ContractRadar.io's answer

ContractRadar combines federal, state, and local procurement sources in one place with AI-powered semantic matching at a price small businesses can afford. It monitors 49+ sources including SAM.gov, the SBA subcontracting portal, and state/local portals. AI reads the full text of every posting and scores compatibility against your business profile, not just keywords or NAICS codes. It also pulls past award intelligence from USASpending.gov for every match, and the system learns from your feedback over time.

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.

ContractRadar.io's answer

Simplicity, coverage, and price. Most government contract tools are built for enterprises with complex dashboards, required training, and $400+/month pricing. ContractRadar takes five minutes to set up, costs $30/month, and has a permanent free tier with 5 searches/day. It's also one of the few tools monitoring federal, state, and local sources together. Cancel in two clicks, no forms or phone calls.

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.

ContractRadar.io's answer

Small businesses that want to sell to the government but don't have a dedicated team to monitor procurement portals. This includes businesses with federal set-aside certifications (8(a), HUBZone, WOSB, SDVOSB), businesses new to government contracting, and firms looking for subcontracting opportunities. Designed for people without government contracting experience.

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.

ContractRadar.io's answer

Large enterprises have full-time teams hunting for government contracts. Small businesses don't, and existing tools are built for enterprises with enterprise pricing to match. ContractRadar was built to level the playing field: the same opportunity discovery capabilities without the complexity or cost. No 30-tab dashboards, no rule builders. Tell us what your business does, and we handle the rest.

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.

ContractRadar.io's answer

Next.js/React and TypeScript on the frontend, ASP.NET Core (C#) on the backend, PostgreSQL with pgvector for vector search, OpenAI for semantic embeddings, Anthropic for NAICS enrichment, AWS Cognito for auth, Stripe for payments, and Resend for email.

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.