
Can We Trust It
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Can We Trust It? is a free, AI-powered scam and fraud detector built to help everyday people check whether a message is safe. Paste any suspicious email, text, link, job offer, or social post โ or upload a screenshot โ and it analyses the content for known scam patterns in seconds, explaining the warning signs in plain language and what to do next. It flags high-risk patterns rather than claiming certainty, and works in 20 languages with full right-to-left support. The site also hosts 50+ in-depth guides on specific scams (romance scams, fake delivery texts, crypto fraud, and more). No account required, privacy-first, free to try, with paid plans from $7/month for higher limits.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Can We Trust It
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Can We Trust It's answer
It gives an honest, probabilistic read โ it flags high-risk patterns and explains the reasoning in plain language, rather than claiming certainty that something "is" a scam. There's no account, no upsell, and no security-suite bloat: you paste a suspicious email, text, link, or screenshot and get a clear risk check in seconds. It works in 20 languages with full right-to-left support, and it's backed by 50+ in-depth guides on specific scams.
Can We Trust It's answer
It started when the founder's mother nearly fell for a fake delivery text. That moment โ seeing how convincing modern scams have become, and how little quick help exists for someone in the moment of doubt โ was the motivation. Can We Trust It was built solo as both a product and a personal mission: an honest, no-account tool that gives people a fast, plain-language read on whether a message is safe.
Can We Trust It's answer
Most scam-checkers are free loss-leaders that require an account and funnel you toward a paid security suite. Can We Trust It does one thing well: check a message, fast, free, no sign-up. The verdicts are deliberately probabilistic and transparent about their reasoning, it supports 20 languages including right-to-left scripts, and it's privacy-first โ no account, and message content isn't stored. It's built for the moment you've just received something suspicious and want a quick, honest second opinion.
Can We Trust It's answer
Everyday people at the moment they receive something suspicious โ a text, email, job offer, listing, or social message they're unsure about. It's especially for the people scammers target most, including those less familiar with the latest tactics. The 20-language, right-to-left support also makes it useful for non-English speakers, who are often underserved by English-only tools.
Can We Trust It's answer
Next.js (App Router) with TypeScript and Tailwind CSS, deployed on Vercel. Scam analysis is powered by large language models via the Anthropic Claude API, including image analysis for screenshot uploads. It uses Upstash Redis for rate limiting, Stripe for payments, and next-intl for 20-language internationalisation with right-to-left support.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 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.
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 14 days ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago
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