CandyCornDB

We’ve now scored 350,000+ IPs through CandycornDB. After combing through that much traffic, some patterns jump out—and others catch even experienced teams off guard. Let’s talk about what we’ve learned so far 🧵

You can check out the full technical documentation and our VPC-native deployment guide here: sentinelgateway.ai

We spent the last few months building Sentinel Gateway because we were tired of the "Cloud Proxy" tax. Most AI gateways force your sensitive data through their servers just to give you basic logging and routing. That shouldn't be the trade-off for enterprise teams.

@RTradersEdge That means a lot! Appreciate you saying that. We built this specifically to catch the gaps left by traditional IP reputation tools, so it’s awesome to hear it’s working in the real world. Let us know if there’s anything we can improve.

@CandyCornDB We’ve been using CandycornDB in our fraud detection stack for a few weeks now and it’s already helped us catch traffic patterns we completely missed with standard IP reputation APIs. The subnet behavior stuff is legit. Highly recommend it.

We’ve now scored 350,000+ IPs through CandycornDB. After combing through that much traffic, some patterns jump out—and others catch even experienced teams off guard. Let’s talk about what we’ve learned so far 🧵

Want to learn how we detect risky traffic in real time—without relying on outdated blocklists? We just broke it all down: 🔗 candycorndb.com/blog/350k-ip-i…

By clustering traffic at the subnet level and observing behavior over time, we can detect high-risk segments before they show up on public feeds. This is how we flag things like Tor relay migrations or VPS farms switching abuse tactics.

We just crossed 350,000 IPs scored for fraud risk at CandycornDB. Some patterns are obvious. Others genuinely surprised us. From ASN abuse clusters to residential IP hijacking, here’s what we’ve learned so far: 🔗 candycorndb.com/blog/350k-ip-i… #fraud #netsec #cybersecurity

Tired of sketchy IPs slipping through the cracks? CandycornDB flags VPNs, bots, Tor nodes, and high-risk ASNs in real time — no stale blocklists, no guesswork. Built for devs. Ready to scale. 👉 candycorndb.com #cybersecurity #fraudprevention #API

Hot take: IP geolocation ≠ IP intelligence. Knowing where traffic comes from is useless if you don’t know whether to trust it. This is why we built CandycornDB. Real-time IP risk scoring, no stale blocklists, no noise. 👉 candycorndb.com #CyberSecurity #DevTools #FraudPrevention

Static IP blocklists miss the big picture. We’ve seen entire subnets reused for fraud across VPNs, bots, and fake signups. That’s why we score risk based on: • ASN reputation • Subnet behavior • Traffic velocity • Proxy / Tor fingerprints Modern IP reputation needs context. 🧠 We built CandycornDB to solve that. 👇 See the future of threat intelligence: 🔗 candycorndb.com #fraud #api #cybersecurity

@samm_duc Totally agree! Speed is nothing without trust. We’ve been focused on building a strong data pipeline + internal tooling first so the core stays clean as we scale. Appreciate you following along 🙌

@CandyCornDB @CandyCornDB, building fast is exciting. how do you ensure the quality doesn't lag behind? let’s keep innovating together.

We’re building CandycornDB in public — a developer-first IP intelligence API to help you detect fraud, bots, and bad actors in real time. #buildinpublic #devtools #infosec 👇

We’re still early and building fast. If you’re working on security, fraud detection, or infrastructure — we’d love your feedback. Try it → candycorndb.com #buildinpublic #api #infosec #indiehacker

👨‍💻 Built for devs: • Free tier (no credit card) • API key instantly • Clear docs • Curl examples & Postman collection coming soon Start scoring IPs in under 60 seconds.