
Vaaani
The speaking coach that measures your voice, not guesses it
What it does
Vaani is an 18-layer acoustic pipeline for IELTS/TOEFL Speaking — Praat formants, peer-reviewed rhythm, syntax-tree grammar → Contrastive Interference Function against 8 Indian-L1 attractors (Bengali + Hindi on Svarah; six on published phonetics). No LLM. No GPU. Same audio = same band. Every L1 callout needs two-piece evidence: acoustic detection AND catalogue match — otherwise unlabelled, never pinned to an L1. Vaani tells you what it measured, how confident, and what it couldn't.
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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