Hey HN, I'm launching LoopGenius, a tool for fast-tracking email list building and converting them into sales. It's takes in a business description and a core offering to build out facebook/instagram video ads that are fully managed. Built from real startup struggles. Keen to hear what you think!
Just wanted to give you an idea as how the Kylie.ai bubble works.
It uses a generalized data mining system to grab questions and answers from multiple levels of your knowledge center (meaning it can grab from a single page of FAQs or hundreds of pages of help articles) and uses that information to answer incoming customers' questions in real time using a natural language engine! It is natively integrated with our Kylie cloning technology and is in essence, cloning your knowledge center!
If you have any questions, please feel free to ask :)
How is this different than other marketing automation software? I like the idea of personalizing based on weather (clever) but how personal can you get? Are you analyzing tweets and language to understand their behavior and tone?
Wow thanks for the tips Nadya! We will add these in before the next update. You may want to add your real address though, as we'll email you when we make Twitter2Email better and/or faster. OR you can just bookmark it and check back everyday ;)
I'm posting this tool that my friend (@sinanuozdemir) and I hacked together yesterday! It's a tool to find someone's email based on their twitter handle. We made this tool to help you find someone to contact when all you really know is their twitter handle. I've had times on twitter when I'm in a DM with someone and I'd really like to email them, so I would spend 15 minutes trying to find their email online. Hence why Sinan and I built this tool to save time scouring the internet for an email. It's not perfect so any feedback is much appreciated.
The reason why it asks for an email to start is so we can know uses the tool. It's nice to know people rather than decipher the black hole that is google analytics.
The tool works by first checking if the user had tweeted their email in some form, thats the easiest way to find their email. If they didn't then it will check to see if they posted it on their personal website. Still couldn't find it? It will then check where they work and check their work address. The confidence in the email is based on where the email was found.
I tried out your demo and while the design is very stunning, I am a little confused about what I'm supposed to do. Is this meant for big company workforces (500+ employees), restaurants, any company? Would love some more insight as to who this is for.
at the moment we dont. We're not sure the best way to verify information with user input at the moment. What do you think is the best way to ensure accurate information is being given. Public sources are typically hard to verify outdated information even when pinging a server (catch all and all). If you want us to update your information specifically, send me an email to [email protected] and I'll see what I can do for you ^_^
Jamasen here co-founder of Legion Analytics. The system works best with B2B, however we have seen success with b2c when the consumer has an online presence. Our goal is to be every company's sales tool. Trying to figure out how to do that. Suggestions?