Ta

Take super high DPI screenshots of any part of any website

Hacker News

Take super high DPI screenshots of any part of any website

Hi HN, I found I spent alot of time, zooming in and out of web pages to get high resolution screenshots for documentation for the apps and websites I made, so I made a Chrome Extension that makes is super simple. Just launch the extension on any website, choose from either 5 times zoom, 10 times zoom or a fixed width or height and then just drag a box around what you want to capture and you'll then get a super high dpi screenshot. Let me know if you find it useful or have any questions. Also, please let me know if you find any sites where the screenshots aren't right, some sites do funny things with CSS which throws the extension off.

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1points
2comments
Did not reach leaderboard

Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos
69%69% 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
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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
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.

Incorrect prediction on native model

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