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edgedecision

Local voice control for Home Assistant on a Raspberry Pi 5: streaming speech-to-text (EdgeSTT) and a small non-generative decision engine (EdgeDecision). 9 languages, no cloud, no LLM.

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This is 1 of 84 launches in voice productivity assistants — see how it stacks up on momentum and crowding →

397 other launches read as similar to this one →

Details

External ID
1406366206
Source
GITHUB
Company
—
Product
edgedecision
Website domain
github.com
Launched
Oct. 5, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.14
Tags
hacs, home-assistant, home-assistant-addon, local-first, onnx, raspberry-pi, speech-to-text, voice-assistant, wyoming

Enrichment

Niche
voice productivity assistants
Vertical
Horizontal
Function
Dev tools
Audience
Prosumer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
local voice control for home assistant
Manually corrected
False

Could you build this?

Partial While Home Assistant integrations are common, running real-time streaming speech-to-text across 9 languages alongside a deterministic intent parser on an edge device (Raspberry Pi 5) requires strict optimization and embedded ML tuning.

What it would actually take: The system utilizes embedded streaming STT engines (like sherpa-onnx, whisper.tflite, or Vosk) optimized for ARM NEON instructions and CPU memory bounds on the Pi 5. The intent parser uses grammar-based or lightweight deterministic finite-state automata (FSTs) integrated via Home Assistant's WebSocket/REST APIs. Building it requires expertise in embedded systems, on-device audio streaming buffers, and localized multilingual acoustic model compression.

Competitors

Other products that read as similar to this one — 397 launches clear the similarity bar, closest 8 shown.

Attention rank: #336 of 398 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 335 days after the earliest competitor.

Other launches for this product