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Edgee Codex Compressor V2

Use Codex at 35.6% lower costs

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We benchmarked Codex alone against Codex routed through Edgee's compression gateway on the same repo, with the same model, under the same workflow. The result: Codex + Edgee used 49.5% fewer input tokens, improved cache hit rate from 76.1% to 85.4%, and reduced total session cost by 35.6%. This post breaks down why context compression makes Codex more efficient, more frugal, and materially cheaper to run without sacrificing useful output.

PH · launched Sep 18, 2026 · 90 upvotes (top 2%) · 0 views

Niche: llm optimization tools · 127 launches, 10 in the last 7 days ▲ +100% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Software Engineering
  • Developer Tools
  • OpenAI Day

Visit website ↗ Source listing ↗

Could you build this?

No Building an ultra-low-latency reverse proxy that performs AST-aware code compression, semantic input trimming, and intelligent prompt cache alignment without degrading LLM code generation quality requires deep systems engineering and language runtime expertise.

What it would actually take: The architecture requires a high-performance proxy gateway (written in Rust or Go) capable of streaming SSE tokens at sub-millisecond latencies while acting as an OpenAI-compatible endpoint. The engine must perform semantic AST parsing (via Tree-sitter) across dozens of programming languages to strip comments, minify code context, deduplicate repository snippets, and structure prompts to strictly maximize KV-cache prefix hits on upstream LLMs. Engineering this without losing context or introducing subtle code hallucinations requires deep compiler engineering and prompt optimization expertise.

Competitors

Other products that read as similar to this one : 160 launches clear the similarity bar, closest 8 shown.

Attention rank: #4 of 161 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

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