Our journey began from a simple observation during our time in investment banking at Morgan Stanley, where we experienced firsthand the inefficiencies plaguing professional networking and contact management. The traditional exchange of business cards, followed by the manual entry and maintenance of these contacts, was time-consuming and error-prone. As such, KADO was born to be more than an interactive digital business card, to include: 🖌 Fully branded virtual business cards: Adapt the card colors to reflect your company's branding (background, text, icons). Add personalized links, social networks and video content! All content is editable at company and individual level 💸 Lead capture: Capture leads via the contact form within your digital business card, or with our AI card scanner! Take a picture of a paper card and automatically transform it into a digital contact! 📝 Notes and task management: Keep track of your contacts by easily recording notes and follow up tasks on the go, without leaving the app. 🔌 CRM integration: Immediately sync all new contacts to your Outlook, GSuite accounts or your CRM. Directly or through Zapier, KADO is integrated with 1,000+ CRMs 📧 Relationship tracking: sync your Outlook email and calendar to review all conversations and meetings. 📱 LinkedIn profiling: KADO downloads your contacts’ LinkedIn profiles, allowing you to review their past experience and education. You may find out you both worked at the same organization or studied similar degrees! 🛡 Admin control: Have a broad control of your employees and their usage. From analytics, to privacy management, to team and office creation, to integration control. KADO is fully ready for large and scaling organizations.
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Based on our record, Parse.ly Analytics seems to be more popular. It has been mentiond 3 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.
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
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