This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
TokenSaver is a self-hosted caching proxy that sits between your app and the LLM API. It deduplicates prompts using SHA256 for exact matches and sentence-transformers embeddings for near-identical queries. Catch retries, refreshes, and the same question from different users before they reach the API. Includes per-user budgets, Slack/email alerts, rate limiting, per-model cost analytics, and anomaly detection. Free for up to 5 users (MIT).
Hey ProductHunt! I built TokenSaver because my team was paying for the same GPT-4o calls 3-4 times without realizing it.
The key insight: most teams send the same prompts repeatedly — retries after timeouts, multiple devs building the same feature, dashboard refreshes. A SHA256 cache catches exact duplicates. A semantic embedding cache catches near-identical queries.
It's self-hosted with Docker, works with any OpenAI-compatible client. Free for small teams (MIT license).
Built solo from Mumbai, India. Would love your feedback!
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About Token saver on Product Hunt
“Self-hosted caching proxy that cuts LLM API costs”
Token saver was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #28 on the daily leaderboard. TokenSaver is a self-hosted caching proxy that sits between your app and the LLM API. It deduplicates prompts using SHA256 for exact matches and sentence-transformers embeddings for near-identical queries. Catch retries, refreshes, and the same question from different users before they reach the API. Includes per-user budgets, Slack/email alerts, rate limiting, per-model cost analytics, and anomaly detection. Free for up to 5 users (MIT).
Token saver was featured in Open Source (68.6k followers), Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218.1k products, making this a competitive space to launch in.
Who hunted Token saver?
Token saver was hunted by Kunal. 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.
Want to see how Token saver stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kunal