Qpackt – web server that can serve two versions of your website

Hacker News

Hi guys, This is very initial release of something I've been working on for the last few months. Qpackt is an open source, Rust based, web server with several interesting features: 1. Basic analytics without tracking cookies. 2. Can serve multiple versions of your website. This can be used to A/B tests, track users' engagement coming from different sources or gently roll users to the new version. 3. Auto-fetch (and renew) SSL certificates. 4. GUI configuration (mostly ;) ) for the ease of use. It's missing a lot of features and it's not production ready yet. At this point I'm looking for opinions.

Visit product View on Hacker NewsFeb 16, 2024

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

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month, users · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, 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.

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

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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