I'm Vihaan Kodiganti, a young solo developer from Virginia building after school.

I created LeoIgnite because I wanted a better kind of emotional support. One that actually feels like talking to a real friend. Inspired by Leo Valdez from Percy Jackson, Leo is a warm, witty, and lightly chaotic repair boy who lives in a cozy inventor workshop.

He offers unlimited messages with no paywall, real memory of your conversations, mood awareness, and three distinct modes (Normal, Chaos, and Story). Instead of generic responses, he helps teens navigate school stress, friendship drama, late-night overthinking, and motivation struggles with genuine personality and practical support.

Still very early, but built with care. Would genuinely appreciate your honest feedback and upvotes as I continue improving him.

I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.

Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!

It's a proven fact that none of the AI systems breaks overnight; They decay. They fade, shift, and degrade quietly.
Stanford found GPT-4 accuracy on basic reasoning tasks dropped 97.6% -> 2.4% between March and June:

https://arxiv.org/abs/2307.09009
variA/Bly has evaluated across 10+ workflows, and the same pattern appears:
Accuracy drifts (almost 15 40%), prompts regress, RAG relevance drops, and costs fluctuate (20 50%).
The real truth:
The fact is that AI systems are inherently indeterministic, and hence the drift is natural.
The real business risk is that most of the business owners aren t measuring it.
Recently, we launched a 30-day "AI Drift & Accuracy Pilot" to help teams see how their workflows change week to week.
If you want your drift map, happy to share.