Hey, PH folks!

I'm currently researching the Nostr ecosystem (a decentralised social protocol) for an article and I was wondering:

1. Have any of you launched a Nostr-based project on Product Hunt?

2. What does traction usually look like in this space?

3. Besides Primal's $1m funding round, are there any other examples of successful fundraising in this ecosystem?

It feels like a fast-moving, developer-driven space, but it s still hard to tell where the real opportunities lie.

After hours of reading best practices, crafting the perfect assets and assembling what felt like a bulletproof plan, we were ready to launch on Product Hunt. We worked so hard and genuinely believed we d wake up to thousands of sign ups and the Product of the Day badge.

The reality was very different. We saw a tiny boost in sign ups, got stuck at around 200 upvotes, and to top it off, finished below a food blender.

While preparing for our launch and browsing the upcoming launches, I asked myself what the best move would be for choosing a day:

1. Pick a day when you have less competition (e.g., fewer products and/or fewer similar products).

2. Pick the day where the most products are launched. More products = more teams pushing = more people likely to discover your product.

One week ago, I noticed in one Facebook group (nich : Graphic design) this discussion post:
TL;DR: Due to AI advancement, he receives 70% less work as a graphic designer  freelancer.

[The text was translated from the Czech language to English.]

Hey! I'm on PH to prep for a new launch, and I'm looking for advice on best practices to becoming a valuable member! I'll be launching Siftree, an AI-powered social insights platform that analyzes topics across social media, similar to how financial platforms track stocks. Spot trends, find critical conversations (like leads), conduct market research, etc. - all alongside an AI analyst copilot.

Looking to connect with other founders and learn from experienced hunters!

I've seen ChatGPT and other LLMs recommend tools, products, and websites based on user queries.

As a solo maker, I'm curious,

how do these models decide what to recommend?