NetXDP – Kernel-Level DDoS Protection and Traffic Manager with eBPF/XDP

Hacker News

I built NetXDP, a lightweight, high-performance DDoS prevention and traffic management tool using eBPF/XDP. It dynamically drops bad traffic (malformed packets, port scans, floods) at the kernel/NIC level — before it hits your app. Features include: - Real-time packet inspection with dynamic greylist/blacklist - Custom rule manager with live server health dashboard - AI insights and detailed PDF reporting Would love feedback from the HN community. Demo & details: https://youtu.be/l9-WGb4JlFQ

Visit product View on Hacker NewsJul 21, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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