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EcoToken
AI Prompt Optimization and Prompt Library Management.
Optimize AI prompts, track real token + dollar savings, and calibrate per project. Works with Claude, GPT-4o, Gemini, and any LLM you already use. Free to start, $5/mo with your own Anthropic key.
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About EcoToken on Product Hunt
“AI Prompt Optimization and Prompt Library Management. ”
EcoToken was submitted on Product Hunt and earned 9 upvotes and 2 comments, placing #96 on the daily leaderboard. Optimize AI prompts, track real token + dollar savings, and calibrate per project. Works with Claude, GPT-4o, Gemini, and any LLM you already use. Free to start, $5/mo with your own Anthropic key.
EcoToken was featured in Productivity (651.7k followers), Developer Tools (512.4k followers) and Artificial Intelligence (468.5k followers) on Product Hunt. Together, these topics include over 294.7k products, making this a competitive space to launch in.
Who hunted EcoToken?
EcoToken was hunted by Benjamin Barnes. 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.
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Benjamin Barnes
Last quarter I spent $340 on Claude API for one project. When I looked at
the logs, ~50% of my tokens were going to clarification follow-ups —
prompts that weren't specific enough the first time.
So I built EcoToken: it rewrites your prompts to be denser, then tracks
the actual tokens + dollars you saved across runs. Works with Claude,
GPT-4o, Gemini, or any LLM (BYO key for $5/mo, free tier with 10 runs).
Live at: ecotoken.dev
Free tier needs no card.
Happy to answer any technical questions about the optimization approach
(it's a mix of whitespace compression + Claude Haiku rewriting + per-
project calibration).