This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
onLM brings LLMs and speech recognition to your iPhone — fully on-device, no cloud, no API keys, no subscriptions. Choose between Apple Intelligence and open-source models from Hugging Face, all running locally via MLX on Apple Silicon. Voice transcription powered by Qwen3-ASR lets you dictate messages without a single byte leaving your device. Record, transcribe, and summarize — all offline. Download models once, use them anywhere. Your conversations and voice data never touch a server.
“Run LLMs on your iPhone — no cloud, fully private”
onLM was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #96 on the daily leaderboard. onLM brings LLMs and speech recognition to your iPhone — fully on-device, no cloud, no API keys, no subscriptions. Choose between Apple Intelligence and open-source models from Hugging Face, all running locally via MLX on Apple Silicon. Voice transcription powered by Qwen3-ASR lets you dictate messages without a single byte leaving your device. Record, transcribe, and summarize — all offline. Download models once, use them anywhere. Your conversations and voice data never touch a server.
Who hunted onLM?
onLM was hunted by Alexander Kryukov. 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 onLM stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alexander Kryukov