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! βοΈ), and our package management software will: π Automatically extract all relevant information, π Match deliveries to the correct recipients, π Manage notifications, π Send alerts and reminders to all recipients, π Collect proof of pickups, and π Keep track of every item that enters and leaves your mailroom
π Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide π 100% powered by the cloud. No specialized hardware needed! π Scan packages and notify recipients with the click of a single button π Painless inbound and outbound package tracking π Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient π Users can assign a designated pickup person to collect all of their business's packages π Real-time data and insightful analytics for smarter mailroom operation management π Custom branding features to personalize email communication π Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.
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Based on our record, Causal App seems to be more popular. It has been mentiond 17 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.
IMO the better paradigm is coming from enterprise applications like Anaplan. Cells are not the right abstraction to work with numbers. Most of the time you work with multi-dimensional quantities (eg revenue by product, geography, month). Weβre working on a more approachable implementation of that paradigm at https://causal.app. - Source: Hacker News / 22 days ago
We're using Hypertune at https://causal.app for a few months now and it's been great! We have a few feature flags in there but also some more complex typed data for our onboarding modals. - Source: Hacker News / about 1 year ago
Congrats on the launch! We've been using Hypertune at Causal (https://causal.app) for the last few months and it's saved tonnes of engineering cycles letting me and our PM iterate directly on custom onboarding copy for different Causal templates, alongside more typical feature flag use-cases :). - Source: Hacker News / about 1 year ago
If you're particularly keen go onto some of the prep courses there are out there. wall street prep is one, there are other PE prep courses hawked on here for as little as 10 bucks. All are built around excel skills and learning DCFs. I recommend causal.app if you want to try to skip some of this and get forced into a tool. Source: about 1 year ago
Hi HN, I'm the founder of https://causal.app and the author of this post β Most of the finance content online is very textbook-y and overkill for early stage cos, so wanted this to be a 'no-nonsense' guide for founders/ops people that have to juggle a bit of finance stuff alongside everything else. We've helped lots of startups across different stages with finance stuff over the last few years through Causal, so... - Source: Hacker News / over 1 year ago
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