HN · GitHub Signals

OPEN SOURCE, IN FOCUS

pocket-tank

mediacutlet/pocket-tank

A 14M-parameter LLM keeps a virtual fish tank alive on an $8 ESP32-S3 — distilled from a 26B teacher into 7.56 MB, no network.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

andrisgauracs

needle-2-esp32

A 45M-parameter LLM: needle 2 running fully offline on an ESP32-S3, turning plain-English requests into guaranteed-valid JSON tool calls.

Take a look →
therezor

cardputer-ai

Fully offline tiny LLM chatbot on the ESP32-S3 Cardputer ADV - 8M params, Q4 weights baked into the firmware, ~5 tok/s.

Take a look →
lokutor-ai

oido

Oído: open-vocabulary speech recognition that fits in a $5 ESP32-S3. 3.7% LibriSpeech WER, no cloud, no NPU.

Take a look →
sahir619

fable-method

The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.

Take a look →