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fish-pocket

Run DeepSeek Harness on iPhone and iPad, with a fully native SwiftUI interface. No computer, no server. 在 iPhone 和 iPad 上本机运行 DeepSeek Harness,界面完全原生。

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GITHUB · launched Nov 5, 2026 · 170 upvotes (top 26%) · 0 views

Niche: mobile developer and terminal clients · 57 launches, 4 in the last 7 days ▼ -20% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Prosumer
  • AI-native
  • Hobby / open-source project
  • ai-agent
  • coding-agent
  • deepseek
  • deepseek-harness
  • dsh
  • dsh-ios
  • +6 more

Visit website ↗ Source listing ↗

Could you build this?

Partial A native SwiftUI interface for running an LLM harness is vibe-codeable, but running a capable model fully on an iPhone or iPad requires on-device inference optimization, which is hard, unless it calls a remote API.

What it would actually take: If it uses a remote API, a SwiftUI client with streaming, tool-call handling, and local storage is achievable with AI-assisted coding. Fully on-device operation needs quantized models (Core ML or MLX), memory-constrained inference tuning, and mobile ML engineering expertise.

Competitors

Other products that read as similar to this one : 257 launches clear the similarity bar, closest 8 shown.

Attention rank: #78 of 258 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 360 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.