LegitShow is the trusted source on every launched service — web apps, SaaS, AI tools, MCP servers and developer tools: what each one does, who it’s for, and how it actually holds up, measured by an objective 7-Frame production-readiness benchmark taken deterministically from the public surface. How we measure →


Legit.Show benchmarks every launched service it lists — measured deterministically from the public surface. See the methodology →

Cross-links · Directory · Reports · Insights · What AI reads · Methodology · About

Privacy · Terms · @Legit_Show on X · GitHub · operated by Madeflo Inc., a Delaware corporation. Benchmark engine powered by commit.show.

AI & Agents

Hush

Last updated 2026-06-23 · benchmark measured 2026-08-09 — deterministic & reproducible

Open-source noise suppression model that cleans background audio from voice calls.

75/100
Legit Benchmark — the simple average of 6 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.

Is Hush production-ready?

Legit.Show scores Hush 75 out of 100 — the simple average of its 6 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Hush (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Discoverability; its weakest is Privacy. 6 of the seven frames returned a score; Accessibility was not measurable on this service and is recorded as null — not as zero. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who built it

Hasan Ali Naqvi · product account @weyaAI

Who it's for

Voice AI developers · BFSI teams · Call center operators · Speech recognition applications · Compliance teams

Pricing

Pay as you go: $0.12+/min for AI Voice Agents, $0.062+/Session for AI Chat Agents; Enterprise: custom pricing for 50,000+ min/mo; $10 free credits to start.

Visit Hush → · Alternatives to Hush → · How this was measured →