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Selector Forge is a browser extension designed to assist developers and automation engineers in creating robust CSS and XPath selectors. It leverages artificial intelligence to generate selectors that are not only functional but also semantic, meaning they are more resilient to changes in web page structure and styling. This tool is particularly useful for anyone involved in web scraping, browser automation, or testing, where the fragility of selectors can often lead to maintenance headaches and broken scripts. The core problem Selector Forge addresses is the inherent brittleness of selectors generated by traditional browser developer tools. These tools often produce selectors that are overly dependent on specific DOM structures, class names, or element order. Consequently, even minor updates to a website's design can render these selectors invalid, causing automation scripts to fail. This leads to significant time and effort spent on debugging and updating selectors, hindering productivity and the reliability of automated processes. One of the key features of Selector Forge is its AI-driven selector generation. Users can select a single element or an array of elements on a webpage, and the AI will analyze the DOM to construct a selector. This process goes beyond simple element identification; it aims to create selectors that are more semantic and less likely to break when the page's underlying code is modified. The extension prioritizes stable attributes and semantic meaning over brittle class names or positional data. Another significant capability is the generation of selectors for arrays of elements. Traditional tools often struggle with this, requiring manual workarounds. Selector Forge can identify multiple elements that share common characteristics and generate a single, robust selector that targets all of them, streamlining the process for tasks involving lists or collections of data. The extension's focus on resilience means that the generated selectors are designed to withstand common website updates. By analyzing stability signals such as `aria-label`, `data-testid`, and stable text content, Selector Forge aims to create selectors that remain valid even after minor layout shifts or class name changes. This significantly reduces the maintenance overhead associated with web automation and scraping projects. Selector Forge operates as a browser extension, integrating seamlessly into the user's workflow. Users can interact with the extension directly on the webpage they are working with. The AI analyzes the DOM in real-time to provide selector suggestions. The extension also provides feedback on how many elements a selector matches, offering transparency into the AI's decision-making process. The primary benefit of using Selector Forge is the creation of more reliable and maintainable web automation scripts and scraping tools. By reducing the frequency of selector failures due to website changes, users can save considerable time and resources. This leads to more stable automated processes, improved development efficiency, and greater confidence in the accuracy of data extraction and UI testing. Concrete use cases for Selector Forge include building robust web scrapers that can extract data from dynamic websites without constant recalibration. It's also invaluable for creating stable end-to-end tests for web applications, ensuring that tests continue to pass even after minor UI updates. Developers working with browser automation frameworks like Playwright or Selenium will find it particularly useful for generating selectors that minimize test flakiness. Selector Forge is available as a free browser extension for Chrome and Firefox, offering up to 200 selector generations per month. Paid plans provide unlimited usage. The project is open-source, with its code available on GitHub, encouraging community contributions and transparency. The developers also plan to offer CLI and MCP integrations for coding agents. In summary, Selector Forge empowers developers and automation engineers by providing an AI-driven solution for generating semantic and resilient CSS and XPath selectors, significantly reducing the common pain point of flaky selectors in web automation and scraping.

AlsonAI is an AI-assisted storytelling studio designed to help users create fully illustrated and editable books from their written content. The platform allows individuals to transform a few sentences into a complete book, complete with a choice of 8 distinct art styles. Users can regenerate images to refine visual elements, edit text on a page-by-page basis, and then publish their creations directly to Amazon Kindle or Paperback formats with a single click. The problem AlsonAI addresses is the traditional barrier to book creation, which often involves significant time, resources, and technical skill for both writing and illustration. Many aspiring authors may have compelling stories but lack the means to bring them to life visually or the desire to navigate the complex publishing process. AlsonAI aims to democratize book creation by leveraging AI to streamline these processes, making it accessible to a wider audience. A key feature of AlsonAI is its AI-assisted storytelling engine, which takes user input and generates an illustrated book. This includes the ability to select from 8 different art styles, allowing for customization of the book's visual aesthetic. The platform also offers image regeneration capabilities, enabling users to iterate on visual elements until they are satisfied. Furthermore, the text of the story can be edited directly within the platform, providing granular control over the narrative. The Editor Mode represents a significant advancement, allowing authors to directly edit and refine their story text after the initial generation. This moves beyond a static output, enabling users to revise wording, adjust the flow of the narrative, and improve scenes. This feature ensures that the final manuscript remains under the author's direct creative control, aligning with the vision of user-owned storytelling. AlsonAI also focuses on maintaining visual consistency throughout the book. When users regenerate images, the AI works to preserve the integrity of characters, scenes, backgrounds, and key objects. This ensures a cohesive and professional look for the final publication, even with iterative visual adjustments. Paid books include up to 10 image regenerations, while free previews offer up to 5, providing ample opportunity for refinement. The overall workflow of AlsonAI is designed to be intuitive and efficient. Users begin with their manuscript, which is then processed by the AI to create an illustrated book. The subsequent editing and regeneration phases allow for detailed customization. The final step is a one-click publishing option to Amazon Kindle and Paperback, simplifying the distribution process. The benefits for users include the ability to share meaningful stories, engage audiences more effectively through visually appealing content, and potentially earn royalties from their published works. The platform empowers creators by providing them with the tools to bring their literary visions to life without the traditional hurdles. Concrete use cases for AlsonAI include independent authors looking to publish children's books, educators creating custom learning materials, families documenting personal stories, or businesses developing engaging content for their audience. The platform is versatile enough for various narrative forms and visual styles. AlsonAI is positioned as a tool for authors, creators, and anyone with a story to tell. The platform is built on technologies like AWS, Google Cloud Platform, and ChatGPT by OpenAI. While specific pricing tiers are not detailed, the mention of "paid books" and "free previews" suggests a freemium model. In essence, AlsonAI empowers individuals to become published authors by providing an AI-driven platform that handles illustration, editing, and publishing, ensuring the user retains full ownership and creative control over their stories.

Backgrind is designed to run AI agents seamlessly over any application, including fullscreen games, without requiring users to stay tethered to a terminal. It provides an always-on-top window that only pings the user when an actual decision or input is required from them. This allows for continuous work or entertainment while AI tasks are being processed in the background. The core problem Backgrind addresses is the inefficiency and distraction of traditional AI agent workflows. Users often find themselves babysitting terminals, unable to perform other tasks or enjoy their applications. This leads to lost productivity and a fragmented user experience. Backgrind aims to solve this by integrating AI agent interaction directly into the user's existing workflow, minimizing interruptions and maximizing parallel activity. One of the key features is the always-on-top window. This window floats over any application, ensuring the AI agent's status and any required interactions are readily visible. It can be made semi-transparent and configured for click-through, meaning it remains present without obstructing the user's primary application. This design ensures that the AI agent is accessible but not intrusive. Another significant capability is the selective notification system. Backgrind is engineered to only alert the user when a decision is genuinely needed. This threshold-based notification system prevents constant interruptions, allowing users to focus on their current task or game. When an interaction is required, the system provides a clear prompt, such as a simple yes/no option, which can be handled with a single tap or click. Backgrind supports multiple AI agents simultaneously through its multi-agent tabs feature. This allows users to manage and interact with several AI tasks concurrently. The system can distinguish between different agents and their specific needs, providing context-aware prompts. This is particularly useful for complex projects or when managing diverse AI-driven processes. For users seeking a zero-setup experience, Backgrind includes 'Grindy,' a built-in agent. This agent is pre-configured and ready to use, simplifying the onboarding process. Alternatively, users can bring their own preferred AI agents, such as Claude Code or Cursor, integrating them into the Backgrind environment. This flexibility caters to both novice and advanced users. The product operates on a local-first principle, emphasizing user privacy and data ownership. User logins and history are managed locally, meaning sensitive information does not need to be shared with new third-party services. For voice interactions, on-device transcription using whisper.cpp is employed, ensuring that audio data remains on the user's machine. The primary benefit for users is enhanced productivity and a more fluid workflow. By minimizing interruptions and allowing parallel task execution, Backgrind frees up users to engage in other activities, whether it's coding, emailing, or gaming, while their AI agents work in the background. The system ensures that user interaction is only solicited when it directly impacts the outcome of an AI task. Concrete use cases include developers running code generation or debugging agents while simultaneously working on other parts of their project or even playing a game. Researchers could monitor data analysis agents while drafting reports, or designers could oversee AI-powered asset generation while working on mockups. The system is versatile enough to support various professional and personal workflows. Backgrind is available for macOS and Windows. It supports bringing your own CLI agents like Claude Code and Cursor, or using the built-in Grindy agent. Privacy is a key consideration, with local-first data handling and on-device voice transcription. Specific pricing or plan details are not explicitly mentioned in the provided content. In essence, Backgrind redefines AI agent interaction by moving it out of the terminal and into an unobtrusive, always-accessible overlay, ensuring users are only engaged when their input is critical, thereby maximizing productivity and user experience.

AI unit economics platform for AI companies

AI support agent, help center & changelogs in a single inbox

The last line of defence before your code hits git history

Build a room of ambient sound that lives in your notch

The hidden-role spy game you can play with friends online

Fast LLMs for low-latency and high-performance workflows

Slack is a comprehensive team communication and collaboration platform designed to streamline how teams interact and work together. It consolidates essential communication tools, file sharing capabilities, and a wide array of app integrations into a single, unified interface. The primary goal of Slack is to enhance team connectivity and operational efficiency, supporting both in-office and remote work environments. The challenge Slack addresses is the fragmentation of team communication and workflows across multiple disparate tools. Historically, teams relied on a mix of email, instant messaging, file-sharing services, and project management software, leading to information silos, lost productivity, and difficulty in maintaining a cohesive team dynamic. Slack aims to solve this by providing a central hub where all these elements can converge, reducing context switching and improving overall team synergy. Key features of Slack include robust messaging capabilities, organized into channels for different projects, teams, or topics. This allows for focused conversations and easy retrieval of information. File sharing is seamlessly integrated, enabling users to upload, share, and collaborate on documents directly within conversations. Furthermore, Slack supports threaded conversations, which help keep discussions organized within channels, preventing important messages from getting lost in the general flow. Another significant feature is its extensive app integration ecosystem. Slack connects with over 2,000 third-party applications, allowing teams to bring their existing workflows and tools directly into Slack. This includes project management software, CRM systems, code repositories, and design tools, enabling users to receive notifications, take actions, and share updates without leaving the Slack interface. Slack also offers features like Huddles for quick, informal audio conversations and video calls, facilitating spontaneous collaboration. Its search functionality is powerful, allowing users to quickly find messages, files, and people across their entire workspace, ensuring that information is always accessible. The platform's approach centers on creating a digital headquarters for teams. By centralizing communication and integrating with essential work tools, Slack aims to become the primary interface for daily team operations. This unified approach minimizes the need to switch between multiple applications, thereby reducing distractions and improving focus. The benefits for users include enhanced team productivity, improved collaboration, and greater organizational efficiency. By centralizing communication and workflows, Slack helps teams reduce internal email volume, stay better informed, and make decisions faster. The platform's ability to integrate with other tools also maximizes the return on investment for existing software. Specific use cases for Slack include real-time project coordination, where teams can discuss progress, share updates, and resolve issues quickly in dedicated channels. It's also used for customer support, allowing support teams to communicate internally and share customer feedback. Marketing teams can use it for campaign planning and execution, while engineering teams can monitor deployments and incident responses. Slack is available as a web application, desktop application for Windows, macOS, and Linux, and mobile applications for iOS and Android. It offers a freemium model, with a free plan that includes limitations on message history and integrations, and paid plans for businesses requiring more advanced features and support. The platform is built on a robust infrastructure designed for scalability and reliability. In summary, Slack serves as a vital platform for modern teams, offering a centralized, integrated, and efficient way to communicate, collaborate, and manage workflows, ultimately driving productivity and team cohesion in any work environment.

a small hosted memory layer for AI agents

Surf like it's 1999

Trading journal + prop-firm fee & payout tracker

Locally Increase Resolution of Images

Design tokens and Figma variables, always in sync.

Collaborative, proactive AI coworkers who work in Slack

Search your handwritten diaries and notebooks

AI video studio: text & image to video, with real control

Find out if you live forever in the brain of the LLMs

Preview and share your coding work live as it happens

60 second ultrasound-based full-body scanner that beats MRI

Capture, drag, share all from the MacBook notch

A perpetual auction for eight ad squares

Turn any API into an MCP server for AI agents

Automate your entire backlink generation

Send any file, any size, straight from browser to browser

Private AI dictation that lets you operate offline.

The ultimate 1-click hunter for blocked macOS ports

Edit anything on the web with change tracking

Al Companion for macOS

Autonomous penetration testing platform

Your AI workspace for terminals, tasks, and agents

Build unreal games with AI agents

Build grounded, governed, trustworthy data agents

One API for WhatsApp: messaging, calling, and AI agents

Ploy turns your website into your company's growth engine.

Otty is a native, GPU-accelerated terminal application specifically designed for macOS users who prioritize a fast, beautiful, and minimal user experience. It aims to provide a superior terminal environment that is a pleasure to use on its own, and is particularly optimized for developers who frequently run multiple code agents concurrently. The problem Otty addresses is the increasing complexity and performance degradation experienced when using traditional terminals alongside modern AI code agents. Many existing solutions attempt to integrate AI features by adding numerous UI elements, which can make the terminal feel cluttered and slow. Otty's core purpose is to offer a streamlined experience, focusing on the terminal's fundamental performance and usability, especially when handling the demands of multiple agent processes. One of Otty's key features is its GPU acceleration, utilizing Metal on macOS. This ensures that rendering is handled efficiently by the graphics card, preventing the terminal from stuttering or lagging even when running several agent processes simultaneously. This optimization is crucial for maintaining a smooth user experience, allowing the CPU to focus on actual computational tasks rather than terminal redraws. Session recovery is another significant capability. Otty is designed to recover not just the terminal layout and scrollback, but also the state of running processes. For specific agents like Claude Code and tmux, it can resume sessions using dedicated commands. For other terminal commands, it aims to recover the commands themselves based on configurations, ensuring that long-running tasks and contexts are not lost due to unexpected interruptions. Otty also offers a flexible split-pane system that is managed on a per-tab basis. Users can create custom layouts within each tab and save them for later use. This feature allows for efficient organization of multiple agent outputs or different command-line tasks within a single window, enhancing productivity and workflow management. The product's overall approach is one of "Optimization, not complexity." Otty is built to be a terminal that is genuinely good to use, rather than just a platform to bolt AI features onto. It focuses on core terminal functionalities like smooth caret and scrolling, clickable links and file paths, and drag-and-drop split panes, all while maintaining a minimal and beautiful aesthetic. The benefits for users include a significantly smoother and more responsive terminal experience, especially when dealing with demanding workloads involving multiple code agents. The session recovery feature reduces the pain of losing work, and the organized layout options improve overall efficiency and focus. Concrete use cases for Otty include developers running multiple AI code agents like Claude Code, Codex, or OpenCode side-by-side for different tasks. It's also ideal for users who manage long-running processes, such as server development, data analysis scripts, or continuous integration tasks, where session persistence is critical. Otty is a free, Mac-native application. While it doesn't have built-in AI assistants, it is designed to be the optimal environment for running the AI code agents users already prefer, embodying a "Bring Your Own Code agent" philosophy. The product is developed by Abner Lee and leverages technologies like Metal for its GPU acceleration. In summary, Otty provides a fast, beautiful, and highly optimized native terminal experience for macOS users, particularly those leveraging AI code agents, by focusing on core performance and essential features like session recovery and efficient layout management.

Free, local AI powered Voice to Text w/ live transcriptions

See what Reddit and TikTok honestly think about your product

AI that gets you *and* the people in your life, together

The AI company brain that does work for you

Turn Apple Health workouts into a private route map

Clipboard history for Mac, right under the notch.

Agentic frontend layer between Figma and Cursor & Claude

Upstream is an innovative email client designed to transform the way individuals manage their inboxes. It aims to make email feel light, fast, and enjoyable by integrating AI agents that work alongside users. The primary purpose is to reduce the burden of email management, allowing users to focus on more important tasks. The problem Upstream addresses is the overwhelming nature of modern inboxes, where users often drown in a high volume of messages. The traditional email client experience can be time-consuming and inefficient, leading to missed communications and decreased productivity. Upstream seeks to solve this by introducing a more intelligent and automated approach to handling email. One of the key features of Upstream is its ability to automatically triage your inbox. AI agents work behind the scenes to sort messages, distinguishing important communications from noise and surfacing only what truly deserves your attention. This helps users cut through the clutter and focus on what matters most. Another significant capability is the AI-powered drafting of replies. For every conversation that requires a response, Upstream generates a draft, adapting its tone and style to match the context of the conversation and the recipient. This significantly speeds up the response process and ensures consistency in communication. Upstream also excels at managing open loops and ensuring follow-ups are never missed. Its agents actively track ongoing conversations and provide timely reminders, preventing important discussions from falling through the cracks and ensuring accountability. The platform offers powerful AI-driven search capabilities, allowing users to ask questions and instantly retrieve information from their inbox and connected tools. This includes finding receipts, meeting notes, introductions, decisions, and past conversations, consolidating context in one accessible place. To enhance its functionality, Upstream integrates with various external tools. Agents leverage information from platforms like Notion, Calendar, Drive, and Granola to produce more accurate answers and contextually relevant drafts, creating a more unified workflow. Upstream operates on a model where AI agents act as collaborators rather than just tools. The system is built to handle the grunt work, allowing users to delegate tasks earlier in the process. For instance, instead of manually reading and processing an email before seeking AI assistance, users can immediately involve an agent in the conversation. This fundamentally changes the user's interaction with their inbox, fostering a sense of teamwork with the AI. The benefits for users include a significantly reduced email workload, improved response times, and enhanced organization. By automating routine tasks and providing intelligent assistance, Upstream frees up users' time and mental energy, leading to greater productivity and a more pleasant email experience. Upstream can be used in various scenarios. Professionals can leverage it to manage high volumes of client communications, ensuring timely responses and follow-ups. Teams can use it to streamline internal communication, with agents helping to sort and draft messages. Individuals can benefit from its ability to quickly find information scattered across their digital workspace. Upstream is available for free, with a Pro Plan offering additional features. It integrates with existing Gmail accounts, keeping everything in sync. The product is designed for individuals and teams looking to optimize their email workflow and leverage AI for productivity. In summary, Upstream redefines the email experience by integrating AI agents as active participants, automating tedious tasks, and providing intelligent assistance to make managing your inbox efficient, fast, and even enjoyable.

Free Figma agent + Import anything to Figma

Build anywhere. Govern in Retool.

Read 2–5x faster with zero effort

Say it and it's done. JARVIS for your computer

Stop building Apollo/Clay lists. Search the live internet.

The most powerful AI employee, now in Microsoft Teams