Vessel's answer

• GCP Compute Engine (dedicated VMs per agent)
• Cloudflare Tunnels (encrypted inbound, no public IP)
• OpenClaw (open-source AI agent runtime, MIT license)
• Next.js 14 App Router (dashboard, GCP Cloud Run)
• Express.js (API layer, GCP Cloud Run)
• Supabase Postgres (database and auth)
• GCP Cloud Build (CI/CD)

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.

Vessel's answer

Vessel is managed hosting for OpenClaw built around privacy and security first. Most OpenClaw hosting providers share containers or expose default ports. Vessel gives every agent its own dedicated GCP VM: its own kernel, its own disk, no shared memory with other tenants. No public IP. No exposed port 18789. All inbound traffic routes through an encrypted Cloudflare Tunnel. 300,000+ self-hosted OpenClaw instances are currently exposed on the public internet. Vessel makes secure, isolated deployment the default.

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.

Vessel's answer

Most OpenClaw hosting alternatives use shared containers or expose the default port 18789 publicly. When your agent handles client data, credentials, and sensitive correspondence, shared infrastructure introduces risks that are hard to audit and harder to explain to clients. Vessel provides kernel-level isolation per agent, Cloudflare Tunnel inbound (zero port exposure), and full lifecycle management from a web dashboard: no server configuration required.

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.

Vessel's answer

Founders, marketers, lawyers, accountants, and professionals who run OpenClaw AI agents for serious work: client research, financial data, sensitive correspondence, automated workflows that touch real accounts. They need their agent to be always-on and private, but they are not infrastructure engineers and do not want to become one. Vessel is for people who want to use OpenClaw and need a trustworthy place to run it.

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.

Vessel's answer

When OpenClaw launched in late 2025, it introduced something genuinely new: a persistent AI agent runtime that connects to the platforms professionals actually use and runs around the clock. What it lacked was production-grade infrastructure. The default setup exposes port 18789 publicly and leaves users to sort out tunnels, secrets, and isolation themselves. 300,000+ instances ended up exposed on the internet as a result.

I built Vessel to fill that gap. If your agent is going to handle real work, it deserves real infrastructure: dedicated VM, encrypted tunnel, locked-down defaults, lifecycle tooling. Without requiring you to be a cloud engineer.

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.