Can We Trust It
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Python
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Java
C++
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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.
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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.
Based on our record, Python seems to be more popular. It has been mentiond 300 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.
> When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / 6 days ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 3 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 3 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 7 months ago
ScamAdviser - Check if a website is a scam website or a legit website. ScamAdviser helps identify if a webshop is fraudulent or infected with malware, or conducts phishing, fraud, scam and spam activities. Use our free trust and site review checker.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
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.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
ScamCheck - AI that tells you if a message, link, or image is a scam
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
