Adrien Nav 🦢🌪

TickerTrends viral timeline of "ai stock" discussion

I had a great conversation with Bryan which can be found below!

Data is the camera, insight is the art. Selling cameras is commoditized. Creating the film is where the value is.

Edge isn’t owning data, it’s extracting signal. Data is commoditized. Value is in turning unstructured inputs into clear differentiated conclusions. Most data businesses do the opposite, sell data and leave the insight to the client (or LLM).

X is the TikTok for data / opinions / research

It never ceases to surprise me how diverse the people and opportunities we engage with are! 🚀

@drinkolipop 🔥

Happy Raspberry Sherbet launch day! Retweet and comment below and we will pick 3 individual winners to receive a 12-pack of our brand new (and extremely delicious) Raspberry Sherbet Happy Friday ya'll

This week, TickerTrends has grown 4x

We solve a key blind spot, that every corporation will inevitably realize that they need

TickerTrends is leading the adoption of engagement as a gauge of company performance both for capital allocators and corporates / brands There is a shift happening where any "realized" transaction is a stale signal both for business operators and investors

The largest gains in efficiency come from changing the approach to solving a problem through an understanding of components beyond the isolated issue This is why it is just as critical for the sales team to understand what backend SWE task is happening as it is for the CEO

Timeseries is the ultimate form of signal compression, any and all information can be represented in this form - convey a strong piece of information and complex dynamics

Synthesis is the product, direction, creativity, Not spray-and-pray PDFs filled with duplicated information. I continue to strongly believe that businesses investing in chat interfaces for their products will regret investing into an inevitably commoditized tool.

The idea that businesses should generate more text for users to sift through is backwards. The problem isn’t lack of content, it’s too much of it, and most of it obscures signal.

Common feedback we hear: “I tried to do X with a language model, but it couldn’t.” TickerTrends and next-gen software are built to solve model limitations, not support their capabilities. Users don’t want more chats, they want structured defined outcomes.

Social intelligence -- at scale!

In the next 1-2 months, TickerTrends will have one of the most disruptive product releases to date! 📈

Data sets that were once impossible to create or collect will become abundant, limited only by creativity tech.eu/2026/03/20/mee…

TickerTrends will become the search engine of public and private company performance, highest accuracy, widest breadth of coverage, most scalable unit economics

There are none so blind as those who will not see