SolaDrip 2025: Solana Token Creator 💰🔗

SolaDrip is a user-friendly platform designed to empower users to create and manage custom Solana blockchain tokens without requiring any coding knowledge. It simplifies the process with features like Phantom wallet connection, intuitive token design (name, symbol, supply, decimals), direct Solana launch, and liquidity pool creation with SOL, all managed through a clear tracking dashboard.

This project stands out as my first significant venture into the fintech space, making it an exceptionally cool and educational experience in building decentralized applications.

The platform is built using a modern and powerful tech stack. The frontend leverages React (with TypeScript), styled with Tailwind CSS and Shadcn/UI, with React Query for data management and Wouter for routing. The backend runs on Node.js with Express, utilizing a PostgreSQL database managed via Drizzle ORM.

Crucially, its blockchain integration relies on Solana Web3.js for core interactions, secure Phantom wallet integration, and the Raydium SDK for liquidity pool operations.

Developed with Vite and TypeScript for a robust development experience and deployed on Replit, SolaDrip provides a responsive, mobile-first application.

Its use case is to democratize token creation on Solana, offering a secure and low-friction path for users to engage with DeFi, which I believe makes it a truly innovative fintech tool.

Make Up Mania (Hackathon Winner) 🏆💄

Make Up Mania proudly secured the win at the Vonage / Ericsson-sponsored hackathon during Developer Week 2024. This innovative platform serves as a vibrant hub connecting makeup enthusiasts, influencers, and professionals through dynamic features like live video streaming, interactive tutorials, and advanced speech recognition.

The project was conceived to address a key challenge in the online beauty space: the fragmentation of makeup tutorials and the absence of a unified platform for real-time learning, sharing, and connection. Make Up Mania provides a centralized solution where users can engage directly with influencers, participate in personalized sessions, and easily discover new products based on their interactions.

The technical foundation of Make Up Mania was built using HTML, CSS, and JavaScript to create an engaging and aesthetically pleasing user interface. The platform's core functionalities are significantly enhanced by the integration of Vonage APIs:

• The Vonage Video API powers real-time tutorials and personalized beauty sessions via live video chat.
• The Vonage Signaling API facilitates seamless user interaction and collaboration directly within web browsers, enabling features like real-time messaging and notifications.
• The Web Speech API (similar in concept to Vonage Voice API for keyword spotting) enables speech recognition, allowing the platform to capture keywords during sessions and recommend relevant makeup products.

Developing Make Up Mania was a particularly cool project as it was my first deep dive into Vonage's telecommunication products. This sparked immense curiosity and motivated a creative approach to API integration. Exploring the Vonage Signaling API, for instance, provided valuable insights into the intricacies of video chat functionalities and the importance of smooth browser-to-browser communication, offering a glimpse into how popular platforms like TikTok might manage real-time interactions.

For a more detailed account of the project and its journey, you can read the official highlight on the Vonage Developer Blog: Developer Week 2024 Hackathon Winner Highlight: Make Up Mania.

You can also watch an interview discussing the project and the hackathon experience:

Rizz3000: AI Social Wingman 😎🧠

Rizz3000 is an innovative AI tool designed to be your personal, incognito wingman for social interactions, flirting, and more. Inspired by the movie "Hitch," the concept was to create a personal AI assistant that could provide real-time social guidance.

The platform is built using a robust tech stack including OpenAI GPT-4 for its advanced language understanding and generation, Python and Flask for the backend logic, and HTML, CSS, and JavaScript for the user interface. SQL is utilized for data management. A key technical achievement was developing a continuous recording and listening functionality paired with an efficient response loop, a challenge tackled months before OpenAI's "Vision" feature was released. This allows Rizz3000 to listen, process, and advise in real time.

The primary use case for Rizz3000 is to support individuals who may feel shy or require encouragement in social settings. In an age where direct social interactions can be daunting for some, Rizz3000 offers appropriate, respectful, and engaging conversation starters and responses. It aims to enhance social skills and promote positive communication methods, acting as a social evolution tool to combat awkward interactions.

This project was particularly cool as it involved a deep dive into integrating various cutting-edge technologies to solve a unique human-centric problem. The journey from concept to a functional prototype involved significant learning in planning, research, development, and production, especially in combining OpenAI's GPT-4 with a real-time audio interface to ensure a seamless user experience. Future plans include adding diverse AI characters and voices, reducing latency, and further refining the user experience.

Meet Mr. Pizza an AI Assistant Chat Bot for Pizzerias! 🍕💬 🍕🤖

Explore how this innovative AI Assistant revolutionizes the pizza restaurant experience. It's expertly designed to streamline customer inquiries—from taking orders and answering frequently asked questions about menu items or business hours, to managing reservations. This significantly enhances overall customer service by providing instant and accurate responses.

The technological backbone of Mr. Pizza is a robust stack: OpenAI GPT-4 provides the advanced conversational AI, while RAG (Retrieval Augmented Generation) ensures responses are grounded in the restaurant's specific data (menus, specials, policies). The backend is built with Python and the lightweight Flask framework, ensuring efficiency. A responsive and intuitive user interface is delivered using JavaScript and Bootstrap, and secure online order payments are facilitated through Stripe integration.

The primary use case is to serve as a tireless, 24/7 virtual assistant for pizza establishments. This not only elevates customer satisfaction with immediate support but also offers the potential to significantly cut operational costs and free up valuable staff time. By automating routine interactions, human employees can dedicate their efforts to higher-value tasks. This project is particularly compelling as it showcases a practical, impactful application of sophisticated AI to address tangible business needs in the competitive food service sector, making advanced AI accessible.

Discover how it can empower businesses with AI-driven solutions, leading to increased efficiency and customer delight!

#OpenAIrealtime #GPT4 #AIAssistants #AIAgents #AIChatbots #Pizza #RAG #Python #Flask #JavaScript #Bootstrap #Stripe

iliketomoveit 🚚🏠

I developed iliketomoveit.nl, a dedicated lead capturing website designed to generate high-quality leads for moving companies. The platform was built using foundational web technologies including HTML, CSS, and JavaScript for the front-end, with PHP handling server-side operations.

The system's core use case is efficient lead management. Upon capturing a lead, details are instantly transmitted to the client via SMS 📱 through a Zapier integration, enabling prompt engagement with potential customers. Simultaneously, all prospect information is automatically logged into Google Sheets for streamlined data management, record-keeping, and analysis.

To enhance lead quality and targeting, the system incorporates Python scripts for scraping relevant lead data and area codes. This project is particularly cool because it provides a practical, automated solution for a common business challenge. It streamlines the lead acquisition and distribution process, directly impacting the client's operational efficiency and sales pipeline by delivering actionable leads in real-time, making it a valuable tool for any service-based business looking to grow.

Bol Stock Bot 🛒📈

The Bol Stock Bot is a Python script designed to check a specific product's stock on bol.com at specified times. It then logs this data into a text file or CSV for further analysis.

The script logs all inventory data, which can then be transformed into charts. These visualizations help track how fast a product is moving, providing valuable data for Business Intelligence decisions.

This allows users to make informed decisions on how to stock their products or compete effectively, especially if they don't have the budget for bol.com's official API. It's a cool project because it provides a practical, cost-effective solution for gathering crucial market intelligence and gaining a competitive edge.

Charcuterie Board API 🧀🍖🍇

Project: This fun little API contains information on popular meat snacks and common charcuterie board ingredients. It's a basic API presented in JSON format, designed to be a simple and accessible data source for culinary enthusiasts or developers.

What makes this project cool is its straightforwardness and practicality for learning or small-scale applications. It demonstrates core API principles without unnecessary complexity, making it an excellent resource for anyone looking to understand or experiment with JSON-based APIs or to quickly integrate charcuterie data into a fun project.

Goudengids Scraper 🔎📊

This Python script efficiently crawls and scrapes the Goudengids (Dutch Yellow Pages) to extract valuable business information, including names and telephone numbers, based on user-defined industries and locations.

Operating directly from the terminal, the script is built purely with Python, showcasing its power for web automation and data extraction tasks. The collected data can be conveniently logged into either a text file or a CSV, making it ready for analysis or import into other systems. This functionality is particularly useful for lead capturing, allowing users to systematically gather contact details for targeted marketing campaigns or sales prospecting.

The coolness of this project lies in its simplicity and effectiveness. It provides a powerful, no-cost alternative to expensive lead generation services, empowering users to build custom contact lists for specific business needs. This direct approach to data acquisition can significantly streamline outreach efforts and provide a competitive edge. details

Rocket Copywriter Saas/Desktop App 🚀✍️

Project: Rocket Copywriter is an all-in-one marketing software suite, designed for copywriters and content creators. It features an AI Content Generator powered by GPT-4 and integrates various API tools, such as a paraphraser and a keyword research tool (from RapidAPI), to streamline content creation.

The platform, built with ReactJS for a responsive front-end, allows users to generate high-quality marketing copy and distribute it directly to major platforms including Facebook, Twitter, LinkedIn, and via SMS, typically in under five minutes. This rapid creation and deployment capability makes it highly efficient.

One of its key use cases is for lead capturing, as it enables the quick generation and dissemination of targeted promotional content. The coolness of this project lies in its comprehensive, integrated approach, offering a powerful suite of tools that significantly accelerates the content marketing workflow from ideation to multi-platform distribution, empowering users to enhance their outreach and engagement efforts effectively.

SMS Login System 🔒📱

Project: This system provides a robust user login verification mechanism. It leverages a Python and Flask backend to generate unique SMS codes, which are then dispatched to users via an SMS API sourced from RapidAPI. The frontend, built with Bootstrap, offers a clean interface for users to enter the received code, ensuring a safe and secure login process.

A key use case for this system is lead capturing and validation. By requiring SMS verification during sign-up or contact form submissions, businesses can confirm the authenticity of phone numbers, thereby enhancing the quality of their leads for marketing and sales follow-ups. This method also adds a crucial layer of security, acting as a form of two-factor authentication (2FA) to protect user accounts.

The project's appeal stems from its practical and efficient integration of common web technologies to address a vital security concern. It showcases how Python (Flask), Bootstrap, and external APIs like RapidAPI can be combined to create a functional and secure feature. This SMS login system is a cool example of building a valuable tool that enhances both user security and data quality for businesses with minimal complexity.