramatically reduce ongoing costs and provide greater control over features and functionality. For instance, you can quickly create a professional landing page to market your course, complete with calls to action, social proof elements, and integrated payment buttons.
The platform itself can be designed with a user-friendly interface for students. Key features to consider incorporating include:
User Authentication: Secure sign-up and login capabilities for students.
Course Navigation & Progress Tracking: A clear layout of course modules and lessons, with a visual progress bar that updates as students complete content.
Lesson Delivery: An embedded video player for lesson content.
Interactive Elements:
Instructor Notes: A dedicated space for you to provide additional context, resources, or prompts for each lesson.
Student Notes: A feature allowing students to take and save their own notes within the platform.
Feedback Mechanism: A simple way for students to submit feedback or questions directly to you on a per-lesson basis.
Administrative Backend: A private admin area where you can easily manage course content, such as adding new videos (either by uploading files or embedding from services like YouTube), editing existing lessons, managing instructor notes, and reviewing student feedback.
The development process, even for those without traditional coding skills, can be streamlined. By using prompt-based development tools, new features, such as a full-screen video mode or specific admin functionalities, can be requested and implemented with relative ease. This approach empowers course creators to tailor their platform to their specific needs and the needs of their students without the recurring expense of third-party services.
Importing designs directly from Figma can significantly streamline the process of turning your visual concepts into functional applications. When initiating this, you’ll typically use an “Import from Figma” option, which requires you to provide a specific URL from your Figma file.
For the best results, ensure your Figma designs are well-prepared. This involves selecting the exact frame you wish to import. A crucial step is to apply “auto layout” to your frames in Figma, as this greatly aids in translating the design into responsive, structured code. Once your frame is ready and auto layout is applied, you’ll need to right-click on the selection and use the “Copy/Paste as” > “Copy link to selection” option to get the correct URL for import.
After pasting this link into the import tool, the system will fetch the design and attempt to generate the corresponding code. It’s worth noting that this design-to-code technology is continually evolving. Simpler, well-structured Figma designs, particularly those making good use of auto layout, tend to convert more smoothly. Occasionally, you might encounter issues related to permissions or platform-specific credits, so be mindful of those. The primary goal here is often to bring in specific UI components or entire page layouts that can then be further developed or integrated into an existing project. While the ability to paste new Figma component links directly into an ongoing project’s prompt for iterative additions is still under development, it highlights the direction towards more seamless integration.
If you’re looking for alternative ways to source UI components, platforms like v0.dev offer a library of elements that can be generated by copying a “Bolt prompt.” This prompt can then be used within your development environment to create the component. For more granular or basic UI elements such as toggle switches or specific button styles, websites offering CSS snippets (especially those providing Tailwind CSS code) can be a valuable resource for quickly grabbing and implementing pre-built solutions.
Here’s a look at some AI-powered tools that can significantly speed up the process of building mobile applications:
AI Mobile App Builders: Tools like Bolt.new, Rork, and a0.dev function as AI coding assistants specifically geared towards mobile app creation. They interpret natural language prompts describing the desired app and its features.
Prompt-Driven Development: The core workflow involves providing a detailed prompt outlining the app’s functionalities. For instance, when building a companion chatbot (a popular app category), the prompt might specify features like context-aware conversations, customizable AI personalities, conversation history, multimodal input (voice/text), and a responsive user interface.
Code & UI Generation: Based on the prompt, these tools generate foundational code (often using frameworks like React Native) and provide interactive previews of the user interface. This can include generating components for chat interfaces, character selection screens, settings panels, and user profiles.
Tool Specifics & Features:
Bolt.new: Integrates with Expo for easy testing on physical devices. It offers advanced prompting features like “Dynamic Reasoning” for handling complex initial builds and “Diffs” for targeted code edits. While it generates a solid structure and UI, connecting it to backend APIs (like an LLM for chat intelligence or Superbase for data) requires manual steps.
Rork: Known for generating clean UI designs and a well-organized file structure. It also allows code download for further manual development and uses Expo Go for device previews. The generated chat functionality might be placeholder initially.
a0.dev: Impresses with its speed in generating a functional app preview, often including built-in LLM capabilities (like Claude integration) that work “out of the box” without immediate API key configuration by the user. It provides options for Superbase connection, app deployment, and QR code-based device testing.
Testing & Deployment: Most of these tools facilitate previewing the app on different platforms (iOS/Android) and testing on actual devices via QR codes and companion apps (like Expo Go or the tool’s specific app). Some, like a0.dev and Bolt.new, also include direct options for deployment or connecting to backend services.
Iterative Process: While these tools provide a massive head start, building a complete app is an iterative process. You’ll likely need to refine the generated code, customize the UI further, and integrate necessary backend APIs and databases.
Emerging Platforms: Keep an eye on newer platforms like Creatr.com, which are also entering this space with features potentially including streamlined deployment (though some mobile features might still be in beta).
Beyond Code – Marketing: Remember that building the app is only part of the equation. Success, particularly in the competitive mobile market, heavily relies on effective marketing, often utilizing social platforms like TikTok to reach users.
Many local businesses operate with outdated or poorly designed websites, presenting a significant opportunity. Common issues often include usability problems like text overlapping images, unprofessional copywriting, incorrectly formatted media elements, and broken or poorly implemented contact forms. These flaws detract from the user experience and can actively cost the business leads, especially if they are directing paid advertising traffic to an ineffective site.
Businesses providing essential or emergency services (like plumbing or drain cleaning) can be particularly receptive to website improvements. They often understand the need for a strong online presence to capture customers facing urgent problems but may lack the technical expertise or time to achieve it themselves.
Modern AI development tools offer a way to rapidly address these issues. By providing a detailed prompt outlining the business’s services, target locations, desired aesthetic (e.g., professional, modern, mobile-responsive), and required site structure (including specific pages like Home, About, Services, Contact), a functional baseline website can be generated quickly.
The process typically involves iterative refinement. Initial AI outputs might need adjustments – perhaps the visual style isn’t quite right, or specific elements need tweaking. Further prompts can be used to modify layouts, adjust spacing and padding around elements, correct errors, integrate existing brand assets like logos or videos, and ensure core functionalities like contact forms are correctly implemented. Once refined, these forms can be connected to backend services (like Supabase) to manage data submissions effectively before the site is deployed live. This entire workflow allows for the creation of a significantly improved website that can be offered as a compelling redesign service to local businesses.
Here’s a breakdown of how to integrate an OpenAI API into a web application using Supabase Edge Functions, facilitated by Bolt.new:
Initial Application Setup: Begin by prompting Bolt.new to generate the basic structure of your application. For instance, you could request a one-page website like a “Nutrition Guide” with a search box.
Adding API Functionality: To integrate external APIs, such as OpenAI for a search feature, instruct Bolt.new to add an Edge Function. This function will handle the communication with the API.
Supabase Integration for Secure API Keys:
Bolt.new will guide you to connect or create a Supabase project. This is crucial for securely managing your API keys.
Within Supabase, you’ll create a new project if one doesn’t already exist.
The OpenAI API key (or any other secret key) is then added as an environment variable or secret within the Supabase project’s Edge Function settings. This ensures the key is not exposed on the client-side, enhancing security.
Testing the Integration: Once configured, the search function on your website should now leverage the OpenAI API through the Supabase Edge Function to provide relevant answers.
Understanding Supabase Edge Functions:
These are serverless functions that run geographically close to your users, leading to faster response times.
They are ideal for tasks like handling payments, webhooks, emails, implementing custom logic not suited for the frontend, and, importantly, managing operations that require secret keys.
Built with Deno, they support TypeScript and JavaScript.
Troubleshooting: If issues arise with the Edge Function, the logs section within your Supabase project is a valuable resource for diagnosing problems.
Advanced Use Case: Custom Knowledge Base:
Generate or compile detailed information on a specific topic (e.g., using AI tools like Google Gemini to create a comprehensive report).
Store this information (e.g., as a PDF) in Supabase Storage by creating a new storage bucket and uploading the file.
Instruct Bolt.new to create a specialized “expert” character or feature within your application that uses the content of this stored document to answer user queries, effectively creating a custom, private knowledge base. This allows for highly targeted and context-specific AI interactions.
To integrate a voice agent into your project, the process begins by defining the core requirements. This typically involves setting up a backend function, such as a Supabase edge function, to handle the voice interaction logic. For the user interface, a clear visual cue, like a microphone button, is needed to initiate the voice chat. A key component is the text-to-speech (TTS) service, with ElevenLabs being a popular choice for its high-quality voices; you’ll need to manage your ElevenLabs API key, often by storing it as an environment variable within your backend setup (e.g., in Supabase project settings under “Edge Functions”).
Refining the user experience is crucial. Instead of requiring users to press a button for every turn in the conversation, aim for a more natural, continuous interaction. This involves implementing real-time audio processing and streaming capabilities. The flow should be: the user speaks, their speech is converted to text (Speech-to-Text), this text is sent to the AI model (like OpenAI’s), the AI’s text response is then streamed to the TTS service (e.g., ElevenLabs) for voice generation, and finally, the audio is played back to the user.
To achieve this seamless interaction, you might initially build out the individual components—Speech-to-Text, the AI chat assistant, and Text-to-Speech—and then create a flow that automatically passes the output of one component as the input to the next. For instance, the transcribed text from Speech-to-Text should automatically populate the input for the AI chat assistant, and the AI’s response should then automatically be sent to the Text-to-Speech service for conversion and playback.
The frontend can be simplified to enhance user focus. Instead of displaying all the underlying conversion boxes, the UI can feature just an avatar (representing the AI) and a microphone button. This keeps the interface clean and intuitive.
Personalization can significantly enhance the voice agent. ElevenLabs allows for the use of various pre-made or even custom-cloned voices. By obtaining the Voice ID for your chosen voice from your ElevenLabs account, you can configure your Text-to-Speech component to use it. Similarly, the visual avatar can be customized by adding an image to your project (e.g., in a public folder) and referencing its path in the UI component.
When using services like Supabase, be mindful of their pricing structure. While a base plan might be affordable, costs can increase with each additional project if your architecture requires separate Supabase instances for different applications. For multiple related web apps or features, consider consolidating them within a single Supabase project where feasible to manage complexity and costs effectively.
Integrating a payment gateway like Stripe into your application involves a few key steps to ensure a smooth user experience. First, you’ll need to link your Stripe account to your development environment, typically by providing your Stripe secret API key. This allows your application to securely communicate with Stripe’s services.
Once connected, the next crucial step is to define the product or service users will be paying for within your Stripe dashboard. This involves creating a new product, giving it a name, a description, and setting up its pricing model – for instance, a one-time purchase fee.
With the product established in Stripe, you can then select this specific product within your application’s integration settings. This links the payment flow to the correct item and price. Modern development tools can often automate much of the subsequent setup, which includes:
Creating necessary backend functions (like Supabase edge functions) to handle payment events, such as creating Stripe checkout sessions and processing webhook notifications from Stripe to confirm successful payments or handle other events.
Updating the frontend to include elements like a “purchase access” button.
Implementing user authentication and ensuring that access to the paid features is granted only after a successful transaction.
Generating essential user-facing pages, such as a login/signup page, a page to initiate the payment, and a success page to confirm the purchase and guide the user back to the application.
The goal is to create a seamless flow where a user can easily sign up or log in, initiate a payment for the product, be redirected to Stripe’s secure checkout, and upon successful payment, be granted access to the application’s premium features. Proper error handling and clear user feedback throughout this process are also vital components of a robust integration.
The advent of AI-powered tools now allows for the rapid generation of website clones from simple text prompts. For instance, by inputting a command like “create me a Netflix clone” into a platform such as bolt.new, the AI can outline core features, design elements, and then proceed to write the necessary HTML, CSS, JavaScript, and even backend configuration files. This process can produce a visually accurate front-end replica, complete with placeholder content relevant to the cloned site, such as show titles and imagery for a streaming service.
While this technology can replicate the look and feel of complex websites in minutes or even seconds, it’s important to understand that the deep, underlying functionality developed over years by teams of engineers isn’t instantaneously duplicated. However, these AI-generated clones serve as an excellent starting point, significantly lowering the technical barrier to entry for creating sophisticated web presences. The tool can generate a wide array of websites, from planetarium sites with exhibit and event sections, to Wikipedia-style information hubs, Spotify-like music platforms with player interfaces, and even social media layouts resembling Instagram or basic search engines like Google.
This ease of website creation shifts the primary challenge for online entrepreneurs from technical development to marketing and personalization. With the ability to quickly generate the structural and visual aspects of a website, the focus can then be placed on tailoring these platforms for niche audiences—for example, adapting a Spotify-clone framework for an independent band’s music—and then effectively marketing these unique offerings.
For those looking to leverage this capability, the process involves providing a clear prompt to the AI, which then handles the coding. The generated site can then be deployed. To add more specific functionalities, such as e-commerce payment processing (e.g., via Stripe) or custom databases (e.g., via Supabase), integrations are typically available within these AI platforms. This combination of AI-driven development and strategic marketing opens new avenues for building and monetizing online ventures, even for individuals without extensive coding backgrounds. Resources and courses are also emerging that guide users through building various types of online businesses, from agency websites and SEO tool sites to affiliate marketing platforms and local lead generation services, by combining these AI coding tools with proven marketing strategies.
One practical application is the development of specialized AI-powered design tools. For instance, consider an “AI Garden Design Generator.” Such a platform would allow users to input textual descriptions of their ideal garden, and the AI would generate visual representations of that design.
Integrating these powerful image models into a web application, especially when using an AI co-founder tool like Bolt.New, involves several key steps. A crucial aspect is securely managing API keys; this is often best handled by creating a backend function, such as a Supabase edge function, which processes requests to the AI model without exposing sensitive credentials on the client-side.
When prompting an AI coding assistant to build such functionality, precision is key. It’s important to:
Specify the exact AI image generation model to be used (e.g., “gpt-image-1” for the latest high-quality outputs, distinguishing it from older models like DALL-E).
Instruct the AI on how to handle API calls, including error management and the expected data structure for responses. For example, the OpenAI API might require a specific response_format like b64_json to ensure the image data is returned correctly.
Provide context from the AI provider’s official documentation to guide the AI coding assistant in implementing the features accurately.
Troubleshooting is an inherent part of this development process. Common issues can include the AI initially defaulting to an older or less capable image model, requiring explicit instruction to use the desired one. API integration can also present challenges, sometimes related to account verification with the AI provider (which might involve steps like identity verification) or ensuring the correct API parameters are used. Documenting these common pitfalls can help in resolving them more efficiently in future projects.
Ultimately, by carefully guiding AI development tools and understanding the nuances of the underlying AI models, developers can create sophisticated applications that harness the transformative power of AI image generation.