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EarShot

实时面试提词器:本地 ASR + BM25 检索 + LLM 快答,说完 1.3~1.5 秒出答案(Windows)

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GITHUB · launched Sep 12, 2026 · 10 upvotes (top 74%) · 1 view

Niche: ai interview preparation tools · 186 launches, 20 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • HR & recruiting
  • Agent / copilot
  • Prosumer
  • AI-native
  • Hobby / open-source project
  • asr
  • bm25
  • interview
  • onnx
  • pyqt6
  • realtime
  • +3 more

Visit website ↗ Source listing ↗

Could you build this?

Partial While an LLM can script the integration of ASR, BM25, and LLM APIs, achieving sub-1.5s real-time end-to-end latency on Windows requires strict pipeline optimization and audio capture tuning.

What it would actually take: The stack likely uses Python or C++ with system audio capture (WASAPI/virtual loopback), lightweight local streaming ASR (e.g., Sherpa-ONNX or optimized Whisper), in-memory BM25 retrieval, and low-latency streaming LLM inference (e.g., vLLM or Groq). The hard part is minimizing the audio buffer chunk latency, silence/endpoint detection, and concurrent async pipelining to hit consistent 1.3s response times without hallucinating or dropping audio frames.

Competitors

Other products that read as similar to this one : 1188 launches clear the similarity bar, closest 8 shown.

Attention rank: #877 of 1189 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

  • Toneferry · github · 2026-09-10 · 17 upvotes · similarity 0.61
  • BlueAudioSink · github · 2026-10-30 · 44 upvotes · similarity 0.56
  • DeltaHarmonicaPlayer · github · 2026-09-15 · 27 upvotes · similarity 0.54
  • FurinaKit · github · 2026-09-09 · 13 upvotes · similarity 0.53
  • QingMusicPC · github · 2026-10-19 · 67 upvotes · similarity 0.53
  • AstraBridge · github · 2026-09-26 · 12 upvotes · similarity 0.52
  • stm32n6-asr · github · 2026-10-04 · 27 upvotes · similarity 0.52
  • R3ShieldCore · github · 2026-10-06 · 21 upvotes · similarity 0.51

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.