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LocalMind
On-device AI assistant for Android. No cloud. No signup.
LocalMind runs an LLM (Qwen 2.5 / Gemma 2 / Phi-4 family) entirely on your phone via llama.cpp. No API calls, no telemetry, no signup. The 1.5B Q8 model fits in ~2GB RAM on a 2022-class phone. Conversations are kept in encrypted local storage; one tap to wipe. Works on airplane mode. Built for people who want AI help without their conversations sitting in someone else's cloud.
Hi 👋 Maker here. LocalMind is the on-device LLM for Android I built because every AI app I tried wanted to send my prompts to someone else's cloud. On LocalMind the model runs entirely on the phone via llama.cpp — no API calls, no telemetry.
Stack: GGUF-quantized models (Qwen 2.5 / Gemma 2 / Phi-4), CPU inference. The 1.5B Q8 fits in ~2GB RAM during inference on a 2022-class phone. Conversations stay in encrypted local storage; one tap to wipe.
Things I'd love feedback on:
• Default model: 1.5B sweet spot, or should the smaller 0.5B be default?
• Any preset prompt template that would be killer built-in?
• Speed vs. quality tradeoff — is on-device latency acceptable for you?
About LocalMind on Product Hunt
“On-device AI assistant for Android. No cloud. No signup.”
LocalMind was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #139 on the daily leaderboard. LocalMind runs an LLM (Qwen 2.5 / Gemma 2 / Phi-4 family) entirely on your phone via llama.cpp. No API calls, no telemetry, no signup. The 1.5B Q8 model fits in ~2GB RAM on a 2022-class phone. Conversations are kept in encrypted local storage; one tap to wipe. Works on airplane mode. Built for people who want AI help without their conversations sitting in someone else's cloud.
On the analytics side, LocalMind competes within Android, Privacy and Artificial Intelligence — topics that collectively have 538.2k followers on Product Hunt. The dashboard above tracks how LocalMind performed against the three products that launched closest to it on the same day.
Who hunted LocalMind?
LocalMind was hunted by shaharb. 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 LocalMind including community comment highlights and product details, visit the product overview.
shaharb