Furwise's answer

• iOS: SwiftUI
  • Backend: FastAPI on Google Cloud Run
  • Database & Auth: Supabase (Postgres)
  • AI: Google Gemini via Vertex AI
  • Subscriptions: RevenueCat + Apple StoreKit

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.

Furwise's answer

Three things working together: real-time multi-caregiver sharing, photo-based mood, pain, and stool checks, and per-cat vaccine and medication schedules. None of those is rare on its own. What's different is how they fit. Easy logging means your cat's data actually accumulates in one place, and once it's accumulated, the analysis has something real to work with. Most cat apps make logging easy and stop there.

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.

Furwise's answer

Most cat health apps stop at logging. You enter feeding, weight, stool, and the data just sits there. Furwise treats logs as fuel, not the finished product. Every entry feeds the analysis: weekly patterns, alerts when something's off, comparisons to vet guidelines. The better the analysis, the more your family wants to log. That's the loop.

What makes the loop work: multi-caregiver sharing so entries actually get made when you have three cats and two people, photo checks for mood, pain, and stool that take five seconds, and vaccine and medication schedules tuned per cat instead of pulled from a generic template. The longer you use Furwise, the more it knows your cat.

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.

Furwise's answer

Cat owners in multi-cat households, especially families or couples sharing daily care. Owners of senior cats, cats with chronic conditions, or anyone tired of guessing what to tell the vet.

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.

Furwise's answer

Two years ago I adopted my first cat. Like most first-time owners, I had endless questions: which vaccines, is this food toxic, is this stool normal, why did he just vomit?

Six months ago he developed a urinary issue. We rushed to the ER late at night, came home, and couldn't sleep. My family and I took shifts watching his litter box. The hardest part wasn't the work. It was that information lived in different people's heads and phones, and when the vet asked when it started, we couldn't piece it together.

That's when I started building Furwise. I'd been an engineer for years and knew what a good tool looks like. I wanted to build one for our cat, and for every owner trying to catch problems early. The photo-based mood, pain, and stool checks came out of caring for a sick cat. We wanted to share them with anyone going through the same thing.

Our vision: take care of every cat, together with the people who love them.

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.