Lisnify turns the RSS feeds you actually want to follow into a daily AI podcast. You control how the hosts sound and how they talk. We are a tiny team in Kyoto (one developer plus Claude Code), building the listening experience we wanted for ourselves.
The list of topics you want to follow keeps growing, but the time and energy to actually read through all that text every day does not. Meanwhile, podcasts that hit exactly what you care about are hard to find, and when you do find one, the host's voice does not sit right, or new episodes show up so rarely that you give up. Lisnify exists to fill that gap. AI hosts you have tuned put together a show just for you, from the feeds you chose. A station of your own, one listener at a time.
It all started the first time I listened to a NotebookLM audio overview. The AI was taking breaths, and that floored me. Around the same time, for an unrelated project, I had Adobe Audition open and was picking through a podcast my wife had recorded, pulling out breath sounds, "um"s, "uh"s, all of it, one by one. The same thing I was scrubbing out of a real human voice as noise was what the machine was deliberately adding to feel real. Do you think that's air you're breathing now? Morpheus's line dropped into my head out of nowhere.
I tried to share the excitement with a few people, and it mostly fell flat. That was when I first realized this was my own fixation, not a universal one. When NotebookLM's audio overview launched, I do not think Google was offering the underlying TTS engine on its own yet. A while later I noticed Gemini 2.5 Flash TTS Preview had quietly become available, and that is when I went all in. RSS curation, AI scripting, multi-voice synthesis. Lisnify's current shape was reverse-engineered from that goosebumps moment.
A single voice reading text aloud is not enough. What turns 20 minutes from a chore into something you want to keep listening to is the back-and-forth: multiple AI personalities working through a real script together.
A podcast you generate once is just a novelty. Lisnify is built around a daily rhythm so that listening becomes a habit, the same way glancing at the morning news is.
If a host's tone or topic mix stops working for you, change the settings and tomorrow's episode reflects it. Promising a perfect AI is dishonest. Handing you the dials is not.
Credits are reserved at the maximum cost before each episode is generated, and any unused portion is refunded automatically when it finishes. Failed generations or feeds with no fresh content cost you zero. You only pay for what is actually generated is a design principle here, not a tagline.
Lisnify is run by Jugemu Tech LLC, a company based in Kyoto, Japan. The team is small, but we are building something we want to use ourselves, so if you find it useful too, that genuinely makes our day.
Bug reports, feature requests, partnership talks, or just thoughts on the product, we read every message. If you already use Lisnify, you can also reach support from inside the app.
For business inquiries, you can also reach the operating company directly at info@jugemu.tech.
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