ThunderPhone is a self-serve platform for building AI phone agents. From 2¢/min with models included. Our Storm tier, with its extra-intelligence option, scores 99.4% on Big Bench Audio — eval set public on Hugging Face. Build agents, test them with AI-caller simulations, monitor and steer live calls, and get auto-detected issues with proposed fixes. 47 languages.
Hi Product Hunt! Alex here, founder of ThunderPhone.
We spent the last year automating phone calls for enterprise customers and kept seeing the same failure: AI agents that mishear callers — names, addresses, spellings — until the caller gives up. So we built a different stack: a web of models where multiple transcription models and LLMs work each conversation turn together, instead of the usual three-step pipeline.
Last week we opened it to everyone: from 2¢/min with models included, an agent on a real phone number in minutes, AI-caller simulations to test it before it talks to a human, live call monitoring, and automatic issue detection on production calls. Our Storm tier (with the extra-intelligence option) scores 99.4% on Big Bench Audio — the eval set and transcripts are public on Hugging Face so you can check our work.
Try the live demo on our homepage without signing up. I'll be here all day — questions, feedback, and "it broke when I…" reports all welcome.
reliability is the real bottleneck in voice agents, not latency 🙌 congrats!
Congrats on the launch! Neat that I was able to sign up and try it out without having to put a credit card in. Do you share which models you use, or it a custom model?
Congratulations on the launch @kolchinski ! Is observability built into the system?
About ThunderPhone on Product Hunt
“Platform for building reliable AI phone agents (from 2c/min)”
ThunderPhone launched on Product Hunt on September 1st, 2026 and earned 102 upvotes and 14 comments, placing #14 on the daily leaderboard. ThunderPhone is a self-serve platform for building AI phone agents. From 2¢/min with models included. Our Storm tier, with its extra-intelligence option, scores 99.4% on Big Bench Audio — eval set public on Hugging Face. Build agents, test them with AI-caller simulations, monitor and steer live calls, and get auto-detected issues with proposed fixes. 47 languages.
ThunderPhone was featured in Customer Communication (12.8k followers), SaaS (44.1k followers) and Artificial Intelligence (477.9k followers) on Product Hunt. Together, these topics include over 179.1k products, making this a competitive space to launch in.
Who hunted ThunderPhone?
ThunderPhone was hunted by Alex Kolchinski. 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 ThunderPhone stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alex Kolchinski