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Utter โ€” Offline personal assistant

Hold a key, say it โ€” your desktop does it. ๐ŸŽ™๏ธ

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This is 1 of 305 launches in ai voice dictation and autocomplete tools — see how it stacks up on momentum and crowding →

123 other launches read as similar to this one →

Details

External ID
1266975
Source
PH
Company
โ€”
Product
Utter โ€” Offline personal assistant
Website domain
producthunt.com
Launched
Oct. 3, 2026
Cohort
โ€”
Upvotes
2
Upvotes percentile
0.76
Tags
Productivity, Open Source, Artificial Intelligence, GitHub

Description

โšก Open apps, manage windows, click, type, hit shortcuts ๐Ÿ”’ Fully offline โ€” no cloud, no account, no telemetry ๐Ÿ‘€ Context-aware: knows the focused app and screen ๐Ÿง  Rules first, tiny local model chooses as fallback ๐Ÿงฉ Per-app custom actions with editable shortcuts ๐Ÿค– Voice + CLI, same pipeline (`--json`), agent-friendly ๐ŸŽ›๏ธ Switch off vision, idle sleep, backends โ€” yours to tune ๐Ÿ”Œ Plug-in core: swappable STT/LLM/vision/action plugins ๐Ÿง Linux today ยท ๐ŸŽ macOS beta ยท Apache-2.0

Enrichment

Niche
ai voice dictation and autocomplete tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
offline voice assistant for desktop users
Manually corrected
False

Could you build this?

Partial Developing an offline native desktop assistant requires low-level OS accessibility APIs, window management hooks, and bundled local speech-to-text plus small language models.

What it would actually take: Requires native development in Rust, C++, or Swift/Objective-C to interface with OS accessibility frameworks (e.g., macOS Accessibility API, Windows UI Automation) and simulate inputs. It needs an embedded on-device STT engine (like whisper.cpp) and a quantized local LLM runtime (like llama.cpp) tuned for low latency and zero resource bloat when idling.

Competitors

Other products that read as similar to this one — 123 launches clear the similarity bar, closest 8 shown.

Attention rank: #38 of 124 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product