I ranked news websites by speed

Hacker News

I've been working on building "the fastest news website" for a few reasons: 1. I got tired of waiting for news websites to load, so I made a text-only news website that only has major news headlines. 2. I wanted to demonstrate to the world that if you want to build something really fast on the web, you can do it without loads of JavaScript. 3. I wanted to show that you can design something that looks good without having tons of images, etc. I put together the speed page at https://legiblenews.com/speed to hold my website to be more accountable for speed, but it's also interesting to see how fast other news websites are (or in most cases, are not). Some feedback I'm interested in receiving: 1. What's your take both on the speed ranking methodology for Legible News? 2. Are my descriptions of the metrics for a non-web developer reasonable? Example of that at https://legiblenews.com/speed/websites/associated-press , and if you click through the links on that table, you see a description like https://legiblenews.com/speed/audits/cumulative-layout-shift Sorry ahead of time, but I can't fit all news websites on the speed report. I had to target general news websites, not ones for specific niches like HN for Tech. If there's something you think that's missing please post it, but I can't promise that I'll add it. If you like it, please consider subscribing! Thanks!

Visit product View on Hacker NewsJun 28, 2022

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

79%79% 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: new · Missing: mac, agents, macos

63%63% 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

57%57% 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

48%48% 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

46%46% 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

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

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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