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Tokemizer
Stop Paying for Fluff !
Tokemizer is the AI cost-efficiency layer between your app and the LLM. It removes unnecessary context, reduces token usage, protects sensitive data, and validates each optimized request before it reaches the model. Built for AI apps, agents, RAG systems, and high-volume LLM workloads, Tokemizer helps teams cut inference costs without changing their existing models or workflows.
Hi Product Hunt 👋
We built Tokemizer around a simple idea: not every token is worth paying for.
AI apps, agents, and RAG systems often send bloated context, repeated information, tool outputs, and unnecessary history to LLMs. Tokemizer sits before the model, cleans up that context, protects what matters, validates the optimized request, and forwards only what needs to go.
The goal is simple: fewer unnecessary tokens, lower LLM costs, and no need to change your underlying model or workflow.
We’re launching with support for AI apps, agents, RAG workloads, API/MCP integrations, PII masking, and usage telemetry.
We’d love feedback from builders running real AI workloads
And yes - our pricing philosophy is simple too:
You pay when you save.
About Tokemizer on Product Hunt
“Stop Paying for Fluff !”
Tokemizer was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #144 on the daily leaderboard. Tokemizer is the AI cost-efficiency layer between your app and the LLM. It removes unnecessary context, reduces token usage, protects sensitive data, and validates each optimized request before it reaches the model. Built for AI apps, agents, RAG systems, and high-volume LLM workloads, Tokemizer helps teams cut inference costs without changing their existing models or workflows.
On the analytics side, Tokemizer competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Tokemizer performed against the three products that launched closest to it on the same day.
Who hunted Tokemizer?
Tokemizer was hunted by Muhammad Ashar Anis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tokemizer including community comment highlights and product details, visit the product overview.
Muhammad Ashar Anis