SaaS that cuts AI token burn by 50% using selective prompt caching
Real-time dashboard shows which prompts waste your API budget, then caches identical calls — saving teams $1k+/month on AI tokens.
The signal
“I've been thinking a lot about where AI development is heading, and I keep coming back to the same conclusion: The race isn't just for better models anymore. It's for infrastructure. Over the last 40 days I've burned through 17.8 billion tokens building software. I started heavil”r/nocode — read the original
Why it scores 75
Rapid AI token consumption represents a real, recurring financial pain point for developers building AI applications where costs can spiral unexpectedly.
Several cost monitoring and optimization tools exist, but few specifically focus on proactive token burn prediction and budget enforcement.
MVP can be built in weeks using existing APIs for token counting, billing alerts, and simple dashboard interfaces.
Perfect moment as AI development explodes, token costs become major line items, and teams seek infrastructure to control runaway expenses.
MVP build path
The full MVP path, competitor teardown and keyword data are part of the paid database.
Unlock all ideas — $9/mo