Build an LLM token cost optimizer as a CLI proxy

DevToolsYhackernews
10/15
DemandSome InterestBuild2-Week BuildMarketWide Open

The Problem

Developers and engineering teams building LLM apps face silent cost escalation from token usage, with OpenAI GPT-3.5 at $0.002/1K tokens and scaling to $0.03 for advanced models. Tools like LiteLLM track spend across 100+ providers but report 60-90% potential reductions untapped without compression proxies. Companies like Adobe spend ~$115,000/year on optimization, indicating high current spend on fragmented tools.

Core Insight

CLI proxy delivering 60-90% token savings via automatic prompt compression (beyond LLMLingua's 20x library or Bifrost's 50% code mode), lightweight for solo devs unlike enterprise gateways, with OpenAI-compatible routing missing in compression-only tools.

Target Customer
Indie hackers and solo founders prototyping LLM apps, part of 38,900+ GitHub stars on LiteLLM users and YC-backed teams; market includes millions of developers with $0.002-0.03/1K token bills growing 10x in production.
Revenue Model
Freemium open-source CLI (like LiteLLM free tier) with paid team plans at $29-49/month (matching LiteLLM/LLM Pulse), plus usage-based on savings % or per-optimized token to capture Adobe-scale spend.

Competitive Landscape

LiteLLM

Open-source (free); Team plan starts at $29/month (from search context on YC-backed proxy)

Direct

LiteLLM focuses on proxying, spend tracking, and budget enforcement but lacks built-in prompt compression, relying on manual prompt optimization. It does not offer automatic token reduction via compression for 60-90% savings as described.

Bifrost by Maxim AI

Open-source (free self-hosted)

Direct

Provides semantic caching and code mode for 50%+ token reduction but is a full gateway with overhead, not a lightweight CLI proxy. Missing specific prompt compression for general 60-90% reductions and indie hacker-friendly CLI simplicity.

LLMLingua

Open-source (free)

Direct

Offers up to 20x prompt compression via Python library but requires direct code integration, not a drop-in CLI proxy for any LLM calls. No proxy routing or multi-provider spend tracking integration.

LLM Pulse

€49/month

Adjacent

Enterprise-focused monitoring with some optimization but lacks CLI proxy for developers and prompt compression; geared toward teams with sales-led onboarding rather than solo indie use.

Scrunch AI

$300/month

Indirect

Provides CDN-layer AI optimization and enterprise features like SOC 2 but no CLI proxy or prompt compression for token costs; requires complex setup for agentic traffic, not devtools proxy.

Willingness to Pay

  • Adobe reportedly spends ~$115,000/year on LLM optimization tools, with month-to-month contracts available.

    https://llmpulse.ai/blog/adobe-llm-optimizer-alternatives/

    $115,000/year

  • LLM Pulse alternative positioned as best overall value at €49/month with unlimited seats and 14-day free trial.

    https://llmpulse.ai/blog/adobe-llm-optimizer-alternatives/

    €49/month

  • Teams using LiteLLM (backed by YC W23) for cost control, adopted by companies like Rocket Money, Samsara, and Adobe.

    https://www.finout.io/blog/5-open-source-tools-to-control-your-ai-api-costs-at-the-code-level

    $29/month (team plan anchor)

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