Interesting idea ... ton of potential, both for the application and the technology. For now a good little time waster. One question, what kind of data is being used for the fingerprint generation? Because, it is sometimes inconsistent with what is expected (checkout Boston Dynamics) (or may be TIL that BD concentrates more on social network than robotics). Anyway, thumbs-up

thx a lot for the feedback! Data is mostly scraped from websites etc. then our algo processes it. We are about to improve our underlying model, updates coming soon!

Hey everyone! With our MVP, we try to use concept extraction and classification to automatically provide a ‘company fingerprint’. Feel free to give it a try, all feedback is welcome! Thanks

Pretty nice! The tagging is actually quite good. Is there any plans to provide an API? Would be awesome.

Hi Peter, thx for giving our hack a spin. I’m glad it worked for you :) Feedback encourages us to continue and maybe working on an API, stay tuned!

It’s cool, I’m getting pretty accurate tags for the companies I’ve searched. How does this work?

we start with some automated content acquisition, before we use nlp for keyword extraction and tagging. The company-tag description is then located in a huge tech-domain-specific vector space. From vector space similarities and a couple of heuristics, we derive the company classification.

Great idea, but unfortunately I did not get results for some companies I’ve searched.

Thanks for trying it out, sorry if we did not find the companies you’ve searched for. What companies did you search? I’d like to investigate, where the problem comes from...

Pretty neat! Love the company fingerprint btw!

not 100% accurate yet, but I like it. Any API-plans?