SmrtLnks

SmrtLnks is a link shortener designed for anyone who wants more control over where their traffic goes. You can create a short link and send visitors to different destinations based on their country, so everyone lands on the most relevant page.Each link includes a dynamic QR code that can be updated even after it's been printed, detailed click analytics by country and traffic source, automatic UTM parameter appending, password protection, AI-powered link health monitoring, webhooks, and a REST API on paid plans.The free plan includes 5 links and up to 1,000 clicks per month. Paid plans start at just $5/month.

IndexMyURL

IndexMyURL is a cutting-edge SaaS platform designed to accelerate the discovery and indexing of your URLs by both traditional search engines like Google, Bing, Yahoo, DuckDuckGo, and Yandex, as well as leading AI search engines including ChatGPT, Perplexity, Gemini, and Claude. It serves as the only URL indexer that covers both traditional and AI search engines in a single campaign, making it an essential tool for SEO professionals, link builders, agencies, and independent site owners aiming for comprehensive online visibility. Key Features Dual Indexing Campaigns: One credit provides two results – Google crawl signals and AI search discovery. Google Crawl Signals: A 15-day cycle with 14 signal rounds, verified on days 8 and 15, ensuring Googlebot visit confirmation. AI Search Discovery: Real-time IndexNow notification to Bing (powering ChatGPT Browse & Copilot), direct signals for PerplexityBot, Google crawl signals for Gemini, and open-web discovery for Claude via Brave Search. Flexible Pricing: Pay-per-URL model with no subscription, and credits that never expire. Auto Refund Guarantee: Automatic refund if Googlebot or Bing does not visit your URL within 15 days. Smart Submission: Free validation of URLs (404s, redirects, noindex) before credits are charged, supporting CSV, sitemap, and RSS imports for up to 10,000 URLs per campaign. Use Cases IndexMyURL is invaluable for SEOs and content creators who need to ensure their valuable backlinks, such as guest posts, niche edits, and citations, are quickly discovered and indexed. Without proper crawl signals, these links can remain invisible to search engines for weeks, diminishing their SEO value. IndexMyURL solves this by actively sending signals to Googlebot, significantly reducing the time to discovery and ensuring your link-building efforts yield results faster. Furthermore, with the rise of AI search engines, appearing in platforms like ChatGPT, Perplexity, Gemini, and Claude is crucial for modern content visibility. IndexMyURL provides a unique solution by simultaneously targeting these AI engines through their respective discovery paths, ensuring your content is not only found by traditional search but also by the next generation of information retrieval systems. This comprehensive approach guarantees maximum exposure for your digital assets. Pricing Information IndexMyURL operates on a flexible pay-per-URL model, eliminating the need for subscriptions. Users purchase credits that never expire, allowing them to use the service as needed. Plans range from 800 credits for freelancers at $15 to 15,000 credits for agencies at $249, with per-URL costs as low as $0.016. A 15-day auto-refund guarantee is provided if Googlebot or Bing does not visit the submitted URL, and 10 free credits are offered to new users to start without a credit card. User Experience and Support The platform features a live dashboard that allows users to track the real-time status of their URLs, showing progress from “queued” to “indexed” with Googlebot visit confirmation. The interface is designed for ease of use, supporting bulk URL submissions via paste, CSV, sitemap, or RSS feed. Users receive email notifications for campaign completion and refund alerts. Priority support via live chat ensures quick assistance, and full API access is available for integration into existing workflows. Technical Details IndexMyURL leverages various mechanisms to achieve its indexing goals, including sending direct crawl signals to Googlebot and utilizing the IndexNow protocol for real-time notifications to Bing. Bing’s index, in turn, powers AI platforms like ChatGPT Browse and Microsoft Copilot. The service also facilitates discovery by PerplexityBot’s independent crawler and ensures visibility for Claude via Brave Search’s open-web index, demonstrating a multi-faceted technical approach to web discovery. Pros and Cons Pros: Comprehensive coverage: Indexes for both traditional search (Google, Bing) and major AI engines (ChatGPT, Perplexity, Gemini, Claude) in one campaign. Cost-effective: No subscription, credits never expire, and competitive pricing per URL. Risk-free: 15-day auto-refund guarantee if Googlebot or Bing doesn't visit. Efficient bulk processing: Supports CSV, sitemap, and RSS imports for thousands of URLs. Transparency: Real-time dashboard and tracking of Googlebot visits and AI search confirmations. Cons: No direct control over final indexing decision: While signals are sent, the ultimate indexing is at the discretion of the search engines. Google indexing cycle: The 15-day cycle for Google, while effective, is not “instant” compared to Bing’s IndexNow. Niche focus: Primarily an indexing tool, not a full-suite SEO platform. Conclusion IndexMyURL offers a powerful and unique solution for ensuring your web content and backlinks achieve maximum visibility across the evolving landscape of traditional and AI search engines. Its dual-pronged approach, combined with a user-friendly interface and a strong refund guarantee, makes it an indispensable tool for anyone serious about SEO and digital discovery. Explore IndexMyURL today to get your URLs discovered everywhere.

PetClues

PetClues is a premium digital health platform for companion animals. It securely centralizes medical records, vaccinations, medications, laboratory reports, reminders, emergency information, and digital pet passports into a single intelligent timeline, making lifelong pet healthcare effortless, accessible, and beautifully organized.

AXELR AI

AXELR AI, An Intelligence Execution platform, Can turn Messy and unstructured data in perfect business assets, Build UI layouts in seconds and Can deploy them live with just a click.

EdgeDL

<p>EdgeDL is an innovative SaaS platform designed to simplify the deployment of Deep Learning and AI models on edge devices. It acts as a comprehensive library and model generator, enabling developers to configure neural networks specifically for microcontrollers and other resource-constrained hardware. Its primary purpose is to empower engineers, developers, and IoT innovators to bring advanced AI capabilities directly to the edge, optimizing performance and reducing latency.</p> <h2>Key Features</h2> <ul> <li><strong>Microcontroller-Optimized Neural Network Configuration:</strong> Tailor AI models specifically for the unique constraints of microcontrollers, ensuring efficient resource utilization.</li> <li><strong>Deep Learning Model Generator:</strong> Automate the creation and customization of deep learning models, accelerating development cycles.</li> <li><strong>Extensive AI Model Library:</strong> Access a curated collection of pre-trained and customizable AI models ready for edge deployment.</li> <li><strong>Edge AI Deployment Simplification:</strong> Streamline the process of porting and running complex AI algorithms on low-power edge devices.</li> <li><strong>Intuitive Neural Network Configuration Interface:</strong> Easily define and adjust neural network architectures without deep expertise in low-level programming.</li> </ul> <h2>Use Cases</h2> <p>EdgeDL is invaluable for a wide range of applications where real-time processing and minimal latency are critical. For instance, in industrial IoT, it can be used to deploy predictive maintenance models directly onto factory sensors, allowing for immediate anomaly detection and preventing costly equipment failures without relying on cloud connectivity. Similarly, in smart home devices, EdgeDL enables on-device voice recognition or gesture control, enhancing user privacy and responsiveness by processing data locally.</p> <p>Another significant use case is in wearable technology and health monitoring. Developers can leverage EdgeDL to embed sophisticated activity recognition or vital sign analysis algorithms into tiny, power-efficient wearables. This not only extends battery life but also ensures that sensitive health data is processed securely at the source, reducing bandwidth requirements and improving data privacy. The platform empowers innovators to create smarter, more autonomous edge devices across various sectors, from agriculture to automotive.</p> <h2>Pricing Information</h2> <p>While specific pricing details are not provided, EdgeDL is expected to offer a flexible subscription-based model, likely including a freemium tier for evaluation and small projects. Enterprise-level plans would typically feature advanced support, custom model development, and scalable deployment options. Users should check the official website for the most current pricing structures and potential free trial opportunities.</p> <h2>User Experience and Support</h2> <p>EdgeDL is designed with an intuitive user interface, making the complex task of configuring neural networks for microcontrollers accessible even to those without extensive embedded AI experience. The platform likely provides comprehensive documentation, step-by-step tutorials, and example projects to guide users through the model generation and deployment process. This focus on ease of use aims to lower the barrier to entry for edge AI development.</p> <p>For advanced users and enterprise clients, dedicated technical support channels, including email and community forums, are anticipated to ensure smooth operation and assist with specific integration challenges. Regular updates and feature enhancements would also be part of the ongoing commitment to user satisfaction.</p> <h2>Technical Details</h2> <p>EdgeDL leverages cutting-edge deep learning frameworks and optimization techniques to generate highly efficient models suitable for resource-constrained environments. It likely supports various microcontroller architectures and embedded operating systems, providing a versatile solution for diverse hardware. The underlying technology would focus on model compression, quantization, and efficient inference engines to maximize performance on the edge.</p> <h2>Pros and Cons</h2> <h3>Pros:</h3> <ul> <li><strong>Optimized for Microcontrollers:</strong> Specifically designed for low-power, low-memory edge devices.</li> <li><strong>Accelerated Development:</strong> Model generator and library significantly speed up AI deployment.</li> <li><strong>Reduced Latency & Enhanced Privacy:</strong> Enables on-device processing, minimizing reliance on cloud.</li> <li><strong>Accessibility:</strong> Simplifies complex deep learning for embedded systems developers.</li> </ul> <h3>Cons:</h3> <ul> <li><strong>Potential Learning Curve:</strong> Users new to embedded AI might still face initial challenges.</li> <li><strong>Hardware Specificity:</strong> Optimal performance may require specific microcontroller compatibility.</li> <li><strong>Customization Limits:</strong> Pre-generated models might not cover all niche requirements without further fine-tuning.</li> </ul> <h2>Conclusion</h2> <p>EdgeDL stands out as a powerful platform for democratizing deep learning on the edge, offering a streamlined approach to developing and deploying AI on microcontrollers. By bridging the gap between advanced AI and resource-constrained hardware, it unlocks new possibilities for intelligent IoT devices. Explore EdgeDL today to transform your embedded systems with cutting-edge artificial intelligence.</p>