AI/ML$20K-100K MRRMedium competition1-3 Monthstrending

TokenSave

Cut your LLM API costs by 40-60% with intelligent caching and routing.

● The Problem

Companies running LLM features are shocked by their API bills. Similar queries hit the API repeatedly. Simple requests go to expensive models. There is no cost optimization layer between your app and the LLM provider.

● The Solution

A proxy that sits between your app and LLM APIs. It caches semantically similar requests, routes simple queries to cheaper models, and batches requests when possible. Drop-in replacement for OpenAI/Anthropic SDKs.

Key Signals

MRR Potential

$20K-100K

Competition

Medium

Build Time

1-3 Months

Search Trend

rising

Market Timing

LLM costs are the new cloud compute bill shock. Companies that shipped AI features fast are now optimizing costs.

MVP Feature List

1Semantic caching
2Model routing rules
3Cost dashboard
4OpenAI-compatible API
5Usage alerts

Suggested Tech Stack

PythonRedisVector DBFastAPI

Build It with AI

Copy a prompt into your favorite AI code generator to start building TokenSave in minutes.

Replit Agent

Full-stack MVP app

Build a full-stack MVP for "TokenSave". PRODUCT Cut your LLM API costs by 40-60% with intelligent caching and routing.

Bolt.new

Next.js prototype

Create a working prototype of "TokenSave". OVERVIEW Cut your LLM API costs by 40-60% with intelligent caching and routing.

v0 by Vercel

Marketing landing page

Design a high-converting marketing landing page for "TokenSave". PRODUCT TokenSave: Cut your LLM API costs by 40-60% with intelligent caching and routing.

Go-to-Market Strategy

Publish a "LLM Cost Calculator" tool for lead generation. Target companies spending $1K+/month on LLM APIs. Case studies showing 40-60% cost reduction. Integrate with popular frameworks (LangChain, LlamaIndex).

Target Audience

AI EngineersEngineering ManagersCTO/VPs at AI-First Companies

Monetization

Usage-Based

Competitive Landscape

Portkey and Helicone offer observability. BricksLLM is open-source. LiteLLM handles routing but not caching. The combined caching + routing + cost optimization play is relatively open.

Why Now?

The first year of AI feature deployment prioritized speed. Year two is about cost optimization. Every finance team is asking "why is our OpenAI bill $50K/month?"