You Can Open Suspicious Links Safely

Hacker News

I made a website to make able to open suspicious links safely, You can open the "suspicious link" by putting it on the website, and behind the scenes on the server, there is a VM (Virtual Machine) that contains Chromium, and an API that will receive your "suspicious link" and open it in a thread using Chromium. What result will I receive ?: You get the downloaded files that are downloaded when you open the link. Also, it takes a screenshot of the page behind that link to be able to see what it looks like, and it will give you the requests made by that link when it was opened. https://linksray.com/ Try it and tell me your feedback .

Visit product View on Hacker NewsSep 27, 2025

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5points

1comments

Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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