ATsimbalistov · HN

Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

Aperswal · HN

Made a Free LLM Router

@QAInsights · X

u/ASDKING100 · Reddit

Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

taylorgt · HN

Find every AI model your code calls and warn before it's retired

@asgujjuasitgets · X

u/ornymo_official · Reddit

how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

justin2025 · Product Hunt

Auriko Trading desk for LLM calls

apoorvumang · HN

TokenPath – token-level citations for LLM output, read from attention

@mageofweb3 · X

TaylorM492 · HN

InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim