Underpriced.App's answer

Underpriced.App is built for one thing: helping you spot underpriced items fast and confidently. Instead of guessing from a single listing photo or a seller’s description, it focuses on market-backed signals (comps, pricing patterns, and profit context) so you can decide “buy / pass / offer” in seconds. It’s designed around real reseller workflows—Facebook Marketplace and local deals, quick checks on the go, and repeatable decision-making—without turning it into a bloated spreadsheet app.

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.

Underpriced.App's answer

Most alternatives either (1) give generic “estimated value” numbers with little context, or (2) require a lot of manual searching and interpretation. Underpriced.App is streamlined for speed and clarity: it’s meant to reduce hesitation and prevent overpaying by surfacing the right signals at the right time, then turning those into an actionable recommendation. It’s also built to scale with you—from casual thrifters doing occasional flips to serious resellers who need consistent, repeatable results.

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.

Underpriced.App's answer

Underpriced.App is for deal-hunters and resellers who want to make smarter buying decisions: people who browse Facebook Marketplace, thrift stores, garage sales, liquidation, and retail arbitrage opportunities and need a quick way to validate price and profit potential. The core audience is practical and time-constrained—buyers who don’t want to do 10 tabs of research for every item, but still want decisions backed by real market behavior.

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.

Underpriced.App's answer

Underpriced.App comes from a simple pain point: flipping and deal-finding isn’t hard because there are no deals—it’s hard because it’s easy to overpay, miss red flags, or waste time doing research that doesn’t translate into a clear decision. The app was created to make that moment of uncertainty disappear by turning “Is this actually a deal?” into a quick, repeatable process grounded in comps and market reality.

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.

Underpriced.App's answer

Underpriced.App is a modern web-first product with mobile support: React + Vite for the UI, Tailwind CSS for styling, Capacitor for mobile app packaging, Firebase (Auth + Firestore) for user/accounts and data, and Vercel serverless functions for API endpoints and integrations (like billing and webhooks). It’s optimized for fast iteration and reliable deployment while keeping performance strong.

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.

Underpriced.App's answer

Full-time resellers running consistent daily sourcing Part-time flippers who source on weekends and evenings Facebook Marketplace buyers trying to avoid overpaying Thrift and garage-sale shoppers who want quick price validation Retail arbitrage beginners learning what’s actually profitable Small resale operations scaling from “side hustle” to steady revenue