StartupsAcquisitions.com's answer

I am beyond excited to share this latest startup built in public with you. I have personally spent a few years building different startups in public. It's not been an easy journey. Building, and shipping 🚀 startups really requires patience and consistency. Not to say I am lucky, but I have experienced 4 StartUp exits during my #buildInPublic Journey.

As an Indie, I have always been a Motivated Maker that Builds to Grow to Sell. Flipping businesses and StartUps has been an interesting venture with its own ups and downs. All from receiving offers, rejection, cancellations et al. Makers looking to exit face all kinds of challenges, whether you are in Pre-revenue or Post-Revenue phase.

I believe the Build In Public Community consists of Makers who can entirely build a StartUp product, but cannot afford to Scale, and Grow that Product. What happens? The StartUp becomes a 'Dead Project' despite spending thousands of Hours Building it.

Hence the existence of: StartUps Acquisitions - the Ultimate solution that will help Makers with quality bootstrapped and viable products to be able to exit fully or partially to potential Investors. Whether your Startup is earning a $0 MRR - $10K MRR, you can be sure of validating something out of it.

The existing Acquisition marketplaces are setting the pace too high for Solo Founders who are looking to exit and have not hit a certain required limit of MRR or TTM. We are solving that through StartUps Acquisitions.

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.

StartupsAcquisitions.com's answer

API, Low-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.

StartupsAcquisitions.com's answer

I believe the Build In Public Community consists of Makers who can entirely build a StartUp product, but cannot afford to Scale, and Grow that Product. What happens? The StartUp becomes a 'Dead Project' despite spending thousands of Hours Building it.

Hence the existence of: StartUps Acquisitions - the Ultimate solution that will help Makers with quality bootstrapped and viable products to be able to exit fully or partially to potential Investors. Whether your Startup is earning a $0 MRR - $10K MRR, you can be sure of validating something out of it.

The existing Acquisition marketplaces are setting the pace too high for Solo Founders who are looking to exit and have not hit a certain required limit of MRR or TTM. We are solving that through StartUps Acquisitions.

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.

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.

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.