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XTen

A song's guitar tone as knob values on your own gear

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Pick a song and the gear you own, and XTen tells you how far to turn each knob. Upload an audio file or paste a YouTube link, choose your amps, pedals, multi-effects, guitar and pickup, listen to the separated guitar tracks, and get values written in each device's real knob names and scale. Every value carries a trust grade: amp gain band and delay time are reliable, and the rest are starting points to tune by ear. Supports 119 amps, 336 pedals, 49 multi-effects families and 175 guitars.

PH · launched Nov 10, 2026 · 1 upvote (top 65%) · 0 views

Niche: audio and music production software · 188 launches, 25 in the last 7 days ▼ -24% · Explore this niche →

Category and tags

  • Media & entertainment
  • Prosumer
  • Not AI
  • Commercial product
  • Music
  • Artificial Intelligence
  • Audio

Visit website ↗ Source listing ↗

Could you build this?

Partial Stem separation can use open-source models and the UI for picking gear is standard, but accurately inferring knob settings from audio and maintaining a gear parameter database is hard.

What it would actually take: A real version combines a source-separation model (such as Demucs), a per-device database of knob names, scales, and tone-to-parameter mappings, and an audio-matching or optimization engine that estimates settings for a target tone. The hard parts are the signal-processing and ML work to map audio to parameters, plus the costly manual curation of accurate gear data. This needs audio DSP and ML expertise and access to modeler/amp profiling data.

Competitors

Other products that read as similar to this one : 276 launches clear the similarity bar, closest 8 shown.

Attention rank: #130 of 277 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 371 days after the earliest competitor.

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