Croppy – Perfect images for your websites from your customers

Hacker News

Right now, we are testing a new method for website image preparation. This is aimed at people and companies who build websites for clients and want to ensure that images are always perfectly sized and compressed. More information can be found on the homepage. The following are the recommended steps: - Make an entry for the website on the croppy admin - Allocate upload credentials, predefine several picture resolutions and compression formats - Send the link to your clients, allowing them to crop and upload images directly onto the website As we are in beta, we look forward to all feedback possible. On the website, you may experiment with the demo croppers and different set resolutions. If you prefer using it with your wordpress site or ftp server, you need to create an account.

Visit product View on Hacker NewsDec 7, 2023

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best fitHighest predicted score across all platforms for this description.

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

38%38% 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

28%28% 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

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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