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OPEN SOURCE SOLUTION THAT MIGHT HELP SOMEONE THIS WEEK: Failed payments are one of those “silent churn” problems: most teams either retry once, or chase customers manually. I built an automated recovery system that treats each failure differently (expired card ≠ insufficient funds ≠ fraud/blocked):
webhook catches failure → 2) categorize reason → 3) smart retry schedule + tailored messaging → 4) track recovery + alert for manual cases
In one implementation, recovery moved from ~8–12% (manual) to ~28–35% (automated) with way less ops time. Write-up: https://dev.to/etherlabsdev/i-built-an-automated-payment-recovery-system-that-recovers-3x-more-failed-payments-epg Repo: https://github.com/Etherlabs-dev/payment_recovery_engine Curious: what % of your MRR typically gets hit by failed payments each month? Where do you see more declines: expired cards, insufficient funds, or generic “do_not_honor”?
Jai T. Sorry for answering late. To keep things simple. Think of a marketplace like a shopping mall: a seller sets a price, and the marketplace takes a small cut for bringing the customer. So the “price” for one order usually comes from a few simple pieces:
Seller’s price (e.g., $100 for a service / $50 per night)
Marketplace cut (say 10–20%)
Extras (discount codes, fees, refunds/cancellations)
Leakage happens because those pieces are often handled by different parts of the system (the app, checkout, payment processor, customer support refunds). If any one part is slightly wrong—like a seller accidentally set to 0% commission, an old commission rate still being used, or a discount/refund applied incorrectly—the customer still pays… but the marketplace quietly earns less than it should. My tool just checks each order after it happens: “Based on our rules, what should we have earned?” and flags anything that doesn’t match.
Quick share in case it helps anyone running a marketplace (services / rentals / ecommerce). I built an open-source revenue leakage detector that continuously validates each transaction against your take-rate + pricing + discount rules — because Stripe (or any other provider) will happily “charge correctly”… even when the logic is wrong. It catches stuff like:
missing / zero commission (webhook or logic gaps)
sellers stuck on legacy take-rates
underpriced listings (min price not enforced)
discount abuse / expired codes still working
“free trial limbo” (usage continuing without payment)
Write-up + architecture (n8n + Supabase + Slack alerts + recovery queue): https://dev.to/etherlabsdev/i-built-a-revenue-leakage-detector-that-saves-marketplaces-up-to-50kyear-open-source-4cgo Repo: https://github.com/Etherlabs-dev/marketplace-leak-detector Curious: what’s the most common leakage pattern you’ve seen in marketplaces?
Hey everyone 👋 Just finished building a revenue leakage detector for marketplaces using n8n + Supabase. The problem: Marketplaces lose 5-15% of revenue to missing commissions, wrong rates, and expired discount codes. Most don't even know it's happening. What I built: • 5 n8n workflows (transaction monitoring, validation, daily reports) • Python logic for commission calculations • Supabase for data storage • Real-time Slack alerts Test results: Found $18K-47K in leakage across 3 marketplace scenarios in 30 days. Made it fully open source: 📰Learn how it works: https://open.substack.com/pub/chukwuaugustus/p/i-built-a-system-that-saves-marketplaces?r=5ggncn&utm_medium=ios 📦 GitHub: https://github.com/Etherlabs-dev/marketplace-leak-detector 📝 Technical breakdown: https://dev.to/etherlabsdev/i-built-a-revenue-leakage-detector-that-saves-marketplaces-up-to-50kyear-open-source-4cgo Cost to run: ~$50/month Time to implement: 2-4 hours Happy to answer questions if anyone wants to implement it 🙌
Hey everyone — I’m Ugo 👋 I’m a financial automation engineer and founder of a credit-infrastructure startup. I help B2B SaaS and fintech companies find and recover hidden revenue by automating things like failed-payment recovery, billing error detection, and contract vs billing checks (one recent system recovered $663k in 12 months). If you’re handling subscriptions/usage billing, credit operations and suspect revenue leakage or messy Stripe/Chargebee workflows, happy to swap notes or walk through my “revenue leakage checklist. Here’s my LinkedIn: https://www.linkedin.com/in/ugo-chukwu?utm_source=share_via&utm_content=profile&utm_medium=member_ios
