NativeBase
React Native
React Native Desktop
React Native UI Kitten
React Native Paper by Callstack
React Native Elements
Flutter
Shoutem
ZeroScam
Scam Spotter by Google
Norton Genie
Scam AI
scam
Scam Message Analyzer
StopScam.ai
No Scam
ZeroScam is a simple tool that helps people check suspicious messages before they click, reply, or send money.
Paste a text message, email, link, or screenshot and ZeroScam analyzes it instantly for common scam patterns such as impersonation, fake invoices, romance scams, investment fraud, and phishing attempts.
Instead of relying only on blacklists or known malicious domains, ZeroScam analyzes the structure and persuasion patterns commonly used in scams โ including urgency signals, impersonation cues, and suspicious links.
The goal is not only to flag potential scams but also to explain why a message may be suspicious. This helps users learn to recognize scams over time and avoid future fraud attempts.
ZeroScam is designed for everyday situations: - strange text messages - unexpected payment requests - suspicious emails - unfamiliar links - screenshots of messages received on messaging apps
Privacy is a core design principle. No account is required, messages are not stored.
Whether you are verifying a strange text message, checking a suspicious email, or helping a family member avoid scams, ZeroScam provides a fast and simple way to double-check before taking action.
NativeBase ZeroScamZeroScam's answer:
Most scam detection tools rely on URL blacklists or known malicious domains. ZeroScam analyzes the persuasion patterns within the message itself โ urgency signals, impersonation cues, and authority mimicry โ 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 arenโt stored.
ZeroScam's answer:
ZeroScam is simple, private, and works with any message โ 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 isnโt just detection, but helping people understand how scams work so they can recognize them more easily next time.
ZeroScam's answer:
ZeroScam started after my own parents nearly fell for a scam. The message looked completely legitimate โ correct language, personal details, even their bankโs 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 โ especially for the people we care about most.
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 โIs this message a scam?โ is part of the audience.
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.
ZeroScam's answer:
ZeroScam is currently used by individual users and early adopters.
Based on our record, NativeBase seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Gluestack, like any other customizable UI library, is built to make styling less cumbersome. It comprises a set of themed and unstyled components easily integrated across different platforms and devices. Originally, Gluestack was a part of NativeBase, a component library for both React and React Native. With performance and maintainability in mind, NativeBase was split into two parts, focusing on a universal... - Source: dev.to / over 2 years ago
Just like the other libraries mentioned in this article, Gluestack is another unstyled component library. Originally a part of NativeBase, the developer team created this library to prevent bloat and enhance maintainability of the project. - Source: dev.to / almost 3 years ago
KumaUI : Another relatively new contender, Kuma uses zero runtime CSS-in-JS to create headless UI components which allows a lot of flexibility. It was heavily inspired by other zero runtime CSS-in-JS solutions such as PandaCSS, Vanilla Extract, and Linaria, as well as by Styled System, ChakraUI, and Native Base. ### ๏ปฟVue. - Source: dev.to / almost 3 years ago
NativeBase is a collection of essential cross-platform React Native components. The components are built with React Native combined with some JavaScript functionality with customizable properties. NativeBase is fully open-source and has 18,000+ stars on GitHub. - Source: dev.to / over 3 years ago
CSS-based UI libs don't make sense on mobile; your new options include NativeBase, React Native Elements and others). Some web-based UI libs do have RN siblings though - such as React Native Material and React Native Paper (for Material-UI), and tailwind-rn (for Tailwind). This just means new decisions to make, some learning, and new paradigms for how to use the new libs. - Source: dev.to / over 3 years ago
React Native - A framework for building native apps with React
Scam Spotter by Google - With Google's help, we are spotting the most common patterns used by scammers and offering practical advice to help you stop them in their tracks.
React Native Desktop - Build OS X desktop apps using React Native
Norton Genie - Genie is an industry leading AI-powered scam detection tool that will scan and review text messages, emails, websites, and social posts trying to trick you.
React Native UI Kitten - Customizable and reusable react-native component kit
Scam AI - Spot scams before they spot you