haseebejaz · HN

TokenSpend, the AI ROI Solution

apoorvumang · HN

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

@HelloCalcaas · X

u/Greywolff06 · Reddit

I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com

u/HourRevolutionary666 · Reddit

Solo founder, first SaaS. Honestly not sure how to get from “it works” to “people use it” Okay so here’s where I actually am right now, not the polished version. Spent months building this on my own. It’s an AI/SaaS tool called Token Optimiser that trims unnecessary tokens out of prompts before they hit the model, so you pay less per call without losing what the prompt actually needs. It’s live at https://www.tokenoptimiser.com , I ran it through a proper benchmark to make sure the numbers

@J0nasDav1d · X

Celebrate burning tokens

ATsimbalistov · HN

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

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]

TaylorM492 · HN

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

@mageofweb3 · X

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP

@AIModelRanking · X