Most AI chat apps look the same, often borrowing the same shadcn-style web UI. EchoFlow is an open-source, purely BYOK, native Android AI chat app built to feel fresh, fun, and truly Android-native with Material Expressive design. Chats are stored locally on your device, past history is available offline, responses are powered through OpenRouter, and there’s no tracking.
I built EchoFlow because I wanted AI chat on Android to feel like it truly belongs on your phone, not like a web app placed inside an Android shell.
It’s open-source, purely BYOK, and currently powered through OpenRouter. Your conversations are stored locally on your device, so you can still open and read past chats even when you’re offline. No tracking, no cloud inbox for your history, just your chats on your device.
A big focus was the Android experience. Most AI apps feel like the same web UI with different branding, and many mobile apps copy the same iOS-style patterns. I wanted EchoFlow to feel fresh, fun, and Android-native, with Material Expressive design, springy animations, wallpaper-based theming, and a UI that feels connected to your device.
The goal is for the app you use every day to feel built for you, rather than feeling like every other app.
I’m also planning to support more AI providers beyond OpenRouter, and a native iOS app is coming too.
I’d love your feedback on the design, local chat history, and what would make EchoFlow better for everyday AI use.
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About EchoFlow on Product Hunt
“Native Android AI chat with chats stored locally”
EchoFlow launched on Product Hunt on June 3rd, 2026 and earned 78 upvotes and 1 comments, placing #22 on the daily leaderboard. Most AI chat apps look the same, often borrowing the same shadcn-style web UI. EchoFlow is an open-source, purely BYOK, native Android AI chat app built to feel fresh, fun, and truly Android-native with Material Expressive design. Chats are stored locally on your device, past history is available offline, responses are powered through OpenRouter, and there’s no tracking.
EchoFlow was featured in Android (57.2k followers), Artificial Intelligence (470k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 160.3k products, making this a competitive space to launch in.
Who hunted EchoFlow?
EchoFlow was hunted by Aditya Vardhan Sharma. 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 EchoFlow stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aditya Vardhan Sharma