7 Comments
User's avatar
Devis's avatar

Excellent breakdown! As a Senior Developer, I can absolutely confirm that robust RAG architectures and automated pipeline scaling are at their absolute peak right now.

Due to a recent shift in my technical focus, I’m actually offloading full Intellectual Property (IP) ownership rights to my production-tested 4-in-1 FastAPI Backend Suite (featuring an AI Meeting Summarizer, Auto-Social Poster, Reputation Manager, and a programmatic SEO engine).

It completely bypasses 3+ months of engineering cycles and is ready to deploy as a premium white-label asset. Selling the entire bundle (modular codebase +domain) for a flat fee of $8,000 via secure Escrow.

If any agency owners or technical directors here want to save thousands in development overhead and upscale your B2B offers instantly, feel free to drop a reply or send me a direct message!

John Schwegler's avatar

Maybe take your ad garbage elsewhere?

Devis's avatar

this is dont ad and dont garbage elsewhere

gibson Jiang's avatar

$VERX

The only SaaS name still not bounce back

Danielle Morrill's avatar

Can you please post a bit of basically methodology like the ticker symbols you are tracking, selection criteria and how the index is weighted? Otherwise it is a bit hard to use this for anything credible. But I am curious to follow the iteration!

Euclid Ventures's avatar

Great data, thanks for sharing Ernie! There are way more than 35 public SaaS companies though — is there somewhere we can see which tickers are in your index?

Pawel Langer (Nominal News)'s avatar

Great analysis and data here!

It's interesting to see some of the contrast between the hard data (such as yours) and some of the more negative opinions on what genAI *might* do. I currently subscribe to the view (based on the Acemoglu/Restrepo ATM paper) that the current iteration of genAI is more likely to boost business and labor, rather than replace it.