My new tweet generation workflow automation

All the tools buffer, tweethunter, hyperfury charge money to generate tweets.

I had an itch to try running local llms and play with it.

I had also been re-reading Content OS by Justin Welsh. He talks about generating content with various perspective about the same content. So I thought, I can automate a bunch of it by using prompt templates, inspiration tweet examples and mistral 7B.

Packages & Tooling:

Code is at https://github.com/nehiljain/tweet-automation

Quick Introspection:

Ship30for30

But once you start writing, and building your library, you start to build momentum.

  • You write...
  • Which creates data points...
  • Which reveals patterns (what works/what doesn’t)...
  • Which shows you where there are opportunities to double-down...
  • Which makes it easy to write the next thing...
  • And the next thing...

And so on...

This is the game of Digital Writing.