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Q17 Private AI
Private offline AI chat, vision, voice and image generation
Q17 Private AI brings private on-device AI to Android: offline AI chat, vision, voice input, offline TTS, file attachments, AI agents, separate project workspaces, benchmarks, CPU Safe Mode, and on-device image generation. It supports CPU/GPU backends with Vulkan and OpenCL acceleration on compatible phones, plus UI translations for 11 global languages.
Hey Product Hunt, I’m Akshit Kushwaha, maker of Q17 Private AI.
I built Q17 because I believe Android users should have access to useful AI without depending on the cloud for every core task. Q17 is a private AI app designed around local on-device intelligence: offline chat, vision support, voice input, offline text-to-speech, file attachments, device benchmarks, separate project workspaces, AI agents, and on-device image generation.
A big part of Q17 is device-aware performance. The app supports CPU execution, CPU Safe Mode for compatibility, and GPU acceleration paths using Vulkan and OpenCL on supported devices. The idea is simple: if a phone can safely run faster, Q17 should use that power; if the device is unstable or unsupported, it should fall back to safer local execution instead of crashing or giving users a broken experience.
Q17 also includes separate project workspaces so users can organize different tasks, files, and chats without mixing everything into one messy history. That matters for real use cases like study notes, personal writing, coding help, document analysis, business ideas, and private research.
I also worked on global usability. Q17 includes UI translations for 11 global languages, because private AI should not feel limited to only English-speaking users. The goal is to make local AI more accessible for people who want privacy, offline access, and ownership over their data.
This is not meant to be “just another chatbot wrapper.” Q17 is built for Android-first private AI: local models, local voice, local vision, local image generation, project organization, compatibility checks, and multiple runtime paths for different phones.
I’d love feedback from the Product Hunt community on the positioning, onboarding, device compatibility, pricing, and which local AI workflows you would want next.
About Q17 Private AI on Product Hunt
“Private offline AI chat, vision, voice and image generation”
Q17 Private AI was submitted on Product Hunt and earned 7 upvotes and 5 comments, placing #91 on the daily leaderboard. Q17 Private AI brings private on-device AI to Android: offline AI chat, vision, voice input, offline TTS, file attachments, AI agents, separate project workspaces, benchmarks, CPU Safe Mode, and on-device image generation. It supports CPU/GPU backends with Vulkan and OpenCL acceleration on compatible phones, plus UI translations for 11 global languages.
On the analytics side, Q17 Private AI competes within Android, Privacy and Artificial Intelligence — topics that collectively have 541.6k followers on Product Hunt. The dashboard above tracks how Q17 Private AI performed against the three products that launched closest to it on the same day.
Who hunted Q17 Private AI?
Q17 Private AI was hunted by Akshit Kushwaha. 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.
For a complete overview of Q17 Private AI including community comment highlights and product details, visit the product overview.
Akshit Kushwaha