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Beta user signup

Beta user account signup [your-name] From: [your-name] Subject: Inquiry Message Body: [your-message] — This e-mail was sent from [your-subject] [your-name] Message Body: [your-message] — This e-mail was sent from a contact form on Femonoe ( [your-email] Your message was sent successfully. Thanks. Failed to send your message. Please try later or contact the […]

Femonoe beta user signup

Femonoe is currently in private beta testing. We will allow users to create new accounts on a rolling basis, please fill in the form below with your name and email and we will get back to you ASAP! Femonoe sorts out social media big data to give you information that really matters. Femonoe eases the social media content curation process by […]

About Femonoe

In Greek mythology, Phemonoe was a Greek poet of the ante-Homeric period. She was said to have been the first priestess of the oracle at Delphi. In some studies, attributed to the phrase \”know thyself\” (γνῶθι σεαυτόν) found inscribed at the entrance to the Temple of Apollo at Delphi. Like in the old days in […]

Why you will love Femonoe

Femonoe uses a unique crawler to retrieve and store social media content from the supported networks, uses proprietary algorithms to index the results, sort results based on search terms relevancy, exclude unwanted results and reveal the mood of discussions. And all that while operating using the lowest server resources possible, performing extremely complex queries very […]

Social media big data at your service

Using Femonoe you can create thematic searches in supported social and news networks (Facebook, Twitter, YouTube, Google news, Bing News and Reddit are currently supported) around a topic. Femonoe offers a unique service that allows you to know what is discussed in social media around a topic, identify trends, take part in the discussion and […]

Find out what is currently discussed

Femonoe provides constantly updated material around a subject and identifies current trends in social media. A thematic search is formed using keywords, both positive and negative, and retrieves results that can be sorted based on keyword relevance, popularity and retrieval date. The output can be easily embedded on any website.