Open Graph images through web page screenshots at scale

Hacker News

Whether you're a website owner or a web developer, og:screen simplifies the creation of preview images for various platforms like Facebook, Twitter, LinkedIn, and more. Features: Seamless Integration: Drop a link, and you're set. No tricky API interactions! Dynamic Screenshots: Redesigned your website? Automatically get fresh screenshots! Wide Platform Support: Works perfectly with Facebook, Twitter, LinkedIn, Slack, Discord, and more. DIY: Just some basic web dev know-how and you're good to go. Hosting Included: Say goodbye to storage woes. We've got you covered! We're also offering a special 50% discount on the first 3 months with promo code HN2023 until end of August!

Visit product View on Hacker NewsAug 9, 2023

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Did not reach leaderboard

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

93%93% 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: slack, code, open · Missing: mac, agents, macos

91%91% 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.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

32%32% 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

14%14% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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