Score your Acquire.com description
ML models trained on 1k+ real Acquire.com launches. Get your probability score in seconds.
What the model looks for in Acquire.com descriptions
Competition level: Low. Success criteria: Listing closes with a buyer.
Specific revenue metrics (MRR, ARR, churn rate)
Buyers filter by numbers first. Include MRR, growth rate, and churn if available.
Clear reason for selling
Founders moving to a new project or retiring get more buyer interest than vague exits.
Customer concentration details
Disclose whether revenue is diversified or dependent on a few large accounts.
Handoff readiness (documentation, processes)
Listings that mention SOPs and transfer support close faster.
Training data for Acquire.com
Our Acquire.com model is trained on 1,225 real listings collected from the platform. Success is defined as: listing closes with a buyer.
Top categories
Highest-scoring examples
- The only AIO/SEO plugin for one of largest CMS Platform worldwide—50,000+ use...86.6%
- Fiscal doc generator SaaS. +90% margin, +$20k/mo. Self-serve, low owner effor...84.8%
How to use Launch Intel
Paste your description
Name, tagline, and full description.
Get your score
Instant probability and missing signals.
Optimize with our tool
Re-score after each edit.
Want the complete guide?