
FlyCode
https://www.flycode.comRecover failed subscription payments to increase retention and LTV
FlyCode helps subscription merchants maximize revenue. We reduce involuntary churn by managing payment failures intelligently. We’re Jake, Etai, and Tzachi and we’re building FlyCode. TL;DR: If you sell SaaS or B2C subscriptions, we’re here to help you recover lost revenue due to failed payments and involuntary churn. ‘Involuntary’ or ‘Passive’ churn is a hidden Revenue Killer 💳 for Subscription Businesses ❌ THE PROBLEM: Recovering Failed Payments is Complex Involuntary churn refers to the loss of subscribers due to payment failures, not due to them actively canceling. While it is both possible and a worthwhile strategy to attempt to win back a customer during the cancellation process — involuntary churn is not intentional and in most cases, your customers aren’t even aware that their payment failed. 💰 Bottom line? Effective payment optimization does reduce involuntary churn and will increase ARR by as much as 5-10% FLYCODE SOLUTION 💡 FlyCode leverages ML and AI to provide Payment Optimization and smart payment retries to maximize subscription revenue and reduce churn. We apply a unique model tailored to each Merchant and their customers to ensure optimal results. ⚡️Automatically recover failed subscription payments and reduce passive churn ⚡️Use ML & AI based payment optimization to find the best time to charge your customers ⚡️ Improve customer experience by coordinating payment retries with customer emails/SMS 🛠️ We support OOTB + Custom Integrations for Merchants and White-Label for Platforms
Total Open and Closed Positions
Total open positions, and positions newly closed since the previous update
Department Headcount Over Time
Open positions per department · top 6 at any point in the window
Newly Opened and Closed Positions
Position Churn Rate
Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels
Time-to-Fill Distribution
Days from open to close · closed positions only
Salary Trend Over Time
Monthly median base salary · USD · annualized · p25/p75 dashed
Salary Range by Department
Employment Type
Technical vs. Non-technical
Open positions · by department
Top Roles by Department
Seniority Mix
Derived from job title keywords
Equity Range by Department
Top Skills
Top Tech Stacks
Skills Trend
Change in share of postings · recent 3 months vs. prior 3 months
Tech Stack Evolution
Positions opened per month · top 5 technologies