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35,738 results · Page 727 of 993

LeafPad

Other AI tools

Leafpad is an automation tool for SEO content refreshes that helps websites continuously keep existing page content fresh, accurate, and optimized for search and AI discovery, and publishes updates after approval. It first uses a free scan to check which pages under a domain are losing traffic, then combines Search Console data with the pages themselves to provide specific refresh suggestions, such as outdated statistics, weak opening answers, and missing internal linking opportunities. It supports WordPress, Shopify, Ghost, Webflow, Framer, as well as websites built with Lovable, Bolt, Replit, and also supports natively publishing content from Claude, ChatGPT, Cursor, Copilot. Users can review refreshed content item by item before going live, or schedule new content to publish automatically, and the tool handles SEO settings such as internal links, meta tags, and sitemaps along the way.

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Leakly homepage

Other AI tools

Leakly is a free website conversion rate optimization (CRO) audit tool. Users only need to enter a URL, and Leakly will load the page in a real browser, inspect the copy, forms, and mobile journey, identify the friction points causing visitor loss, and provide prioritized fix recommendations with evidence. It gives a conversion score from 0-100, shows each leak point on the page through annotated screenshots, ranks them by impact and effort, and includes rewrite suggestions that can be pasted directly. Leakly covers desktop and mobile, and runs speed and stability checks on pages in the conversion path. It provides 32 public, versioned rules across six categories, and each finding links to the rule behind it, the required evidence, and the fix. The conversion score is calculated from findings, not determined by a language model, so rerunning the same website produces a consistent score. Leakly is suitable for teams that want to increase trials, demos, checkouts, or form submissions, and also for agencies auditing client websites in bulk. It offers a free plan and a paid plan, and the paid plan can connect analytics data such as GA4, PostHog, and Stripe to weight each leak point by traffic and revenue. Leakly does not replace analytics tools, nor does it prove that changes will definitely improve conversion.

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LeanTaaS

AI learning

LeanTaaS is a company that uses AI, predictive analytics, and machine learning to help hospitals and outpatient service providers optimize capacity management. Its iQueue cloud platform covers scenarios such as operating rooms, infusion centers, and inpatient beds, using real-time insights and predictions to reduce cancellations, waiting, and overtime, and improve resource utilization and patient experience. Officially, it states that customers can achieve ROI such as approximately $100,000 in additional revenue per operating room per year, approximately $20,000 per infusion chair per year, and approximately $10,000 per inpatient bed per year.

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Leapility

AI agents

Leapility is positioned as the trading and distribution hub for the professional knowledge economy in the agent era. Its core idea is to transform expert knowledge into subscribable AI Agent Kits (knowledge kits), thereby generating continuous revenue. The platform emphasizes four stages: packaging an individual's multimodal professional knowledge, such as documents, text, audio, and video, into a Kit containing a knowledge base, Playbook, skills, and agents; enabling the Kit to be invoked across multiple platforms through MCP and CLI while protecting the underlying IP through black-box delivery; allowing creators to build, test, run, and continuously iterate the Kit within Agent OS; and achieving monetization through subscription and other transaction models. According to the official explanation, the revenue split is 80% for creators and 20% for the platform. Leapility is aimed at experts who have an audience and trust, advocates no-code creation through natural language and a visual interface, charges no licensing fees, and states that credits only cover compute costs with no markup, and can be obtained through subscriptions, top-ups, onboarding, referrals, and the Expert 100 program. At present, the official text does not provide details such as specific feature demonstrations, supported models, launch dates, or platform compatibility lists, and some information is not yet available.

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Learna AI

AI learning

Learna AI is an app that uses AI-assisted learning, speaking practice, and language training, focused on making spoken English and Spanish learning easy. The app is available on Google Play under the package name com.codeway.aitutor. According to its store page information, the app states that it does not share data with third parties, but may collect data types such as location and personal information; data is encrypted in transit, and users can request data deletion. Apart from the above information, details about its specific features, course system, pricing method, supported platforms, and usage steps are not currently provided.

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Learnara

AI learning

Learnara is a visual, interactive learning platform designed to help learners understand difficult concepts. It offers short, visual interactive lessons, combined with quizzes and challenges, allowing learners to master knowledge through practice. The platform has more than 75,000 learners and supports personalized learning, daily habit building, and gamified motivation. It is suitable for learners at all levels, from beginners to experts, and is especially helpful for subjects such as science, physics, geometry, data structures, and algorithms. Users can enter any question to receive a personalized lesson.

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Learning to See

AI learning

Learning to See is a series of machine learning art works created by artist Memo Akten, exploring how human cognitive biases shape our "seeing" and understanding of the world. The series includes several videos and an interactive installation: a custom neural network analyzes live camera footage pointed at a table covered with everyday objects in real time, and attempts to reconstruct what it sees in real time using its training data and learned knowledge. The work aims to reveal that what we see is not a mirror of the world, but a reconstruction based on our own expectations and prior beliefs, thereby prompting reflection on empathy, social and political polarization. The project includes an open-source demo, with source code and pre-trained models available for download.

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