Don't get slashdotted when your link hits the HN front page

Hacker News

I'm sick and tired of clicking interesting links on the HN front page, only to get a spinning loader and waiting 10+ seconds for nothing. I'm not going to take the time to find the Google cache for your site, so if you want me to read what you wrote, please consider doing at least the bare minimum to keep your site running when I visit: 1. Use a static page cache / serve static HTML. Either use something like Varnish, or if you don't want to configure it or you're on a shared host, use one of the following extensions/techniques to statically cache pages: - Wordpress: http://wordpress.org/plugins/wp-super-cache/ - Drupal: https://drupal.org/project/boost - Joomla: http://extensions.joomla.org/extensions/core-enhancements/performance/cache/13155 - Rails: http://guides.rubyonrails.org/caching_with_rails.html Even better, use something like Jekyll (http://jekyllrb.com/) for static pages by default. There are many good static site generators that will let your site stay nimble even with hundreds of requests/second on a shared host! 2. For Apache, set KeepAliveTimeout to something sane, like < 5 seconds. You don't all your active connections clogged up while 50+ people are simultaneously visiting. 3. Don't add a bunch of huge images—unless they're hosted on a CDN/other domain, and/or you have the server bandwidth and resources to serve such images. It's great that you want to control your own content on your own domain/host, but please try to keep up with the moderate levels of traffic the front page of HN throws at your server!

Visit product View on Hacker NewsAug 25, 2013

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

90%90% 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: google · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

72%72% 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: host · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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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