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Lossless Token Optimizer for AI Dev Tools
A proxy API or IDE plugin that reduces Claude/OpenAI token usage by 60-80% using AST-aware context stripping, without degrading output quality. It targets power users spending hundreds of dollars monthly on API costs.
Why this matters
A proxy API or IDE plugin that reduces Claude/OpenAI token usage by 60-80% using AST-aware context stripping, without degrading output quality. It targets power users spending hundreds of dollars monthly on API costs.
- · Built for Senior software engineers and indie hackers using API-based AI coding assistants (Cursor, Claude CLI) who spend >$100/mo on tokens..
- · Most likely monetization: SaaS subscription (e.g., $30/mo for unlimited optimization) or a percentage of API savings..
Score Breakdown
Market Signal
Differentiation
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Lossless Token Optimizer for AI Dev Tools
Sub-headline
A proxy API or IDE plugin that reduces Claude/OpenAI token usage by 60-80% using AST-aware context stripping, without degrading output quality. It targets power users spending hundreds of dollars monthly on API costs.
Who It's For
For Senior software engineers and indie hackers using API-based AI coding assistants (Cursor, Claude CLI) who spend >$100/mo on tokens.
Feature List
✓ AST-based context pruning (only sends relevant functions/classes) ✓ Local semantic caching ✓ Cost dashboard showing exact dollars saved per session
Where to Validate
Share your landing page in r/r/codex — that's exactly where these pain points were discovered.
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Community Voices
Real quotes from Reddit comments that inspired this opportunity
- “Chewing tokens, that's what claude is much better than codex”
- “Was spending $450/month on the API and cut that by 60%”
- “There’s several of these token saver projects and they mostly have significantly worse output.”
Other opportunities in the same theme
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