Score your Indie Hackers description
ML models trained on 72k+ real Indie Hackers launches. Get your probability score in seconds.
What the model looks for in Indie Hackers descriptions
Competition level: Low. Success criteria: Revenue-generating (MRR > $0).
Specific MRR/ARR numbers (even small ones)
Founders share real revenue figures. Vague traction claims underperform.
Bootstrapped, founder-to-founder tone
Write like you are talking to another builder, not pitching investors.
Honest about challenges and setbacks
Posts that include what went wrong earn more engagement than pure success stories.
B2B or prosumer product positioning
SaaS and productivity tools dominate revenue-generating products in our Indie Hackers dataset.
Training data for Indie Hackers
Our Indie Hackers model is trained on 72,025 real listings collected from the platform. Success is defined as: revenue-generating (mrr > $0).
Top categories
Highest-scoring examples
- Happy Cog95.5%
- ReelBuzz94.8%
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.
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