SIGNR PRESS KIT
Copy reviewed: 11 October 2026

Dannic built SIGNR after years on both sides of the demo inbox.
Why a good track can still be the wrong demo for a label.

Find what needs work in your demo.
  See what to improve, what to leave alone and which labels to explore. Whether you're sending a demo or releasing it yourself.

SIGNR helps electronic music producers understand what needs attention in a demo, what to keep and which labels to explore. It combines audio measurements, researched label context and AI-written assessments in one report.
Dannic designed SIGNR from his experience sending demos and receiving them. The report gives producers findings to take back into the studio, whether they plan to submit to a label or release the track themselves.

SHORT DESCRIPTION
Dannic built SIGNR after years on both sides of the demo inbox. SIGNR combines audio measurements, researched label context and AI-written assessments to help electronic music producers understand what needs work and choose their next step. Free preview; EUR 9 for a full report plus one revision of the same track. 100+ label profiles inform label direction. signr.live.

LONG DESCRIPTION
Dannic built SIGNR after years on both sides of the demo inbox. Why a good track can still be the wrong demo for a label. SIGNR helps electronic music producers investigate their mix, explore relevant labels and decide what to do next, including when they release independently. Code measures. Research adds context. AI assesses and explains. You decide. 100+ label profiles inform label direction; a smaller calibrated set supports sonic comparison. The report includes detailed mix feedback, Mix Mirror, label context and a PDF. A free preview comes first. EUR 9 includes the full report plus one revision of the same track to compare versions. Reports are generated automatically, without a personal listening session by Dannic. A label match is not a signing prediction.

SHAREABLE
Built by Dannic from years on both sides of the demo inbox, SIGNR helps electronic music producers understand what needs work in a track and which labels to explore. Audio measurements, researched context and AI-written assessments come together in one report. Start with a free preview at signr.live.

QUESTIONS
Is my music used to train AI?
Your audio file is not sent to the report-writing AI. Measurements and the track details you provide are sent to Anthropic to generate your report. Anthropic says commercial API inputs and outputs are not used for training by default, with exceptions for feedback or permission to use data. Account-specific permissions and any manual reuse of SIGNR data have not been verified, so we cannot give an unconditional no-training promise for every data flow.

Do Dannic’s label relationships influence SIGNR?
Dannic has released music on labels that appear in SIGNR. The reviewed matching code uses genre, tempo and profile data, with no founder-relationship scoring input. Label profiles and genre rules still involve editorial choices; this is not proof that every comparison is free of bias.

Does SIGNR use AI?
Partly, and the report tells you which part. The measurements are computed from your audio by signal analysis, not by a language model. A model writes the interpretation, working from those measurements and the label research. Measured values, catalogue comparisons and written assessments are labelled separately so you can see which is which.

Can I upload a demo or an unfinished mix?
Yes, and that is the normal case. The report works from what the audio supports at that stage. If a track is too short or too unfinished for a part of the analysis, the report says that plainly and holds that part back.

Does a label match mean a label will sign my track?
No. A label match describes how your measured track relates to that label’s releases and stated direction. It is a reading of where your sound sits, not a prediction of any label decision. SIGNR has no role in what a label does with a submission.

Is every report personally reviewed by Dannic?
Dannic designed what SIGNR checks. Your report is generated automatically, without a personal listening session by Dannic. You make the creative decisions. Each label makes its own signing decisions.

Where does the label information come from?
Public sources: label pages and submission routes, interviews and public statements from label people, and release data. How much evidence exists differs per label, so the report shows the source and the date behind what it tells you, and stays quiet where there is nothing solid.

Training policy source: https://privacy.claude.com/en/articles/7996868-is-my-data-used-for-model-training
Current offer: https://www.signr.live/pricing
Data handling: https://www.signr.live/privacy
Press contact: support@signr.live


Screenshot update: 14 October 2026. All four product images now come from https://www.signr.live/example: verdict, demo preparation, label shortlist and Mix Mirror. This replaces the earlier screenshot descriptions.
