WireHole combines WireGuard, Pi-hole, and Unbound with an easy UI

Hacker News

WireHole offers a unified docker-compose project that integrates WireGuard, PiHole, and Unbound, complete with a user interface. This solution is designed to empower users to swiftly set up and manage either a full or split-tunnel WireGuard VPN. It features ad-blocking capabilities through PiHole and enhanced DNS caching and privacy options via Unbound. The intuitive UI makes deployment and ongoing management straightforward, providing a comprehensive VPN solution with added privacy features.

Visit product View on Hacker NewsOct 27, 2023

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Actual performance

298points

139comments

Made the leaderboard

Launch Intel predictions

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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, dock · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: intuitive, interface, users · Missing: plus, platform, reviews

66%66% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

58%58% 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 · Strong signals: users · Missing: mobile apps, ios, personal

48%48% 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

9%9% 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.

Correct prediction on native model

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