It’s been a journey but getting close to launching our first version to pilot customers in August. We use an enormous amounts of AI tokens every month to extract data not possible with any traditional player in this media monitoring space. Benchmarking competitors, tracking impactful discussions, and receiving actionable brand insights.

If you are currently using one of the big media monitoring companies, I’d love to chat!

https://www.gossipinsights.com/en/top-companies/us/

But in general we found the best course of action is simply label everything. Because our customers will want those answers and rag won’t really work at the scale of “all podcasts the last 6 months. What is the trend of sentiment Hillary Clinton and what about the top topics and entities mentioned nearby”. So we take a more “brute force” approach :-)

There is also more generally Mention, Brand24, Meltwater, etc, in the media monitoring space. But all are generally weak in the audio media space.

When we stop looking at audio media like a newspaper article, things get more interesting.

https://listenalert.com

I used to work for a media monitoring company but was instantly struck by how old fashion everything was. And the total reliance on boolean searches meant only experts could find relevant information. This still appears to be the case for most players in the industry.

So I'm building a platform that finds what is important before you look for it. Novel entity linking, and sentiment analysis plus speaker tracking. It has come a long way from the proof of concept. Focused on audio media at the moment as it is the hardest to index compared to news articles in my opinion. And the hypothesis is audio media such as podcasts can contain so many juicy insights.

Next steps are converting pilot customers to paying customers, testing more markets (based in a tiny market now), raise a small pre-seed (bootstrapped at the moment), and quickly evolve the product based on feedback.

I can definitely argue that mirrorless is always better for most users! Thinner bodies, modern lens selection (so faster autofocus and wider aperture, etc), real-time image previews, better low-light preview (in both rear and viewfinder screens), video recording capabilities better match professional video cameras (by removing mirror complexity) which better matches the hybrid needs of the modern camera buyer.

Having gone through several GDPR implementation process in Europe, it’s what the citizens of USA need, but not what American companies or government agencies want. So from my perspective, American citizens will never fully be protected. Sadly.