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splash

A local inference engine for Apple silicon, built around the model.

Details

External ID
1376380844
Source
GITHUB
Company
—
Product
splash
Website domain
inco.ai
Launched
Sept. 18, 2026
Cohort
—
Upvotes
610
Upvotes percentile
0.9912887522418652
Tags
apple-silicon, coding-agents, llm-inference, macos, metal, speculative-decoding
Fetched at
Sept. 22, 2026, 5:02 p.m.
Updated at
Sept. 22, 2026, 5:02 p.m.

Enrichment

Theme
ML inference and model optimization
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local inference engine for apple silicon
Manually corrected
False

Could you build this?

No Developing a custom Apple Silicon LLM inference engine with shape-specific fused Metal/MPS kernels, speculative decoding, and custom memory layout requires elite systems and GPU programming expertise.

What it would actually take: Built using Metal Shading Language (MSL), C++/Swift, and Apple's Unified Memory APIs with custom GPU memory allocators and fused transformer kernels. The hard part is hand-tuning matrix multiplication and attention kernels to rival or beat Apple's MLX and llama.cpp while implementing specialized speculative draft models for specific architectures.

Competitors

Other products that read as similar to this one — 2283 launches clear the similarity bar, closest 8 shown.

Attention rank: #25 of 2284 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 324 days after the earliest competitor.

Other launches for this product

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