An off-grid LLM platform deployed and accessible through 868Mhz LoRa mesh network. Requires no internet or whatever. Super long range. Useful in disaster/emergency situations. Supports user sessions, chat contextand even tools i.e calling emergency service.
I deployed a local LLM platform on Meshtastic. It is completely offline, requires no-internet, on both client and server side. So essentially disaster-proof apocalypse-grade ChatGPT.
Users can connect to it with a LoRa module from 1km away (tested in Budapest suburban area) or 8-15km with line of sight. Theoretically, this can reach even more than 1000km, the record is 1336km on LoRa Wan.
It can prove useful in disaster area, where mobile network and internet is not available. In addition to being a robust comm network, government can utilize the radio mesh to distribute helpful AI agents to people in need, get them updated on key info and survival guide.
Github: https://github.com/pham-tuan-bin...
Distance Testing Demo: https://youtu.be/Snfn_bGH_KE?si=...
Emergency Service Demo: https://youtu.be/KbpxYTYvm5o?si=...
would be nice to have it available in Turkey, where is prone to natural disasters.
Sorry to tell you, but the problem is not the distance, not the 200 symbols per message, not even Meshtastic. The problem is LoRa routing architecture. You simply can't guarantee the recipient will get the answer from your laptop, not saying make a significant throughput via LoRa. Many users or messages will lay the network down, causing a DoS attack.
This is such a cool and useful product. Great work—wishing you all the best with the launch.
About Radio LLM on Product Hunt
“Off-grid, disaster-proof LLM platform using Meshtastic”
Radio LLM launched on Product Hunt on December 17th, 2024 and earned 140 upvotes and 10 comments, placing #17 on the daily leaderboard. An off-grid LLM platform deployed and accessible through 868Mhz LoRa mesh network. Requires no internet or whatever. Super long range. Useful in disaster/emergency situations. Supports user sessions, chat contextand even tools i.e calling emergency service.
Radio LLM was featured in Hardware (11.4k followers), Artificial Intelligence (466.8k followers), GitHub (41.2k followers), YouTube (16.9k followers) and Radio (352 followers) on Product Hunt. Together, these topics include over 115.3k products, making this a competitive space to launch in.
Who hunted Radio LLM?
Radio LLM was hunted by Pham Binh. 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.
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