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Fewr

Save up to 53% less Claude Code and Codex usage

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Fewr makes Claude Code and Codex hand the legwork to cheaper models while your model keeps the hard calls. Up to 53% less usage on the same model, measured as real cost, not tokens. Runs locally through native hooks. Free and open source.

PH · launched Oct 25, 2026 · 2 upvotes (top 22%) · 0 views

Niche: llm optimization tools · 119 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI feature
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • Tech

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Could you build this?

Partial Hooks, routing logic, and a local CLI can be built with AI help. Delegating work to cheaper models without degrading the result, and measuring real cost savings reliably, needs evaluation infrastructure and careful understanding of agent internals.

What it would actually take: Build a local hook or proxy layer for Claude Code and Codex that classifies subtasks and routes them to cheaper models. The hard part is quality-preserving delegation, which needs a benchmark harness and cost accounting from real traces. That takes engineers who understand agent loops and model evaluation.

Competitors

Other products that read as similar to this one : 480 launches clear the similarity bar, closest 8 shown.

Attention rank: #132 of 481 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 353 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.