Stoffel Labs

For Growth Engineers at Series C+ Apps

Ship private workout streak experiments
Zero PII headaches

Three lines of code. Zero privacy review delays. Unlock your most impactful fitness growth experiments without exposing raw workout data or user health information.

Schedule a call to learn more

No credit card required • P95 <50ms latency • Works with your existing stack

Private Retention Analysis - No Raw PII

// Node.js - Add to your existing experiment pipeline
import { StoffelMPC } from '@stoffel/sdk';

const mpc = new StoffelMPC('your-api-key');

// Compute W4 retention without exposing user IDs
const result = await mpc.compute({
operation: 'retention_cohort',
data: userCohorts.map(c => c.encryptedMetrics)
});

// Safe for Snowflake - no PII!
console.log(`W4 Retention: ${result.retention_rate}%`);

Stop letting your growth be held hostage by privacy fear

You have hypotheses about granular user patterns. Legal blocks every PII-touching experiment. Your experiment velocity is cut in half by 2-week privacy reviews.

PII Bottlenecks Kill Experiment Velocity

2-3 week "privacy review penalty" for any experiment touching new PII. Your most impactful personalization ideas become non-starters for rapid A/B testing.

Impact: 50% reduction in experiment throughput

Analytics Vendors = Privacy Washing

Mixpanel + Segment require sending user identifiers that make Legal nervous. Homomorphic encryption feels like "science fiction" for real-time needs.

Risk: Brand damage from data leaks

Compliance Theatre Fatigue

Hours spent on documentation that feels like "going through motions." EU deals require demonstrable privacy tech, not just policy promises.

Cost: Engineering cycles on paperwork vs. innovation

MPC-as-a-Service for Growth Teams

Dead-simple REST calls. Sub-50ms latency. Privacy-safe metrics without the crypto PhD.

Time-to-First-Metric: <30 min

3-line SDK, tutorial repo. Get your first private retention cohort running before your next standup. No specialized crypto knowledge required.

P95 <50ms Latency

Won't degrade your critical API paths. Benchmarked on AWS Graviton with real-world workloads. Your p99s stay sacred.

Fits Your Growth Stack

Node.js + Go services? Segment → Snowflake → Looker? LaunchDarkly feature flags? We have examples for your exact workflow.

Legal-Friendly by Design

No raw PII leaves your environment. Data only combined in encrypted state. Includes DPA template and Legal FAQ for efficient review.

Private W4 Retention Analysis

// Unlock retention experiments without PII exposure
import { StoffelMPC } from '@stoffel/sdk';

const mpc = new StoffelMPC('your-api-key');

// Analyze cohort retention privately
const cohortAnalysis = await mpc.compute({
operation: 'retention_analysis',
cohorts: [
{ week: 1, encrypted_users: week1Users },
{ week: 4, encrypted_users: week4Users }
]
});

// Ship to Looker dashboard - zero PII risk
await looker.updateMetric('w4_retention', {
rate: cohortAnalysis.retention_rate,
confidence: cohortAnalysis.statistical_significance,
experiment_id: 'social_features_v2'
});

Unlock Previously Impossible Experiments

Stop settling for "safer" experiments. Test your most impactful hypotheses with privacy-preserving analytics.

W4 Retention Boost

Test personalized onboarding flows based on activity patterns without exposing individual user data.

Viral K-Factor

Optimize social sharing mechanics using private social graph analysis and invite acceptance rates.

Local Buddy Matching

Test location-based workout partner features without sharing precise GPS coordinates.

Cohort Segmentation

Analyze user behavior segments for targeted experiments while maintaining individual privacy.

Trusted by growth teams who ship fast

Sally L.

Growth Engineer @ Series C Fitness App

"We went from ideas being dead-on-arrival due to PII concerns to shipping privacy-preserving A/B tests on sensitive user attributes in the same week. Game changer."

Marcus Kim

Senior Engineer @ RunConnect

"Integrated secret-share metrics for our social features in under an hour. Legal was actually impressed. No more 2-week privacy review delays."

Alex Liu

Tech Lead @ ActiveLife

"42ms average latency. Our feed performance didn't budge. Finally unlocked retention experiments we couldn't run before."

Discovery Phase

We are an early-stage, venture-funded startup currently in the discovery phase for our product. We're actively seeking insights from potential users like you to help shape the future of privacy-preserving analytics for growth teams.

If you believe our approach to MPC-as-a-Service could be beneficial for your challenges in shipping impactful, data-driven experiments while upholding user privacy, we would love to hear from you.

Please reach out to us at: discovery@stoffelmpc.com

Ready to unlock your most impactful experiments?

Join growth engineers who've eliminated privacy review delays and shipped game-changing features