TinyPNG (by Tinify) is a free image optimization service built for developers and designers. It utilizes smart lossy compression to reduce the file sizes of JPEG, PNG, WebP, and AVIF files by up to 80% with no visible quality loss. That means faster load times, better SEO, and lower bandwidth.
You can compress, convert, and resize images via a clean web interface or integrate it into your workflow with the API. The platform also provides an image CDN for fast global delivery of optimized assets. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. WordPress plugin included, plus plenty of community-driven integrations.
No tuning, no noise, Tinify just works. Whether you're optimizing a handful of images or processing millions, it scales effortlessly. All plans include a generous free tier, and support is quick when you need it.
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CirrusPrint helps you manage and streamline your printing and document delivery across multiple networks. It solves cloud migration issues related to printing and provides the fastest and most direct way to deliver documents to users. With CirrusPrint, traditional network printing is still possible without any changes to operations. You can also print to your users, email your printers, and send a file from your smartphone to a printer anywhere in the country. CirrusPrint can be used on Windows or Linux, either in the cloud or at your own data center. It can accept print jobs and other documents, compress them, and deliver them to remote printers and users. It is easy to integrate with applications. You can print to it as any network printer, email files, drop files into the device, or use REST API. CirrusPrint jobs are sent quickly and securely to remote printers as exact duplicates of the original job.
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ArchiverFS
ArchiverFS offers a file archiving solution designed for servers and network storage systems, enabling any device to function as secondary storage. This solution has a minimal impact on the host system and provides comprehensive support for cloud integration, distributed file systems (DFS), replication, de-duplication, and data compression. With ArchiverFS, users can utilize any NAS, SAN, or cloud service to store older unstructured files, as long as it can be shared over the network using a UNC path and formatted with NTFS. Notably, the system operates without relying on a database for storing files, their pointers, or metadata—utilizing NTFS exclusively throughout the process. Furthermore, ArchiverFS facilitates the bulk transfer of outdated files from primary storage to secondary storage, while ensuring that all file attributes, permissions, and directory structures are preserved. Additionally, users can leave behind various links in place of the relocated files, including fully functional symbolic links that replicate the appearance and behavior of the original files seamlessly. This innovative approach not only streamlines storage management but also enhances the efficiency and organization of file systems.
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condense.chat
Condense.chat is an innovative API designed for compressing input for language models, functioning as a drop-in proxy that effectively reduces the size of prompts, retrieved documents, tool outputs, and recurring agent contexts prior to reaching the main models. By minimizing context while maintaining the integrity of Claude Code, it intercepts an agent's expanding session history and processes it through compression models, enabling long-running coding agents to operate with fewer tokens at the start of each new turn. Acting as an intermediary between applications and upstream LLM providers, Condense meticulously tracks conversations as a content-addressed chain, seamlessly compressing any repeated context along the way. Developers can easily integrate this system by directing their SDK to the Condense provider route, adding a Condense key, and retaining their existing provider key without needing to make any additional changes. Compatibly, it supports routes for both Anthropic and OpenAI, and also offers pass-through functionalities for other provider pathways, including model lists and embeddings, ensuring a versatile integration. This makes it an invaluable tool for optimizing interactions with language models while enhancing overall efficiency in processing and managing session data.
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