
Veltora
Veltora predicts customer churn risk using weighted logistic
Hey IH! I just launched Veltora (https://veltora-beta.vercel.app) and wanted to share the journey + get some honest feedback. The problem I kept running into: Every churn prediction tool I've used gives you a risk score with zero context. "72% churn risk" — great. But is that bad? Is it normal for my industry? I had no idea. So I spent months compiling 2024–2025 published churn benchmarks from 35+ companies (Netflix, Salesforce, AT&T, Chase, and more) across 9 industries, and built a weighted logistic regression model calibrated to those benchmarks. What Veltora does: - Takes your customer metrics as input - Runs them through an industry-specific ML model - Returns a risk score with benchmark context — you see how you compare to real companies in your vertical - Portfolio dashboard to explore industry-wide benchmark data What I built it with: React + Vite + Recharts, Clerk for auth, Stripe for payments, deployed on Vercel. Freemium model. Where I'm stuck: Honestly — distribution. The product works, I'm happy with the model, but I'm not sure the best way to reach customer success teams and rev ops folks who would actually pay for this. Any IH folks who have cracked B2B distribution for a tool like this? Open to any feedback on the product or pricing too. 🔗 veltora-beta.vercel.app — free tier available
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The benchmarks that exist are scattered across whitepapers, investor decks, and earnings calls. Nobody had pulled them together into something you could actually use.

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