MeldSecurity – Run Popular Security Tools in the Browser (Free)

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Hi all! A few things of note -- I want this to remain a freemium service, where a reasonable amount of scans / capabilities are free per month etc. This is a passion project for helping people get access to security tooling that don't have the time/budget/etc to manage their own infrastructure. At the same time, I am paying a lot out of pocket to make this work, so I have added a credit system for users to support the cause at large. I don't have much $$$ for bounties, but I am willing to pay what I can. If you find a security issue on the site, please report it via the contact info on https://meldsecurity.com/security.txt I've got a roadmap of security tools to add to the toolbox, such as Dependency Scanners (E.g Trivy), Log Analyzers, secrets scanners, etc. If there's something you'd like added to the toolbox, let me know! Also if you need more credits after the sign up bonus, just open a support case and ask for it and I will add some to your account! (obviously purchasing a credits package is greatly appreciated ;)) Anyways, any feedback would be greatly appreciated!

Visit product View on Hacker NewsSep 17, 2025

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3points

Did not reach leaderboard

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

82%82% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source

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.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, open · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos

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

TrustMRRLess likely to generate early MRR · Strong signals: ai · Missing: api, 000, profitable

21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses

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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