GetEles, a browser extension that helps you easily understand webpages

Hacker News

Hey HN, I used to be a frontend engineer, but for the past two years, I've been working as an independent developer. I'm building tools to solve problems I encounter in my daily workflow. Every day, I use F12/devtools to debug web pages. Honestly, I often just want to see how an element is written or which styles are affecting my layout. In 2024, I upgraded to a new laptop with a smaller screen (14") compared to my old one. Now, whenever I press F12, the webpage gets squeezed, sometimes even switching to mobile view. This frustration inspired me to create GetEles, named after JavaScript functions like getElementsBy*. What can GetEles do? 1. Quickly get website info: title, description, color scheme, resources, etc. 2. Quickly inspect element details: classes, inline styles. 3. Quickly locate elements (I've traversed the DOM for you!). 4. Quickly convert element styles to Tailwind CSS. 5. Precisely measure the distance between any two elements. 6. Quickly export screenshots of elements or the entire page. 7. Get page load times and performance info... GetEles is free to use, though some advanced features require a subscription. Even so, I highly recommend trying out the experience on the official website first – it includes over 90% of the functionality. Head over to the website and click "Try it out": https://geteles.com

Visit product View on Hacker NewsJul 30, 2025

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

92%92% 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

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 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

43%43% 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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

12%12% 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.

Incorrect prediction on native model

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