Our package management software uses machine vision and AI to automate your mailroom and front desk operations. PackageX Receive is easy to use, highly scalable, and works across industries, including:
Simply snap a photo of any package or delivery label (even handwritten! โ๏ธ), and our package management software will: ๐ Automatically extract all relevant information, ๐ Match deliveries to the correct recipients, ๐ Manage notifications, ๐ Send alerts and reminders to all recipients, ๐ Collect proof of pickups, and ๐ Keep track of every item that enters and leaves your mailroom
๐ Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide ๐ 100% powered by the cloud. No specialized hardware needed! ๐ Scan packages and notify recipients with the click of a single button ๐ Painless inbound and outbound package tracking ๐ Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient ๐ Users can assign a designated pickup person to collect all of their business's packages ๐ Real-time data and insightful analytics for smarter mailroom operation management ๐ Custom branding features to personalize email communication ๐ Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.
Based on our record, Hal9 seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At https://hal9.com, we built components for data science com native JavaScript to avoid the waiting times and download overhead if Pyodide. We found out the best tools for doing data science in the browser are a combination of Arquero and D3 and TensorFlow.js. At least for now. We wrote our findings of this and many other libraries here: https://news.hal9.com/posts/data-science-with-javascript. - Source: Hacker News / almost 2 years ago
Https://hal9.com helps data scientists build faster web applications. It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide. - Source: Hacker News / about 2 years ago
If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you! - Source: Hacker News / over 2 years ago
You can find more about this project at https://hal9.com โ We allow you to edit any block with JavaScript and to export the analysis as as embeddable HTML. You can also use Python or NodeJS if you need more advanced functionality. Source: over 2 years ago
We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks. If you want a demo or just time to chat, I'm available at javier at hal9.ai. - Source: Hacker News / over 2 years ago
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