Decomp.ai — Agent Cost Optimisation

What it does

Every AI app has the same silent problem: you're paying 3–5× more than you need to for LLM calls. Decomp.ai audits your pipeline in 60 seconds — finds which calls can be replaced (sentiment checks, formatting, repeated queries) and gives you before/after code diffs plus one-click prompts to paste into Cursor or Claude Code. Free scan. Pay 5% of your estimated monthly saving to unlock fixes (S$4.99–S$9.99 max). Zero if we find nothing. 🎉 Use DECOMPLAUNCH — free during launch week.

Decompose automation goals into optimised multi-agent blueprints. Identify where LLMs aren

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  AgentReadyFeb 2026 · agentready.cloud · ▲118

  Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.

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  Frugon – Find which LLM calls a cheaper model could handle (local, MIT)Jul 2026 · github.com · ▲67

  I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and…

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  Reduce ChatGPT costs 10x with distributed cache for LLMs2024 · edgematic.dev · ▲22

  Hello HN! We're building a caching solution for LLMs (ChatGPT, Claude). By combining cutting-edge approaches, such as edge computing, prompt compression, vectorization, and others - it can reduce your AI bills by up to 10x and significantly lower response times. Key Features: - cost efficiency: our system stores frequent queries, reducing the number of upstream (paid) API calls - fast responses: with various nodes globally, we reduce latency by serving data from the nearest location - scalability: designed to handle increasing loads and data sizes without degrading performance. The cache…

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  PromptlyMar 2026 · getpromptly.in · ▲13

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  I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req&#x2F;day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7&#x2F;10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…

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  Performative-UI – A react component library of design tropes▲1,181

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