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Tag: nocode

  • Create a MOBILE app in 5 minutes with Replit and Expo – iOS / Android Supported



    Date: 02/12/2025

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    Okay, so this video is about creating mobile apps directly within Replit using Expo, even on your phone. Sounds wild, right? It walks you through building a basic cat image generator app to showcase how easily you can get started with React Native and cross-platform development. For someone like me, who’s been diving into AI-assisted coding and no-code solutions, this is super interesting. We’re always looking for ways to prototype and iterate faster.

    What’s compelling here is the low barrier to entry. Expo Go lets you test your app live on your phone, and Replit handles the development environment right in the browser. Think about it: previously, setting up a local React Native environment could be a day-long affair with potential dependency headaches. Now, you can spin up a project in minutes. For automation workflows, imagine quickly building a custom mobile interface for a specific task without needing a full-blown IDE or complex build process.

    This aligns perfectly with my current workflow. I’ve been experimenting with using LLMs to generate React components, and being able to immediately drop that code into a Replit/Expo project and see it running on my phone is a huge win. I’m thinking about automating tasks that were previously stuck on desktop, giving them mobile interfaces and the ability to react to real world conditions. It’s definitely worth experimenting with—the speed and accessibility could unlock some serious productivity gains.

  • The Acceleration Is Still Accelerating: Why Every AI Prediction Was Too Conservative (even mine)



    Date: 02/09/2025

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    Okay, folks, let’s talk about this Dave Shapiro video – especially if you’re like me and diving headfirst into the AI-assisted coding world. Essentially, Dave’s showcasing how to build complex applications by cleverly connecting no-code platforms like Bubble or Zapier with Large Language Models (LLMs). The magic is using the LLMs for the heavy-lifting like natural language processing, data transformation, or even code generation, then piping the results back into your no-code app. Think of it as augmenting the limitations of your no-code setup with the raw power of AI.

    For us developers, this is gold. We’re already familiar with the pain points of legacy systems or the bottlenecks in traditional development. This video provides a pathway to bypass those issues by offloading complex tasks to LLMs. Imagine automating customer support with a chatbot that writes code snippets for common user problems, or building a sophisticated data pipeline that automatically cleans and formats data for your reporting dashboards – all orchestrated through a no-code interface. It’s about blending the speed and accessibility of no-code with the intelligent problem-solving capabilities of AI.

    Honestly, the idea of building full-fledged, automated workflows that would’ve taken weeks to code by hand, now configurable in hours, is incredibly enticing. It encourages experimentation and allows you to rapidly prototype and iterate on your ideas without getting bogged down in complex coding environments. I’m personally eager to try connecting a Laravel backend to a no-code front-end, using an LLM to handle data transformations and dynamically generate UI components. The possibilities are pretty much limitless, and the potential for productivity gains is massive. Definitely worth checking out!

  • ToolJet 3.0 Launch



    Date: 02/07/2025

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    Okay, so this ToolJet 3.0 video is all about leveling up internal tool development, and it’s *definitely* worth a look for those of us diving into the AI-assisted, no-code world. Basically, they’ve revamped their platform to make building internal apps way faster and more intuitive. They’re talking a 10x speed increase in the app builder – that’s huge! Plus, they’ve doubled down on security, expanded their integrations, and baked in AI capabilities through Portkey, OpenAI, and Pinecone. In essence, they are aiming to streamline your development lifecycle.

    Why is this exciting for us AI-focused developers? Well, the faster app builder means less time wrestling with UI components and more time experimenting with AI workflows. The AI integrations, in particular, are interesting. Imagine building a custom CRM that uses OpenAI to automatically summarize customer interactions, or an internal dashboard that leverages Pinecone to provide intelligent search across your documentation. I can see this being useful in so many different projects.
    These internal tools, if built properly, could also be used as effective ways to test models and automations internally, with a dedicated GUI.

    For me, what really grabs my attention is the focus on automation and AI. This isn’t just about slapping an AI chatbot onto an existing platform; it’s about embedding AI throughout the entire development process. It’s worth experimenting with because it could significantly reduce the time and effort required to build and maintain internal tools, freeing us up to focus on more complex, strategic projects. Honestly, who wouldn’t want to explore a platform that promises to make internal tool development faster, smarter, and more secure? It’s about making our lives easier, one internal tool at a time!

  • INSANE OpenAI Realtime API Alternative For Voice AI Agents



    Date: 02/05/2025

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    Okay, this Ultravox video is seriously inspiring for anyone diving into AI-powered automation, and here’s why I think it’s worth your time. The video is essentially a head-to-head comparison between OpenAI’s Realtime API and Ultravox, an open-source speech-to-speech model. Ahmed shows how you can build AI voice agents, specifically for querying SQL databases, and the results are surprisingly similar, but at a fraction of the cost (like 5 cents a minute!). He even dives into cool features like Call Stages, AI voice cloning, function calls and WebRTC integration that can help improve latency.

    Why is this crucial for us? Well, as we move from traditional PHP/Laravel development to incorporating LLM-based workflows, the cost and control over our AI tools become paramount. Instead of relying solely on proprietary APIs, Ultravox presents a viable alternative. We can host it ourselves, tweak it to our specific needs, and potentially save a boatload of money in the process. Think about automating customer support, building internal data querying tools, or creating voice-activated interfaces for existing applications – all things we can potentially do without breaking the bank.

    From my experience, experimentation is key. I’ve been burned by vendor lock-in and unpredictable API costs before. Ultravox offers a chance to build robust, cost-effective AI voice solutions. The demo in the video, especially the SQL query example, immediately sparked ideas for automating some of the tedious reporting tasks in my current projects. It’s time to roll up our sleeves and explore what we can build by bringing the power of open-source to our toolchain.

  • How This UGLY Website Makes $46,000/Month



    Date: 02/05/2025

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    Okay, so this video about “ugly websites” making serious money is right up my alley. It’s basically diving into the business models of sites like TractorData.com, DiskPrices.com, DrudgeReport.com, and Craigslist.com to show that you don’t need a fancy design to rake in cash, especially with display ads. For someone like me, who’s been moving towards AI-driven development and no-code solutions, it’s a reminder that functionality and niche focus can be way more important than pixel-perfect aesthetics.

    What makes this valuable is the validation it provides for building simple, effective solutions using modern tools. I mean, think about it: we can use AI to generate content, automate link building (like with Link Whisper, which is mentioned), and even create entire workflows without obsessing over every design detail. This video highlights that focusing on delivering value to a specific audience and monetizing effectively is where the real win is. We can use no code tools like Bubble or WeWeb paired with backend functionality from Laravel to get a beautiful mix of scalability and speed!

    This concept is super applicable to real-world projects. Imagine using an LLM to generate targeted content for a niche site, then deploying it quickly with a simple no-code front end. You could test and iterate rapidly without getting bogged down in design debates. Personally, the idea of building a profitable side project by prioritizing functionality and leveraging AI tools is incredibly inspiring. It’s a nudge to experiment, to stop chasing perfection, and to start delivering real value quickly, without all the bloat.

  • Automate Your Browser with AI Using StageHand AI Agent



    Date: 02/02/2025

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    Okay, this StageHand AI agent looks seriously cool! The video basically shows you how to automate browser tasks and web scraping using AI. Instead of writing complex scripts with brittle selectors that break every time a website changes, you can use natural language instructions. The demo walks through extracting movie data from IMDb and GitHub repo descriptions – super practical stuff.

    As someone knee-deep in transitioning to AI-enhanced development, this resonates big time. We’re talking about replacing tedious, error-prone manual tasks with something that’s more resilient and adaptable. The video highlights StageHand’s use of Playwright for robust automation and its compatibility with OpenAI, Claude, and Gemini. Imagine building a workflow where an LLM figures out *how* to get the data from a website, and StageHand executes it. That’s a huge step towards true “no-code” automation – defining the *what* and letting the AI handle the *how*.

    Think about automating lead generation, data aggregation, or even complex e-commerce workflows. The possibilities are endless. Plus, it’s open source and free, so you can tinker with it and build custom solutions without breaking the bank. Honestly, the potential time savings and efficiency gains make it worth carving out some time to experiment with StageHand. I’m already thinking about how I can integrate this into my existing Laravel projects to automate some of the more repetitive web-based tasks. Definitely adding this to my “must-try” list!

  • Bolt DIY + Free Deepseek R1 API : This is THE BEST FREE & FAST AI Coder!



    Date: 01/29/2025

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    Okay, this video on using Bolt DIY with Groq’s free Deepseek R1 API is seriously exciting. It basically shows you how to build apps *in seconds* using an incredibly fast, open-source AI model. We’re talking Llama 3.3 level power, but potentially faster and cheaper due to Groq’s optimized infrastructure. They also show other providers that also let you run the same model for free.

    What makes this valuable is how directly it addresses the shift towards AI-assisted development. Imagine prototyping a new feature, generating a microservice, or building a proof-of-concept app, all in a fraction of the time it used to take. This is the promise of no-code/low-code platforms combined with the raw power of LLMs, and this video delivers a concrete example. The fact that it also supports image attachments and speech-to-text just adds another layer of real-world applicability.

    I’m particularly interested in experimenting with the Groq API and comparing its performance against other models I’ve been using. The ability to download the generated code and tweak it further is crucial because, let’s be honest, AI-generated code isn’t always perfect. But having a head start and being able to rapidly iterate? That’s a game-changer, and something I’m eager to incorporate into my workflows to boost my own productivity, and make my solutions more cost effective. This is absolutely worth checking out.

  • How to add Apple home screen widgets to React apps



    Date: 01/29/2025

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    Okay, so this video about Evan Bacon’s `npx create-target` command for building iOS home screen widgets in React with Expo Router is definitely something I’m digging into. It’s all about bridging that gap between React Native and native platform features in a super streamlined way. For someone like me, who’s been wrestling with platform-specific code for ages, the idea of instantly scaffolding widget functionality with a single command? That’s gold! It resonates with my whole move towards no-code/low-code solutions and using LLMs to generate boilerplate.

    Why is it valuable? Because widgets are engagement touchpoints! Imagine using LLMs to generate dynamic widget content based on user data pulled through a Laravel API. Think real-time order status updates, personalized content feeds – all sitting right on the user’s home screen. This isn’t just about slapping a React component onto iOS; it’s about creating a direct, actionable connection with users. I can see myself using this to rapidly prototype widget ideas and using AI to quickly iterate on designs and functionalities.

    Honestly, the fact that it’s using Expo Router is what really piques my interest. I’ve been using Expo for years to abstract away the complexity of native builds, and the Router adds a familiar web-dev feel. The promise of instantly adding interactive elements to iOS devices is genuinely inspiring. I’m excited to experiment with this to create widgets for some of my existing Laravel-powered mobile apps and see how I can generate cool features.

  • The CORRECT way to use Deepseek R1 with n8n



    Date: 01/27/2025

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    Okay, so this video is all about building AI agents using Deepseek R1 and n8n, a no-code automation platform. Sounds pretty cool, right? As someone knee-deep in Laravel for years, I’ve been actively exploring ways to offload repetitive tasks and inject some serious AI power into my workflows. What caught my eye here is the combination of Deepseek (a powerful LLM) with n8n’s visual interface. Think of it as visually wiring up complex AI processes without writing a ton of code.

    The real value for me lies in the potential for rapid prototyping and automation. Imagine automating lead qualification, content creation, or even complex data transformations, all orchestrated through a visual workflow. Instead of spending days wrestling with API integrations and custom scripts, you could visually design these AI agents, test them, and deploy them quickly. Plus, n8n’s free tier makes it super accessible to experiment with.

    Honestly, it’s worth checking out because it represents a shift in how we can approach development. Instead of getting bogged down in the nitty-gritty code for every task, we can leverage these no-code tools to focus on the bigger picture – designing intelligent systems that solve real-world problems. I’m personally excited to dive in and see how this combo can streamline my development process and free me up to focus on more strategic initiatives.

  • Better Than Cursor, Bolt, Lovable, V0 and Webflow? Replit AI Coding Power in 2025!



    Date: 01/26/2025

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    Okay, so this video is about Replit AI and how it’s potentially eclipsing other tools like Cursor, Bolt, V0, and even Webflow. The claim is that it’s a one-stop-shop, a powerhouse for both developers and no-coders building SaaS apps and scaling existing projects.

    Why’s this interesting *now*, as we’re diving into AI-assisted workflows? Because Replit AI is being positioned as a way to unify a lot of different functionalities under one roof. We’re talking about moving beyond just code completion to something that potentially handles more of the application lifecycle. If Replit AI can genuinely combine the code-centric aspects of something like Cursor with the rapid prototyping of Webflow, that’s a massive time-saver. Think about it – rapidly iterating on a design with AI assistance and then *immediately* having the code scaffolded out for you. That’s the dream!

    For me, the real appeal is the potential to bridge the gap between “no-code” and “real code.” I’ve seen firsthand how frustrating it can be when a no-code platform hits a wall and requires a complete rewrite. If Replit AI can help generate *clean*, maintainable code from a visual interface, that’s a game changer for productivity and maintainability. I’m definitely going to try it out with a small project.