Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for Mac users who want low-latency local dictation and on-device speech cleanup without defaulting straight to a cloud transcription workflow.
Who should use it
Who should skip it
Skip altic-dev/FluidVoice unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
altic-dev/FluidVoice is tracked by RepoRadar as a local ai utility in the Local AI Tools section. It was first seen on 2026-06-28 and last updated on 2026-06-28. The current verdict is 'worth watch' with a Silver tier and easy setup difficulty. altic-dev/FluidVoice leads on setup ease (8.8) and open-source/build quality (8.4); its lowest signal is maturity (5.7), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned altic-dev/FluidVoice a composite score of 7.8 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'none' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The headline Fluid Intelligence enhancement path is not open source even though the main app is GPL-3.0; The polished workflow is macOS-only, so teams evaluating local speech tooling across Windows or Linux cannot test the same setup.