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BillionCore
Score any card BIN for fraud risk in under 1ms
Score any card BIN for fraud risk and rebill value, and get an instant approve / decline / push decision — with the reasons behind it. Sub-millisecond API for payment, fraud and affiliate teams.
Top comment
Hey Product Hunt! 👋 I'm Mykyta, the founder of BillionCore. Excited to finally share this here. The backstory: I built this after getting frustrated with existing BIN lookup solutions — slow (50-200ms), expensive, and they return raw issuer data you still have to interpret yourself. That's not a decision, that's homework. What BillionCore actually returns now: One API call with your profile, vertical and price gives you back: A decision — FORCE / KEEP / AVOID for affiliates, APPROVE / REVIEW / DECLINE for fraud teams Full economics per BIN: projected rebills, LTV per approved, ROI%, EV per approved, breakeven payout, profit grade Benchmarks: where this BIN sits vs the universe on first rebill, chargeback rate and risk score Routing intelligence: 3DS recommendation, acquirer/MID routing notes All of this in under 1ms. BIN-only — never touches the full card number. Example: BIN 453998, nutra vertical, $49.99 price → FORCE, 81% approval likelihood, 1.38 projected rebills, $67.28 LTV, 236% ROI. That's a buying decision, not a data point. Who it's for: affiliate managers, media buyers, fraud and payments teams who are tired of guessing which cards to trust. Live demo on the homepage — no signup, try it right now. Happy to answer anything about the tech, the data model or the roadmap. What does your current BIN workflow look like? 🚀
About BillionCore on Product Hunt
“Score any card BIN for fraud risk in under 1ms”
BillionCore was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #101 on the daily leaderboard. Score any card BIN for fraud risk and rebill value, and get an instant approve / decline / push decision — with the reasons behind it. Sub-millisecond API for payment, fraud and affiliate teams.
On the analytics side, BillionCore competes within API, Fintech and Payments — topics that collectively have 158.7k followers on Product Hunt. The dashboard above tracks how BillionCore performed against the three products that launched closest to it on the same day.
Who hunted BillionCore?
BillionCore was hunted by Mykyta Tretynko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of BillionCore including community comment highlights and product details, visit the product overview.