MemePulse

Inspiration

The market for cryptoassets in general and memecoins in particular is growing at an ever larger pace, and yet investors are often averse to engage in it due to volatility and lack of clarity about the market sentiment and the drivers of growth. Our own interest in social media trends' influence on the investing culture has led us to investigate this further.

What it does

On a basic level, it gathers basic financial information about the currently trading memecoins. More fundamentally, it utilizes an algorithm analysing social media sentiment in order to enable investors to differentiate trading spikes driven purely by limited speculation as opposed to a widely visible social trend - all this within the obviously tighter timeframes for this market of a few days as a maximum for most memecoins. The tool scraps data across social media to assess information diffusion and arrives at an approximation to genuine popularity of a particular instrument.

How we built it

We took advantage of a few AI development assistant tools, most notably Google AI Studio for frontend and ChatGPT to navigate the backend. We also had to think about data and API access a lot.

Challenges we ran into

Our initial plan to analyse X and/or Reddit posts didn't come to fruition due to the exorbitantly large prices for the API offering with the former and technical support defciencies of the latter. As a preliminary testing ground for an MVP, we settled for Youtube Data API to analyse the short content on the platform.

Accomplishments that we're proud of

Our algorithm for analysing social media posts had to be continuously iterated and improved, and, although still a provisional tool, it is something we are proud of in terms of architectural integration.