All platforms
Launch Platform

Score your BetaList description

ML models trained on 1k+ real BetaList launches. Get your probability score in seconds.

15-20%
signup conversion for featured listings

What the model looks for in BetaList descriptions

Competition level: Low. Success criteria: Signup conversion and early traction.

  • Early access / waitlist / beta language

    BetaList readers expect to join before public launch. Make the signup ask explicit.

  • Clear problem statement up front

    State the pain point in the first line before describing your solution.

  • What early adopters get for signing up

    Offer a concrete benefit such as lifetime discount or priority access.

  • Live product (not just an idea)

    Listings with a working demo convert better than concept-only submissions.

Training data for BetaList

Our BetaList model is trained on 1,452 real listings collected from the platform. Success is defined as: signup conversion and early traction.

1,452
Products in dataset
81.4%
Avg prediction score
0%
Avg prediction score

Highest-scoring examples

  • Lett3r99.8%
  • Blockbrain99.7%

How to use Launch Intel

Step 1

Paste your description

Name, tagline, and full description.

Step 2

Get your score

Instant probability and missing signals.

Step 3

Optimize with our tool

Re-score after each edit.

Try it now

Want the complete guide?

How to Get Listed on BetaList: A Complete Guide

Read now