What is Raindrop?
AI engineers use Raindrop to get alerts about hidden issues and successes in their AI products. Raindrop sends alerts when your AI misbehaves and links straight to events, so you can dig into conversations or traces, understand the root cause, and fix it, fast
Problem
AI engineers struggle to detect hidden issues and successes in their AI products using manual or generic monitoring tools, leading to delayed resolutions and potential performance degradation.
Solution
A monitoring and alerting tool for AI products that sends real-time alerts when anomalies occur, links directly to problematic events, and enables root cause analysis. Example: Track misclassified AI outputs or latency spikes.
Customers
AI engineers and developers building/deploying AI models in production, typically working at tech startups or enterprises with AI-driven products.
Unique Features
Specialized AI behavior tracking (unlike generic DevOps tools), automatic event linking for debugging, and integration with AI-specific data pipelines.
User Comments
Identifies edge cases I’d otherwise miss
Reduced debugging time by 50%
Critical for maintaining model accuracy
Simple integration with existing workflows
Alerts are actionable, not noisy
Traction
Launched 6 months ago, used by 1,200+ teams (per Product Hunt), $25k MRR (estimated from public traction), founder has 2.8K followers on X.
Market Size
The AI monitoring market is projected to grow to $4.7 billion by 2028 (MarketsandMarkets) as enterprises scale AI deployments.
