Hi All; Thanks for checking out HeadlinesAI! We haven't quite launched yet, we opened the registration floodgates briefly for an advertising test and got hunted - But thanks for noticing, Chris :) We're still improving the NLP - our early customers tell us that the product works really well for long text/articles in a few topic verticals, but as a few of you found there are still some challenges to solve for short queries and niche topics. Stay tuned in the next couple of months for some updates and a public launch!
We are building this product to replace a huge portion of article headline and content marketing A/B testing. I was previously a data scientist in the viral media industry (sorry for all the cat videos...) and friends have been asking me for the past 3 years, 'what headline should I use for my blog post?'. With HeadlinesAI, we hope to answer that question for everybody.
In the meantime before we launch, if you'd like a registration invite reach out to contact@headlines.ai and we'll give you a demo right now and a free trial when we launch :)
@flowsion thanks for trying the product Flowsion! We'll have some dramatic improvements coming online in the next month before we launch, ping us if you'd like another demo :)
@patrick_martinchek Would love to! Let me know when it's up. flowsion@me.com. Reading through the comments, it looks like this is an alpha build. So, I will leave my feedback for when it's live! I'll update this as you send me the new demo later.
I work for a super niche industry so that could be why there was problems with accuracy. More than happy to work with your team to get more niche industries down right on HAI.
Needs better content similarity matching, as it is essentially the core of what your product does. I was hoping it can generate the 'best' headline automatically but this doesn't seem to be the case here.
@bluemonk482 Definitely, thanks for the feedback Bo. We originally wanted to build a product that would always deliver the single 'correct' and 'best' headline for a given query (perhaps even using NLG), but we found that even the best NLP wasn't good enough to get it right 100% of the time. So instead, we offer users the top similar and highest-performant headlines as suggested by the ML model, and then allow users to complete the last 5% of the process and filter out any egregious mistakes. It's also helpful to deliver a few options so users can select the headline inspiration that would resonate best with their audience. Thanks for the feedback!
@patrick_martinchek You're quite right, it is still a big challenge to summarise large text corpus and generate a headline. Your approach makes more sense since your goal is to help with content marketing rather than generating the most accurate summary/headline. Best of Luck! :)
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