Aryan Jambholkar

@SLoptimise Not yet. But soon I will have. Let's do a small Collab. You bring clients to me, I will give a detailed report and analysis of tokens use in specific area's using my tool LLMeter . And you will optimise there work using my report. And will really help your client. What you think?

@Aryan_CEO_2007 You have any clients?

Solution: LLMeter → reliability scoring layer CTA: Looking for 5 founders to test this early

"Why 90% of AI startups will fail (not because of tech)" 1. Everyone is using same APIs 2. Differentiation is UX + reliability 3. No one measures reliability Problem: LLMs hallucinate silently Current tools? – Logging ≠ reliability – Observability ≠ trust

If you're running any AI features in production, you have a leak you don't know about yet. LLMeter shows you exactly where. →[aryanjambholkar27-ceo.github.io/LLMeter-Landin…] (or DM me — I'll audit your logs manually for free)

I built LLMeter because I was tired of guessing. You shouldn't need a spreadsheet to know where your money goes. You should see it — by feature, by model, by environment — in real time.

I audited my AI API bill last month. $500 gone. I had no idea where. Here's the full breakdown — and what I found that made me feel sick. 🧵

@SLoptimise Hey, landing page is live now! Would love your honest feedback — aryanjambholkar27-ceo.github.io/LLMeter-Landin… . Once SDK is ready you'll be first to know. 🔥

@Aryan_CEO_2007 Hello, been a bit busy though client work is going good, booked a call today, potential client. Can you tell me more about what you provide?

LLMeter landing page is live. 🚀 If you're building AI products and tired of guessing which feature is eating your API budget — this is for you. Early access is free. Link in replies 👇

@SLoptimise By the way, hitting word limits on X 😅 — let's connect on LinkedIn, easier to have a proper conversation there. Search Aryan Jambholkar, I'll be easy to find.

Developers building with LLMs — does your dashboard show which feature costs the most? Mine never did. Building LLMeter to fix this. @langchain @vercel @replit — your users need this.

Most AI startups have no idea which feature is burning their API budget. Not because they don't care. Because the visibility doesn't exist. Total spend is easy to see. Feature-level breakdown is invisible. That's exactly what LLMeter tracks. Shipping soon. DM me if you want in.

Every AI product has a cost problem nobody talks about. Not the total bill. That's visible. The invisible part — which feature is responsible. Chat? Search? Summarization? Nobody knows. Building LLMeter to show exactly that. One line of code. Shipping soon. DM me if you want in.