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wasque – Lightweight Cloudlare Warp Proxy Container for Linux

Hacker News

wasque – Lightweight Cloudlare Warp Proxy Container for Linux

Lightweight, unofficial Docker container for the official Cloudflare WARP Linux CLI client. Easily expose a SOCKS5 proxy from within a container—no elevated privileges required! My previous project unofficial WARP client, usque ( https://news.ycombinator.com/item?id=43418120 ) got great reception so far and Cloudflare recently published HTTP/2 fallback support on their MASQUE protocol. I needed a way to run their official clients in a reproducible, lightweight fashion so that's when wasque was born. It's a really simple docker container that ships their official client and exposes it as a SOCKS5 proxy. PS: For now the HTTP/2 fallback seems broken for me in their official Linux and Android clients, I already opened a ticket ( https://community.cloudflare.com/t/http-2-fallback-doesnt-wo... ). But regular HTTP/3 MASQUE works well.

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Actual performance

4points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% 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
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: dock, new, open · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
38%38% 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
21%21% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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