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NetBird – A P2P Network with WebRTC, WireGuard, SSO, and Zero Trust

Hacker News

NetBird – A P2P Network with WebRTC, WireGuard, SSO, and Zero Trust

Hey folks! We have just released NetBird. It is a big update so I decided to share it here and get your feedback :) NetBird creates an overlay peer-to-peer network connecting machines automatically regardless of their location (home, office, data center, container, cloud, or edge environments) unifying virtual private network management experience. It uses ICE protocol (WebRTC) to negotiate p2p connections and WireGuard (kernel module, when possible) to create a fast and encrypted tunnel between machines, falling back to relay (TURN) in case a p2p connection isn't possible. Pretty much just a client application installation is needed, the rest is done by the software! Sharing the project with you wasn't the only purpose of the post. I wanted to discuss the future and vision behind it. I'm pretty sure that in a few years, such seamless connectivity without the hassle of configuring firewalls, managing IPs, manual key rotations, centralized gateways, etc. will become a commodity and the majority won't be talking about traditional VPNs. But what we think is becoming more relevant is advanced network security. We've seen the rise of Zero Trust with its ZTNA solutions in the past years. There are big vendors like ZScaler or Palo Alto already offering advanced network security features that leverage ML or contextual access controls to allow/block access based on context, not just identity. Why can't this be open-source and built on top of universal connectivity that works anywhere? That is what we are setting as a mission for our project - to bring seamless connectivity and advanced network security together in a single open-source solution. What do you think about it? We welcome contributors and if your excited of what we are building, feel free to reach out to us! P.S. We've been previously know as Wiretrustee :)

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Hacker NewsStrong engagement from HN community · Strong signals: excited, just released, ide · Missing: https docs, exist, lua
76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: vpn · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, context, single · Missing: agents, macos, agent
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
30%30% 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
10%10% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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