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We built a local-first Android agent. Then Meta launched Muse

Details

External ID
49670587
Source
HN
Company
—
Product
We built a local-first Android agent. Then Meta launched Muse
Website domain
creepy.im
Launched
Sept. 12, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.12998405103668262
Tags
—
Fetched at
Sept. 16, 2026, 5:01 p.m.
Updated at
Sept. 16, 2026, 5:01 p.m.

Enrichment

Theme
developer tools for ai agents
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
local-first android ai agent
Manually corrected
False

Could you build this?

Partial The conversational Android UI and deep link dispatching are easy to build, but packaging an accurate, fast 2B model that runs entirely on-device and is fine-tuned on fragmented Android settings trees requires specialized ML engineering.

What it would actually take: Building a real on-device troubleshooting agent requires integrating on-device runtimes such as MediaPipe GenAI, ONNX Runtime Mobile, or llama.cpp within an Android service. The hard engineering problem is creating a curated dataset mapping natural language troubleshooting requests to exact Android Settings Intent actions, extras, and fragmented OEM hierarchies (Samsung OneUI, Xiaomi MIUI, Pixel), followed by parameter-efficient fine-tuning (LoRA) and aggressive 4-bit quantization to ensure the model runs smoothly without thermal throttling.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 291 launches clear the similarity bar, closest 8 shown.

Attention rank: #240 of 292 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 318 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.