Klosed's answer

Klosed is the only AI reactivation tool built specifically for solo agents and small teams, with flat SaaS pricing and self-serve setup. Most tools in the space are either bespoke enterprise services (Pura Vida Data), full-service ISA replacement platforms (RealEstateISA, Structurely), or CRMs that add AI as a feature (Follow Up Boss, kvCORE). Klosed does one thing exceptionally well: reactivating dormant leads via SMS, in the agent's voice, with automatic qualification and warm-lead handoff. Predictable $299/month, no setup fee, no long-term contract.

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.

Klosed's answer

Three reasons. First, transparent pricing — flat $299/month per agent vs. competitors that charge $500-$2,500/month with setup fees and long-term contracts. Second, purpose-built focus — Klosed is optimized for dormant lead reactivation specifically, not enterprise ISA replacement or full-funnel CRM. Third, real proof — used by agents at SERHANT Beverly Hills and RE/MAX, with real conversation screenshots showing reactivation on year-cold leads, including a $2.5M Malibu buyer surfaced from dormant SERHANT leads.

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.

Klosed's answer

Solo real estate agents and small teams (1-5 agents) with 500+ dormant leads sitting in their CRM. Especially valuable for agents with databases of past clients, expired inquiries, open-house signups, or old portal leads (Zillow, Realtor.com, Facebook) that they've stopped following up with. Ideal customer: an established agent with 3+ years of business who has thousands of contacts but no time to work them manually.

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.

Klosed's answer

Klosed was founded by Logan Bates, an 18-year-old solo founder who went full-time on the project in 2026. The idea came from watching agents systematically ignore the leads they'd already paid to acquire while spending thousands more on new leads that convert at 1-2%. The first proof point came from manually running the reactivation playbook on a (SERHANT Beverly Hills) agent's dormant database — surfacing a $2.5M Malibu buyer and multiple qualified sellers within weeks. That validated the wedge: agents don't need more leads, they need to work the ones they have.

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.