Fraudly.app's answer

Fraudly doesn't rely on a single blacklist or database. It combines reputation data, security signals, reviews, domain intelligence, and scam indicators to help users identify suspicious websites quickly and confidently.

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

Fraudly.app's answer

Fraudly goes beyond basic URL checks by combining reputation data, reviews, security signals, and scam indicators into one clear trust score. We focus on simplicity, transparency, and helping everyday users stay safe online.

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

Fraudly.app's answer

Fraudly is built for anyone who wants to know whether a website can be trusted. Whether you're shopping online, clicking a link from an email, verifying a new website, or helping family members stay safe online, Fraudly provides a simple way to assess trust before you act.

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

Fraudly.app's answer

Fraudly started with a simple observation: scam websites are becoming increasingly difficult to recognize.

Every day, people receive messages, advertisements, and links that appear legitimate at first glance. Modern scam websites often look professional, use HTTPS, display reviews, and imitate trusted brands, making it difficult for the average person to know who to trust online.

As someone who has spent years working with technology and helping others solve problems, I wanted to create a tool that makes online safety easier and more accessible. Instead of expecting users to understand complex security indicators, Fraudly brings together multiple trust signals—such as reputation data, security indicators, reviews, domain information, and scam intelligence—and presents them in a simple, easy-to-understand format.

The mission behind Fraudly is straightforward: help people make safer decisions online before they click, buy, or share personal information.

What started as a simple website checker has grown into a broader vision of improving online scam awareness through trust scoring, scam education, security insights, and tools that help both individuals and businesses stay safer online.

See it. Check it. Trust it.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

Fraudly.app's answer

Fraudly is built using a modern web and mobile technology stack designed for performance, scalability, and reliability.

Core technologies include:

• Next.js and React for the web application
• TypeScript for type-safe development
• PostgreSQL for data storage
• Prisma as the database ORM
• Vercel for hosting and deployment
• SwiftUI for the native iOS application
• AI-assisted development to accelerate product innovation and iteration

Fraudly also integrates multiple external reputation, security, and scam-intelligence sources to analyze websites and provide trust and risk insights to users in real time.

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.

Fraudly.app's answer

Fraudly is currently focused on individual consumers and early adopters who use the platform to verify websites, online stores, and suspicious links before interacting with them.

We are also expanding into small business scam-awareness and employee education solutions, helping organizations improve their awareness of phishing, online fraud, and social engineering risks.

As an early-stage product, our focus is on building a trusted platform, listening to user feedback, and continuously improving the service rather than serving large enterprise customers.