SafeBrowz's answer

SafeBrowz started after watching too many people — friends, family, strangers on Twitter — lose money to scams that were obvious red flags in hindsight. Fake login pages. Drained wallets. ClickFix commands pasted into PowerShell.

Traditional antivirus missed almost all of it because modern scams happen inside the browser, not on disk. Browser safety tools like Avira and Malwarebytes only caught English-language scams from well-known brands, leaving most of the world exposed.

The goal was simple: build one extension that catches scams across any brand, any language, including Web3 — and keep it affordable enough that a regular person would actually install 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.

SafeBrowz's answer

SafeBrowz combines three detection layers in one extension:

• Local pattern matching catches known scam patterns instantly, offline, with zero latency
• Server-side URL reputation checks against a live threat database updated continuously
• AI content analysis reads the actual page and identifies brand impersonation across 420+ brands in 100+ languages

Most competitors rely on blocklists that lag 24-48 hours behind new scams. SafeBrowz's AI layer catches brand-new phishing sites the moment they go live, in any language, even if the domain has never been seen before.

It also specifically targets Web3 threats — wallet drainer scripts, fake Ledger pages, ClickFix pastejacking attacks — that traditional antivirus and browser safety tools miss entirely.

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.

SafeBrowz's answer

• Broader coverage — 420+ brands tracked vs competitors' 20-50
  • Multi-language — works in 100+ languages; most competitors are English-only
  • Web3-aware — actively blocks crypto wallet drainers, fake Ledger sites, and signature phishing; tools like Avira and Malwarebytes don't
  • No bloat — single extension, under 2MB, no companion app, no VPN upsell, no "deals while you shop" ads
  • Fair pricing — $14.99/year for 3 devices. Most competitors charge $30-60/year for one device
  • Privacy-first — we only send the URL you visit, not your history, cookies, or identity

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.

SafeBrowz's answer

SafeBrowz is built for three overlapping audiences:

1. Crypto users — anyone holding a wallet (MetaMask, Phantom, Ledger) who needs protection against wallet drainers, fake token sites, and seed phrase phishing
2. Everyday browsers — people who get phishing emails impersonating Microsoft, banks, or couriers and want a safety net before clicking
3. Non-English speakers — users who browse in Hindi, Spanish, Portuguese, Arabic, or any of 100+ languages that most security tools ignore

Typical user: someone who has been scammed or almost scammed once, and doesn't want it to happen again.

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.

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.