LikeClaw's answer

LikeClaw is the only AI agent platform that combines full autonomous code execution with E2B sandboxed security. Every task runs in an isolated container that gets destroyed after completion — agents can't access your system, leak API keys, or install malware. You get OpenClaw-level power without self-hosting, without BYOK API key management, and without the security risks that made Kaspersky, Cisco, and Snyk issue warnings about the alternative.

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.

LikeClaw's answer

Three reasons: security, simplicity, and cost. OpenClaw requires 3+ days of Docker setup and runs with full system access — LikeClaw runs in 30 seconds in a sandboxed cloud. ChatGPT and Claude can chat but can't execute code autonomously or run background tasks. Cursor and Copilot are locked to your IDE. LikeClaw gives you 100+ AI models, a vetted skills marketplace, persistent file workspaces with version history, and scheduled autonomous tasks — all for pay-per-use credits starting at $5 instead of $20+/month subscriptions.

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.

LikeClaw's answer

Developers and technical founders who want AI agents that actually do things — execute code, automate workflows, process data — without spending days on setup or worrying about security. Also non-technical business users who need AI automation without touching a terminal. Common thread: they've either tried OpenClaw and hit the security/cost wall, or they're paying for multiple AI subscriptions and want one platform instead.

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.

LikeClaw's answer

We watched the OpenClaw hype cycle play out — powerful AI agents that ran unsandboxed on your machine with full system access. Then the security reports started dropping: Snyk found 341 malicious skills on ClawHub, Kaspersky issued warnings, users reported API bills hitting $3,600/month. The vision was right but the execution was dangerous. We built LikeClaw as what OpenClaw should have been — the same agent capabilities, delivered as a secure managed service with sandboxed execution and predictable pricing. First commit to production in 48 hours, global in 10 languages within two months.

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.

LikeClaw's answer

Node.js backend, React frontend, E2B for sandboxed code execution, MongoDB for data, Google Cloud Storage for media, Cloudflare for CDN and deployment, Claude Code CLI for background agent tasks. Supports 100+ LLM models from 20+ providers including Anthropic, OpenAI, Google, xAI, and DeepSeek through a unified proxy layer.

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.

LikeClaw's answer

LikeClaw is an early-stage product-led growth platform focused on individual developers and small teams. We don't disclose specific customer names at this stage.