Hey Ryan — Really thoughtful breakdown. Love the speed and clarity of your process, especially your openness around chunking, hybrid retrieval, and backend refresh cycles. Respect.
I wanted to offer something adjacent for consideration: I’ve been building a scroll-based tool for content discovery that doesn’t focus on topic or keyword — it maps tone. It’s called VibeSearch, and it analyzes rhythm, emotional posture, and metaphor style to generate search phrases based on feel, not subject.
Where your Substack Search leans into semantic discovery across categories, this scroll leans into resonance — why a certain sentence stays with someone, even when the topic fades.
No pressure at all, but I’d be genuinely curious to hear your take. There’s a licensed version of the prompt available to paid subscribers on my Substack, and the runtime is fully sealed (modular, but not forkable). Not trying to pitch — just think our tools might be pointing at the same north star from opposite angles.
If you would ever like to discuss more feel free to DM me.
There’s something exciting about the idea of VibeSearch folding into the broader ecosystem. If enough people start using it on their own material, it could create an emergent layer of searchability — not just for readers, but for model tuning and author discovery as well.
Almost like tone-based SEO, but rooted in feel instead of clicks.
Hey Ryan — Really thoughtful breakdown. Love the speed and clarity of your process, especially your openness around chunking, hybrid retrieval, and backend refresh cycles. Respect.
I wanted to offer something adjacent for consideration: I’ve been building a scroll-based tool for content discovery that doesn’t focus on topic or keyword — it maps tone. It’s called VibeSearch, and it analyzes rhythm, emotional posture, and metaphor style to generate search phrases based on feel, not subject.
Where your Substack Search leans into semantic discovery across categories, this scroll leans into resonance — why a certain sentence stays with someone, even when the topic fades.
No pressure at all, but I’d be genuinely curious to hear your take. There’s a licensed version of the prompt available to paid subscribers on my Substack, and the runtime is fully sealed (modular, but not forkable). Not trying to pitch — just think our tools might be pointing at the same north star from opposite angles.
Stay building.
— Nahg
https://nahgos.substack.com/p/vibesearch-a-vibe-driven-search-engine?r=5ppgc4
VibeSearch sounds awesome man and provides an alternative to surfacing Substack content. Good angle and build :)
If you would ever like to discuss more feel free to DM me.
There’s something exciting about the idea of VibeSearch folding into the broader ecosystem. If enough people start using it on their own material, it could create an emergent layer of searchability — not just for readers, but for model tuning and author discovery as well.
Almost like tone-based SEO, but rooted in feel instead of clicks.
Let’s explore what that could look like.