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Testcraft is a test automation platform that turns Jira tickets into runnable Playwright, Cypress, and Selenium test code in seconds. How it works: 1. Connect Jira via OAuth (read-only) 2. Paste a ticket link or describe a feature in plain English 3. AI generates complete test code with assertions 4. Execute tests in an isolated cloud runner with pass/fail, logs, and screenshots Supports 6 languages (TypeScript, JavaScript, Python, Java, C#, Ruby) across 3 frameworks. Ten test types including E2E, API, Accessibility, Security, and Performance. Pricing: Free ($0/mo), Pro ($49/mo), Business ($149/mo).
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Ticket data API to help you scrape Ticketmaster, StubHub, SeatGeek and other ticket marketplaces with our fast, easy, and complete API. It supports Ticketmaster, StubHub, SeatGeek, Vivid Seats, TickPick, Gametime, Viagogo and 11 more marketplaces, and works from any programming language (Python, JavaScript, Go, Java, and more), MCP-compatible AI agents, or no-code tools. The API removes the hassle of maintaining a scraper for every marketplace, keeping up with changing pages, and normalizing different listing formats and fees. Every listing comes back in one schema with section, row, seats, quantity and the all-in price, plus optional seat maps.
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Mind Stack Labs (https://www.mindstacklabs.com/) is a Flutter-certified web and mobile app development company and AI automation service provider headquartered in Surat, Gujarat, India. Founded in 2018, the company has grown into a 50+ member engineering team that has shipped 200+ products for startups, scale-ups and enterprises across the USA, UK, Europe, Australia, UAE and Saudi Arabia. The team builds cross-platform mobile apps with Flutter, FlutterFlow and React Native, native iOS and Android apps, and modern web applications with React, Next.js and Angular. Backend and platform work covers Node.js, .NET, Laravel, Python, Firebase and Supabase, with subscription and paywall architecture backed by an official RevenueCat technology partnership. On the AI side, Mind Stack Labs designs intelligent automation systems using n8n, LangChain, OpenAI, WhatsApp Business APIs and Voice AI, along with AI CRM systems, AI customer support agents, business dashboards and internal tools that remo
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Xpoz is a social media intelligence platform that gives you structured access to billions of posts and users across Twitter/X, Instagram, Reddit, and TikTok. Search users, posts, comments, and communities using natural language or structured queries. 48 tools cover keyword and hashtag search, user lookups, comments, follower connections, TikTok sound search, and ongoing keyword and account tracking. Results come back in fast mode (up to 300 per query), unlimited pagination for full datasets, or CSV export for spreadsheets and BI tools. Teams use Xpoz for social listening, brand monitoring, market research, competitive analysis, influencer discovery, and OSINT. Access it whichever way fits the workflow: TypeScript SDK, Python SDK, CLI, a hosted MCP server for AI assistants like Claude and ChatGPT, plus Vercel AI SDK and LangChain integrations. The Free plan requires no credit card and covers up to 400,000 results; Pro is $20/month (up to 5 million results/month) and Max is $200/month (up to 100 million), with Enterprise options available.
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Is a browser-based, no-installation-required platform for learning programming through interactive "labs." It offers over 70,000 coding challenges across multiple languages (Python, JavaScript, React, Go, Rust, and more). The platform features several lab environment types—ranging from instant browser sandboxes to Docker containers and full virtual machines—allowing users to practice everything from simple algorithms to complex microservices and DevOps scenarios. Labs include an intelligent, context-aware interface with dynamic panels for objectives, coding with smart suggestions, real-time visualizations, and execution results. Code is evaluated on multiple dimensions: correctness (40%), efficiency (25%), code quality (20%), and security (15%). The platform also provides an AI tutoring system for hints and explanations, performance comparisons, and verifiable certificates upon completion.
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Cartesian DataSciences is a company that provides advanced analytics services such as predictive models or optimization. Many companies that claim to do analytics are actually using standardized tools to do things like cross tabs or data visualization. By contrast, Cartesian is writing code in Python or R. The company has 200 data scientists doing work under the supervision of PhDs. Tools and methods used in various projects include regression, clustering, Random Forest, Extreme Gradient Boosting (XGB), Markov Chains, genetic algorithms, multi-armed bandits, Pareto/NBD (Negative Binomial Distribution), Support Vector Machine (SVM), collaborative filtering, time series forecasting, and linear programming, among others. Several clients have won marketing awards for work that was done by Cartesian.
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Envio gives developers fast access to onchain data. HyperIndex is a multichain indexing framework. You list the contracts and events you want in a config file, write event handlers in TypeScript, and query the results through a GraphQL API. It supports any EVM chain, plus Solana and Fuel. HyperSync is Envio's blockchain data API, written in Rust. It returns filtered blocks, transactions and logs as an alternative to JSON-RPC, with client libraries for Node.js, Python, Rust and Go. Indexers can run locally, on your own infrastructure, or on Envio Cloud. Teams moving off subgraphs can use Envio's subgraph hosting, which migrates a subgraph to HyperIndex behind a subgraph-compatible GraphQL endpoint.
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Petal is building telepathic technology so that people can communicate with others with their minds. We mix artificial intelligence and neuroscience to facilitate the development of brain-computer interface applications. Our proprietary algorithms translate thoughts, mental states, and imagined movements into coded events that developers can use to create hands-free, voice-free experiences. We make the output of our algorithms available for desktop, mobile, web, VR, and AR developers through our telepathic software development kits. Currently, we support C++, Python, JavaScript, C#, and Unity3D. We do not produce our own hardware, however, we do support the major commercial BCI headsets and our SDKs have been used to build handless and voiceless interactions in gaming, IoT, extended reality, art installations, music, and robotics. We are seeking pre-seed funding and strategic advisors. Visit petal-tech for a demo or to request more information.
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Dev Monks is a product development agency that builds web apps, SaaS platforms, and mobile apps for startups, scale-ups, and enterprise teams. We handle the full cycle: discovery and requirements, architecture, development, QA, launch, and ongoing iteration. Our core services are SaaS platform engineering (multi-tenant architecture, enterprise web portals, backend and API development), mobile app development (iOS, Android, and cross-platform), rapid MVP development, and AI automation systems (agentic AI, custom LLM solutions, RAG, and workflow automation). We work in React, Next.js, Node.js, Python, Flutter, Webflow, and Framer, on GCP and AWS. Clients span fintech, telecom, renewable energy, healthcare, e-commerce, and real estate. Dev Monks has 8+ years of experience, 50+ products delivered, and 30+ in-house developers. We are the engineering arm alongside our sister design studio, Design Monks, so design and development ship together rather than being handed off.
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Spintax is a template language for producing many variants of a text from a single source. Beyond flat alternatives, it covers permutations that pick and order a subset, scoped variables, value-driven conditionals, locale-aware plurals and includes. The point is where variation comes from. Generating each text from a model costs money per output and drifts in quality across a large run — by page 400 the outputs converge on the same shapes. Spintax inverts that: have a model draft one richly varied template, review it once, then expand it locally, deterministically and for free. Every variation is one you defined, and an editor proofreads a single template instead of a thousand texts. The language is implemented by five independent open-source engines — JavaScript, PHP, Python, Object Pascal and .NET — all verified against one shared corpus of golden fixtures, so a template renders identically wherever it runs. Nothing calls a hosted service: rendering happens inside your own runtime.
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Alliance Software is a premier Australian custom software development company with over 20 years of experience in delivering tailored, robust, and user-friendly software solutions. Specializing in bespoke web and cloud applications, Alliance Software caters to a diverse clientele, including established businesses, government organizations, and tech startups. Their expertise spans various project types, such as custom business applications, new product development, existing software support, and AI-driven solutions. By focusing on understanding clients' unique business needs, Alliance Software ensures the creation of elegant and effective software that drives success. Key Features and Functionality: - Custom Business Applications: Development of tailored solutions that are both elegant and robust, designed to meet specific business requirements. - New Product Development: Assistance in bringing new ideas to market, leveraging experience from successfully funding and building their own startups. - Existing Software Support: Evaluation and enhancement of existing custom software systems, with a commitment to begin updates within two weeks. - AI-Driven Solutions: Implementation of artificial intelligence to streamline and grow businesses, offering consultations with AI specialists. - Software Design and User Experience : Provision of clear design strategies to ensure the development of user-friendly software. - Core Technologies: Proficiency in Python, Django, JavaScript, and mobile app development, ensuring modern and scalable solutions. Primary Value and Solutions Provided: Alliance Software addresses the challenges businesses face when seeking reliable software development partners. By offering local, stable, and expert services, they eliminate the risks associated with large, impersonal firms, unstable small providers, and the complexities of offshore development. Their commitment to understanding clients' goals and delivering customized solutions ensures that businesses receive software that not only meets their immediate needs but also supports long-term success. With a track record of over 400 successful projects and a 100% risk-free guarantee, Alliance Software stands as a trusted partner in the Australian software development landscape.
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SeedInov transforms businesses from AI-ready to AI-powered with production-grade solutions delivered in 30 days. We specialize in AI & LLM engineering, building custom solutions using ChatGPT, Claude, and proprietary models. Our expertise includes Retrieval-Augmented Generation (RAG) systems, fine-tuning, vector databases, and multi-agent workflows for intelligent automation. Our AI voice assistant development service creates 24/7 phone systems using Twilio integration—perfect for businesses that can't afford to miss calls. We've built voice AI receptionists, appointment schedulers, and lead qualification bots that sound natural and handle complex conversations. Through our generative AI services, we automate content creation, design workflows, and business processes using the latest models. Our SaaS development capabilities include full-stack web and mobile applications optimized for scale and performance. We also deliver computer vision solutions for real-time object tracking, image analysis, quality inspection, and performance analytics across industries from sports to manufacturing. What makes SeedInov different is our 30-day sprint methodology. While others take months in planning, we ship functional V1 products in four weeks, allowing you to validate ideas with real users and iterate based on actual data. With 100+ global clients, 20+ successfully deployed AI products, and 5+ years of experience, our portfolio spans e-commerce automation, legal tech AI, healthcare applications, sports analytics, and educational platforms. We work with startups needing rapid execution, VCs investing in AI companies, and enterprises exploring AI transformation. Every engagement includes transparent communication, production-ready code, and the option to start with a free 30-minute AI strategy session. Technology stack: Python, Node.js, React, OpenAI, Anthropic, Hugging Face, LangChain, TensorFlow, PyTorch, Twilio, AWS, Google Cloud. Ready to ship AI products that actually work? Let's talk.
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Groundlight AI offers a cutting-edge computer vision platform that enables users to interpret images using simple natural language queries, eliminating the need for complex coding or extensive data preparation. This innovative approach allows businesses to deploy customized AI models that deliver accurate results from day one, even without pre-existing datasets. By integrating machine learning with real-time human oversight, Groundlight ensures robust performance in dynamic environments, continuously learning and adapting over time. Key Features and Functionality: - Natural Language Queries: Users can pose questions in plain English, such as "Is the doorway open?" or "Are all workers wearing a safety harness?" to receive immediate, actionable insights. - Rapid Deployment: The platform allows for the immediate deployment of customized AI models without requiring pre-existing datasets, enabling businesses to implement computer vision solutions swiftly. - Proprietary Escalation Architecture: Groundlight's system combines machine learning with real-time human oversight, ensuring reliable results by escalating uncertain cases to human reviewers, thereby continuously improving model accuracy. - Developer-Friendly Integration: With a Python SDK and REST API, developers can easily integrate Groundlight's capabilities into existing systems, facilitating seamless adoption across various platforms. - Edge Inference Support: The platform offers specialized hardware for local inference, reducing latency, cost, network bandwidth, and energy consumption, making it suitable for real-time applications. - Comprehensive Security Measures: Groundlight employs industry-standard security and privacy practices, including end-to-end data encryption, to protect user data throughout the processing pipeline. Primary Value and User Solutions: Groundlight AI addresses the complexities and resource-intensive nature of traditional computer vision implementation by providing an accessible, efficient, and reliable solution. Businesses can transform existing cameras into intelligent sensors, automating surveillance, quality control, and process monitoring tasks. This capability enhances operational efficiency, reduces manual labor, and minimizes unplanned downtime. By enabling natural language interactions and offering rapid deployment, Groundlight empowers organizations to harness the power of computer vision without the need for specialized expertise, thereby driving innovation and competitive advantage in various industries.
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Labric is a comprehensive data infrastructure platform designed to transform unstructured laboratory data into organized, AI-ready datasets. By automatically capturing and structuring instrument data, Labric provides researchers with immediate access to their experimental results and offers decision-makers complete visibility into laboratory operations. This streamlined approach eliminates manual data handling, ensuring that every measurement is linked to its corresponding sample, protocol, and experimental conditions, thereby preserving critical context and facilitating seamless collaboration across research teams. Key Features and Functionality: - Automatic Data Ingestion: Labric connects directly to a wide range of laboratory instruments, enabling real-time data streaming without the need for manual exports or file transfers. - Contextual Data Structuring: The platform organizes data to align with laboratory workflows, maintaining relationships between samples, measurements, and protocols. This ensures that experimental context is preserved, even as team members transition. - Event-Driven Workflow Automation: Labric's infrastructure supports the automatic execution of workflows triggered by new data arrivals or experiment completions. Researchers can build complex pipelines with simple triggers and access structured data programmatically through a Python SDK. - AI-Powered Analysis: With structured and contextual data, Labric enables natural language queries, allowing researchers to ask complex questions and receive answers directly backed by their data. The platform also supports the generation of visualizations and dashboards, enhancing data interpretation. Primary Value and User Solutions: Labric addresses the common challenges faced by research laboratories, such as scattered data, manual data handling, and the loss of experimental context. By automating data capture and structuring, the platform significantly reduces the time spent on data management, allowing researchers to focus more on scientific discovery. The preservation of context ensures that knowledge remains intact despite personnel changes, promoting reproducibility and continuity in research. Additionally, Labric's AI capabilities empower researchers to derive insights more efficiently, accelerating the pace of innovation and enhancing decision-making processes within the laboratory environment.
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CloudMyDC is an Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) solution designed to simplify cloud computing, offering managed infrastructure, application hosting, and automation for businesses of all sizes. The platform enables users to easily deploy, scale, and manage their workloads while reducing costs and complexity. CloudMyDC helps organizations overcome the difficulties of managing IT infrastructure and application development by providing: • Scalable Cloud Infrastructure: Flexible compute, storage, and hybrid cloud solutions to meet diverse workload requirements. • Automated DevOps Tools: Pre-configured software stacks and automation for development in languages like Java, PHP, Node.js, and Python. • Application Hosting Services: Efficiently host applications with dedicated storage clusters for object, block, and file storage. • Managed WordPress Solutions: Reliable, fast, and scalable WordPress deployment options, available as single instances or clusters. • Simplified Management: Intuitive control panel and API for deploying servers, managing backups, and handling access control. Key Features and Benefits: • Rapid Deployment: Launch applications, databases, or instances in seconds with one-click deploy and pre-configured templates. • Cost Efficiency: Save significantly on cloud computing costs compared to major providers, with no hidden fees or long-term contracts. • High Availability: Ensure business continuity with a 99.99% uptime SLA and 24/7/365 technical support. • Security and Reliability: Safeguard workloads with advanced security measures and reliable infrastructure. • Flexibility and Compatibility: Support for various technologies, vendors, and platforms, along with custom golden images for unique needs. • CloudMyDC offers a robust, cost-effective platform to streamline cloud operations, foster innovation, and confidently support enterprise-grade workloads.
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ChatLLM by Abacus.AI is an advanced AI super-assistant designed to enhance productivity for professionals, students, and small teams. It integrates state-of-the-art language models (LLMs) such as GPT-4o, Sonnet-3.5, and Gemini 1.5, providing users with a versatile toolset for various tasks. ChatLLM offers functionalities including web querying, image and video generation, code execution, document interaction, and custom chatbot creation. It seamlessly integrates with platforms like Slack, Microsoft Teams, Confluence, and Google Drive, facilitating efficient collaboration and workflow automation. Key Features and Functionality: - Access to Multiple LLMs: Utilize top-tier models like GPT-4o, Sonnet-3.5, and Gemini 1.5 for diverse applications. - Web Querying: Retrieve up-to-date information directly through the assistant. - Image and Video Generation: Create visuals using models such as FLUX-1 PRO and DALL-E 3. - Code Execution: Generate and run Python code within the platform. - Document Interaction: Engage with various document types, including PDFs, for analysis and summarization. - Text Humanization: Adjust text tone to be professional, humorous, or caring. - Custom Chatbots and AI Agents: Develop and deploy tailored chatbots and AI workflows. - Integrations: Connect with tools like Slack, Microsoft Teams, Confluence, and Google Drive for streamlined operations. Primary Value and User Solutions: ChatLLM addresses the need for a comprehensive AI assistant capable of handling a wide array of tasks, thereby reducing the reliance on multiple disparate tools. By integrating cutting-edge LLMs and offering extensive functionalities, it empowers users to automate complex processes, enhance collaboration, and improve overall efficiency. Its seamless integration with popular platforms ensures that teams can maintain their existing workflows while leveraging advanced AI capabilities.
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AI Video API is a comprehensive platform designed to simplify and enhance video creation through artificial intelligence. It enables developers, marketers, and content creators to generate high-quality videos from text descriptions or static images effortlessly. With support for multiple AI models, including RunwayML, the API can produce videos up to 36 seconds long—significantly surpassing industry standards. Its user-friendly design ensures seamless integration into various applications and workflows, making advanced AI video generation accessible and efficient. Key Features: - Text-to-Video Generation: Convert natural language prompts into engaging videos quickly and easily. - Image to Animated Video: Transform static images into dynamic animated videos, enhancing visual storytelling. - Extended Video Length: Generate videos up to 36 seconds long, offering eight times the length of many competitors. - Dual Output Formats: Receive both high-quality videos and optimized GIFs suitable for diverse sharing platforms. - Real-Time Alerts and Webhook Support: Stay informed with instant notifications and status updates on video generation requests. - Seamless Integration: Easily integrate the API into any framework with official support for Python, Node.js, JavaScript, PHP, and more. Primary Value and Solutions: AI Video API addresses the growing demand for efficient and scalable video content creation. By automating the video generation process, it reduces the time and resources required to produce high-quality videos. This empowers users to focus on creativity and strategy, knowing that the technical aspects are handled seamlessly. Whether for marketing campaigns, social media content, or application development, AI Video API provides a robust solution that enhances productivity and innovation in video creation.
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Hackreels is an innovative platform designed to help developers and content creators produce high-definition code animations quickly and effortlessly. By transforming static code snippets into dynamic, visually appealing animations, Hackreels enhances the presentation of coding concepts, making them more engaging and accessible. Key Features and Functionality: - Syntax Highlighting: Supports a wide range of programming languages, including React, Python, Solidity, CSS, Rust, Astro, and Vue, ensuring accurate and vibrant code representation. - Automatic Code Diffing: Detects and animates code changes automatically, streamlining the creation of instructional content. - Customization Options: Offers fine-grained controls over padding, border radius, shadows, and more, allowing users to tailor animations to their preferences. - Gorgeous Themes: Provides hand-crafted code themes, wallpapers, and gradients to enhance visual appeal. - Multiple Aspect Ratios: Supports various resolutions, including 16:9, 1:1, and 9:16, for maximum flexibility across different platforms. - Transparent Videos: Enables export of animations as overlays for integration into other media. Primary Value and User Solutions: Hackreels addresses the challenge of effectively communicating complex coding concepts by enabling users to create visually engaging code animations. This capability is particularly beneficial for: - Social Media Growth: Sharing animated coding tips to expand online communities. - Documentation Enhancement: Incorporating animated videos to demonstrate API usage. - Presentations and Talks: Embedding animated snippets in presentations and conference talks to convey topics more effectively. - Product Announcements: Showcasing new APIs or product features through animated code videos. - Tutorials: Creating end-to-end animations to illustrate feature development in code. By simplifying the creation of high-quality code animations, Hackreels empowers users to produce compelling content that enhances understanding and engagement.
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USAddressParser is a Python library designed to parse unstructured United States address strings into their individual components using advanced natural language processing (NLP techniques. By employing a probabilistic model, it effectively identifies address elements such as street number, street name, city, state, and ZIP code, even in complex scenarios where traditional rule-based parsers may fail. This tool is particularly useful for developers and data analysts who need to standardize and structure address data for applications like geocoding, data cleaning, and database management. Key Features and Functionality: - Probabilistic Parsing: Utilizes a conditional random fields model to make educated guesses in identifying address components, enhancing accuracy in parsing diverse address formats. - Component Labeling: Breaks down addresses into labeled components such as 'AddressNumber', 'StreetName', 'PlaceName', 'StateName', and 'ZipCode', facilitating structured data representation. - Flexible Usage: Offers methods like `parse` for splitting address strings into components and `tag` for merging consecutive components and stripping commas, providing versatility in handling address data. - Customizable Mapping: Allows users to remap labels to their own format by passing a mapping dictionary to the `tag` method, enabling integration with existing data schemas. Primary Value and Problem Solved: USAddressParser addresses the challenge of converting unstructured address data into a structured format, a common requirement in data processing tasks. By automating the parsing process with a probabilistic approach, it reduces manual effort, minimizes errors, and improves the efficiency of applications that rely on accurate address information. This is particularly beneficial for businesses and organizations dealing with large datasets containing varied address formats, ensuring consistency and reliability in address data management.
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Codestral is an open-weight generative AI model developed by Mistral AI, specifically designed for code generation tasks. It assists developers in writing and interacting with code through a unified instruction and completion API endpoint. Proficient in over 80 programming languages—including Python, Java, C, C++, JavaScript, and Bash—Codestral also supports less common languages like Swift and Fortran, making it versatile across various coding environments. Key Features and Functionality: - Multi-Language Support: Trained on a diverse dataset encompassing more than 80 programming languages, ensuring adaptability to different development projects. - Code Completion and Generation: Capable of completing coding functions, writing tests, and filling in partial code using a fill-in-the-middle mechanism, thereby streamlining the coding process. - Integration with Development Environments: Accessible via a dedicated endpoint (`codestral.mistral.ai`), facilitating seamless integration into various Integrated Development Environments (IDEs). Primary Value and User Solutions: Codestral significantly enhances developer productivity by automating routine coding tasks, reducing the time and effort required for code completion and test generation. Its extensive language support and advanced code understanding minimize errors and bugs, allowing developers to focus on complex problem-solving and innovation. By integrating smoothly into existing workflows, Codestral democratizes coding, making advanced AI-assisted development accessible to a broader range of users.