Bigfoot Social

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  BigFoot Social

Inspiration

We were inspired to build BigFoot Social to help democratize viral marketing and content creation for small brands, creators, and non-profits.

What it does

We are pitching an end-to-end AI-enabled content management and viral content creation platform

How we built it

We have exclusive training data generated from our own successes when we manually grew our TikTok accounts to over 2 million total followers

Challenges we ran into

Building out backend components and talking with the TikTok API has at times been a challenge. Frontend is also a challenge, as my experience lies more in the finance and backend space.

Accomplishments that we're proud of

We are happy to have built a fine-tuned LLM model based on Gemma2 9B and are pleased with the output.

What we learned

In order to build an internet product, it is probably best to have a frontend. Consumers generally won't want to hit the command line to create content!

What's next for Bigfoot Social

We plan on building out a frontend, getting beta users, and get our financial backtesting logic set up!

Built With

• charles-schwab-api
• chatgpt
• claude
• cuda
• gemma2
• javascript
• langchain
• llamaindex
• lora
• ninjatrader
• pgvector
• pieces
• postgresql
• python
• pytorch
• qlora