ZeroScam VS Diffyn

ZeroScam's answer

Most scam detection tools rely on URL blacklists or known malicious domains. ZeroScam analyzes the persuasion patterns within the message itself — urgency signals, impersonation cues, and authority mimicry — the tactics scammers use regardless of domain or sender.

It also explains why a message looks suspicious, helping users learn to recognize scams over time.

No account required and messages aren’t stored.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

ZeroScam's answer

ZeroScam is simple, private, and works with any message — no account, no installation, and no message retention.

Instead of relying on threat databases or infrastructure signals, ZeroScam looks at the message itself and explains what might make it suspicious.

The goal isn’t just detection, but helping people understand how scams work so they can recognize them more easily next time.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

ZeroScam's answer

ZeroScam is built using modern web technologies and a custom message analysis engine designed to identify common scam patterns while maintaining strict privacy principles.

Diffyn's answer:

React, Next.js, POSTGRESQL

ZeroScam's answer

ZeroScam is designed for everyday users who want a quick way to verify suspicious messages.

This includes people receiving unexpected texts or emails, families helping older relatives stay safe online, and small businesses that want to double-check unusual requests.

Anyone who has ever wondered “Is this message a scam?” is part of the audience.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

ZeroScam's answer

ZeroScam started after my own parents nearly fell for a scam. The message looked completely legitimate — correct language, personal details, even their bank’s logo. AI had made it convincing enough that they almost clicked.

That moment made something clear: modern scams no longer look suspicious. The warning signs people used to rely on are disappearing.

ZeroScam was built as a simple way to double-check suspicious messages before clicking, replying, or sending money — especially for the people we care about most.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

ZeroScam's answer

ZeroScam is currently used by individual users and early adopters.