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Soft-launching VeilScan: proof-based security reports
Hey everyone, I m soft-launching VeilScan today.
It s a proof-based external vulnerability scanner for startups, SaaS teams, fintech products, and lean technical teams.
The problem I m trying to solve is simple:
Most small teams ship fast, but they don t always know what their external attack surface looks like. Traditional scanners often return long noisy lists, but not enough clear proof, context, or business impact.
Hey, I’m Rhythm, building VeilScan and CodeCrypse
Hey everyone, I m Rhythm, a full-stack developer and founder of CodeCrypse IT Solutions.
I mainly build web apps, mobile apps, automation tools, AI products, and SaaS platforms. Recently, I ve been focused on cybersecurity and startup infrastructure, especially how fast-moving teams can ship quickly without leaving obvious security gaps behind.
Right now, I m building VeilScan, a proof-based external vulnerability scanner for startups, SaaS teams, fintech products, and lean technical teams.
The idea came from a simple problem I kept seeing: a lot of small teams build and launch fast, especially with AI tools, but they don t always know what their external attack surface looks like. Traditional scanners can also be noisy, so I wanted to build something that focuses more on verified findings, real evidence, business impact, and clear reports.
I reviewed 15+ vibe-coded fintech startups and found the same security gaps
Over the last few weeks, I reviewed more than 15 vibe-coded fintech and startup-style web apps.
The surprising part was this:
Even when teams were using AI coding tools, security agents, framework defaults, and modern deployment platforms, I still kept finding serious external security gaps.
Not always one-click hack type issues, but the kind of problems that slowly stack up into real risk:
