Affonso.io's answer

Affonso is purpose-built for SaaS companies, offering a uniquely streamlined approach to affiliate program management. Our platform stands out with its ultra-lightweight integration (just one JavaScript snippet), native connections to major SaaS payment platforms, and the ability to manage multiple affiliate programs from a single dashboard. Whether you're running one program or ten, Affonso scales effortlessly with your business while keeping operations simple and efficient.

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.

Affonso.io's answer

Affonso is the clear choice for SaaS businesses because we've optimized every aspect of affiliate management for your success:

• Lightning-fast setup with minimal technical requirements
• Native integrations with SaaS-focused payment platforms (Stripe, Paddle)
• Unlimited affiliates, referrals, and programs at your fingertips
• Comprehensive payment options including PayPal, Payoneer, Wise, Crypto, and traditional bank transfers
• Centralized management for multiple programs—perfect for growing SaaS portfolios
• Advanced commission structures designed for both subscription and one-time payments

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.

Affonso.io's answer

Affonso is specifically designed for three types of businesses:

• SaaS Companies: Perfect for teams looking to accelerate growth with a low-maintenance affiliate program that just works
• Multi-Product Businesses: Ideal for companies managing multiple products who need a unified affiliate management solution
• Productized Services: Excellent for service-based businesses ready to scale through affiliate marketing

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.

Affonso.io's answer

You can launch your affiliate program in minutes. Here's how:

1. Add our lightweight JavaScript snippet to your website
2. Connect your payment platform
3. Set your commission structure and terms
4. Start inviting affiliates

Your affiliate program will be up and running with full tracking, automated payments, and a professional affiliate portal—all managed from one intuitive dashboard.

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.

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.