Nicheloom visits: 58,069 all-time · 7,637 in the last 7 days

The opportunity tracker for new startups.

Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

esp32-pie-asr

Live English speech recognition on the ESP32-P4: a 65.7M-parameter streaming transducer in 2/4-bit weights, faster than real time, on the chip alone. With six voice-control demos.

Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.

Want to reach these readers? Sponsor an issue.

GITHUB · launched Oct 25, 2026 · 16 upvotes (top 71%) · 0 views

Niche: speech and voice ai models · 143 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • asr
  • embedded
  • esp32-p4
  • quantization
  • risc-v
  • simd
  • +3 more

Visit website ↗ Source listing ↗

Could you build this?

No The product is a quantized streaming speech recognition model running in real time on an ESP32-P4 microcontroller. Building that requires embedded ML optimization, model quantization, and hardware-specific kernels that vibe coding cannot provide.

What it would actually take: A real version needs a streaming transducer model trained or converted for on-device use, quantized to 2 and 4 bits, and an inference engine tuned to the ESP32-P4 vector instructions and memory layout. It also needs audio front-end and real-time scheduling on the chip. This takes embedded ML and DSP engineers, plus the board and training data.

Competitors

Other products that read as similar to this one : 567 launches clear the similarity bar, closest 8 shown.

Attention rank: #419 of 568 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 353 days after the earliest competitor.

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.