not really. Twitter threadbois don't get that much brand deal volume but have to keep outputting. For eg we have spent 0 on marketing for AutoCodePro but still lots of influencers covered it.
@waitin4agi_
-
Product Hunt and Hacker News: Unreliable Signals for Mainstream Success
By
–
The problem is that now I am dependent on producthunt and hackernews for what to build, both terrible signals of what has a chance to go mainstream.
-
Mark Zuckerberg’s Public Image Transformation Analyzed
By
–
Mark Zuckerberg shifted from heel to face lol.
-
Fine-tuning SD and LLaMA: compute, data, use cases matter most
By
–
It’s trivial to build a fine tune on top of SD/LLaMA these days. Access to compute, access to data, and a kick ass use case are the hardest parts.
-
Growth Strategy: Building Critical Mass Before Account Conversion
By
–
Go with the flow for a while, then convert to a high signal account after some critical mass
-
Gaming YouTube Algorithm: Technical Strategies for Content Access
By
–
I wonder why more technically smart people don't game the YT algo…it won't make money but is SO useful for access.
-
Product-market fit requires luck and persistent experimentation
By
–
We've de-risked the two main parts of building a business: 1. Building the thing 2. Getting initial users. The hardest part, however, is finding PMF. I think PMF is a LOT about luck even though nobody will admit it. But you take lots of shots and see what happens.
-
Personal Distribution: The Springboard for Product Launch Success
By
–
Reliably figured out the "build product->go semi-viral on twitter->get on the newsletters->get on media" pipeline. btw this is why I'm so bullish on distribution. Personal distribution is a giant springboard on top of which you can launch new things.
-
LLama Adapter Development Benchmarked Against ChatGPT
By
–
yes, but we're working on an adapter on top of LLama too. Something we hope will be decently benched vs chatgpt.
-
Llama and QLoRA: The Cost-Effective Path to LLM Competition
By
–
Also don't forget llama exists and weights are available all over the internet. It's illogical to build an LLM from scratch if your goal is build a Chatgpt competitor. Qlora exists to reduce compute costs. Cost argument is weak unless there's some need to reinvent the universe.