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ThunderPhone

Product Hunt Alex Kolchinski

ThunderPhone launched as a self-serve platform for AI phone agents. It starts at 2¢/min and says its top tier hits 99.4% on Big Bench Audio.

Based on reporting by Product Hunt, Alex Kolchinski — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

ThunderPhone is pitching itself as a do-it-yourself way to build AI phone agents, with models included and pricing that starts at 2¢ per minute. The company says its Storm tier adds an extra-intelligence option and posts a 99.4% score on Big Bench Audio, with the eval set public on Hugging Face.

The product is aimed at the unglamorous work behind voice automation, not just the demo. Teams can build agents, run them through AI-caller simulations, monitor live calls, and let the system flag issues with suggested fixes.

And it is not narrowing the market to a single language corridor. ThunderPhone says it supports 47 languages, which is the kind of detail that matters more than any launch-day buzz.

The broader pitch is simple: make phone agents easier to build, cheaper to run, and less fragile once they are live. That is a useful promise, especially when the product is talking about both evaluation and repair instead of pretending the hard part ends at deployment.

My take — AI-written commentary, not fact-checked reporting

This is the right kind of AI product: less parade float, more plumbing. The industry has enough chatbot confetti already; the real gap is tools that let people test, monitor, and patch voice systems before they embarrass somebody on a live call. A public eval score helps, but the bigger signal is that the product is trying to make the boring parts first-class.

Read more about this at: Product Hunt

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