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AgentReady

Drop-in proxy that cuts LLM token costs 40-60%

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HN · launched Feb 23, 2026 · 8 upvotes (top 56%) · 0 views

Niche: ai api gateways and proxies · 336 launches, 7 in the last 7 days ▼ -46% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial While the proxy server and API wrapper are straightforward, creating a reliable prompt-compression engine that shaves 40-60% tokens in ~5ms without breaking semantic reasoning or downstream LLM accuracy is difficult.

What it would actually take: The service requires a low-latency API proxy (Go/Rust or fast Node.js/Python) handling inbound text requests. The hard part is the algorithmic or rule-based token pruning pipeline (selective token dropping, syntax-tree pruning, or vocabulary compression) that consistently preserves instruction fidelity across arbitrary prompts in under 5 milliseconds. Achieving this requires NLP/linguistic engineering and extensive automated benchmark validation against standard LLM eval suites.

Discussion

13 comments analyzed.

Competitors mentioned: OpenAI, Claude, LangChain, LlamaIndex, CrewAI

Concerns raised: Security risk of proxying LLM calls and API keys through third party, Hesitancy to grant MITM access to usage and credentials, Undeployed endpoints return 404 errors, Compression may affect prompt effectiveness and tuned results, Hallucinated documentation and example code

Feature requests: Self-hosted or local deployment option, Compress non-sensitive prompt parts only without proxying keys

Competitors

Other products that read as similar to this one : 663 launches clear the similarity bar, closest 8 shown.

Attention rank: #333 of 664 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 115 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.