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AI · February 10, 2026

AI Costboard

Hi HN, I just launched AI Cost Board, a small project I built to make multi-provider AI usage easier to operate in production. It gives you a unified dashboard for: total spend token usage request volume latency and error rates What it enables: one proxy layer for multiple providers request logs for debugging and visibility budgets + alerts for cost control workspace/project structure for teams pricing + subscription flow for Free/Pro plans The goal is simple: make AI costs and performance observable in real time, without stitching together multiple tools. I’d really appreciate…

AI Costboard launched on February 10, 2026 with 3 votes, #3,487 of 16,628 launches that month and more than 50% of that year's launches.

What it does

AI Costboard is a drop-in AI gateway + dashboard: connect with one code change (base URL + API key), send all your LLM requests through our proxy, and we automatically process usage, tokens, latency, errors, and cost across OpenAI, Anthropic, Gemini, Grok, Llama, Mistral, DeepSeek, and Qwen, then show everything in one real-time workspace with budgets and alerts.

Monitor AI API costs, tokens, usage, latency, errors, and request logs across providers in one observability and cost control platform.

Track tokens, costs, latency, errors, and usage across major providers. Get a complete overview of your LLM usage in real time. Spot cost spikes, performance issues, and anomalies instantly. Make better decisions with clear, reliable data. import OpenAI from 'openai' ; const openai = new OpenAI ( { apiKey : process . env . AICOSTBOARD_API_KEY , baseURL : 'https://api.aicostboard.com/api/openai' , } ); async function streamResponse () { const stream = await openai . chat . completions . create ( { model : 'gpt-4' , messages : [ { role : 'user' , content : 'Write a short story' } ], stream : true , } ); for await ( const chunk of stream ) { const content = chunk . choices [ 0 ]?. delta ?.…from aicostboard.com

In the maker’s words, at launch

Hi HN, I just launched AI Cost Board, a small project I built to make multi-provider AI usage easier to operate in production. It gives you a unified dashboard for: total spend token usage request volume latency and error rates What it enables: one proxy layer for multiple providers request logs for debugging and…

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