Multi-hop WireGuard chaining, speed-tested and API-controlled

Hacker News

Hey HN, I built VPN-Chainer to make multi-hop WireGuard setups a bit easier for the average VPN user. It can chain multiple WireGuard endpoints together, and can run speed tests with `--fastest`, installs as a systemd service (hooks included), and lets you rotate tunnels via a lightweight API. Imagine in the movies where they say they connection is bouncing around the world. Similar but not exactly like that. Grab it from the repo or install via the systemd-ready installer, no signup, landing pages, or cart required. Stack is shell (pre/post hooks) + Python + WireGuard. It’s early-stage, so hook integrations and rotation policies could use polish, your feedback would help steer improvements. Thanks, and take it easy!

Visit product View on Hacker NewsAug 25, 2025

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Actual performance

2points

Did not reach leaderboard

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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