technov.ai - Sell Project
Listed March 1, 2026
About technov.ai
An enterprise AI video agency-in-a-box ready for immediate monetization
Project details
Website: https://technov.ai
Video 1: https://www.youtube.com/watch?v=sWI9tOVNaL8
Next step: <p><br></p><p>Since the heavy lifting of the background rendering infrastructure (BullMQ + Redis) and the billing integration (Razorpay) is already complete, the buyer can immediately transition from "building" to "scaling."</p><p><br></p><p><strong>1. Immediate GotoMarket (B2B SaaS): </strong> Market the tool directly to marketing agencies, media buyers, and TikTok/Reels creators who need to generate high-quality video ads at scale. The Credit System is already built to support recurring subscription revenue.</p><p><br></p><p><strong>2. Niche Down</strong>: The codebase is designed to be easily adaptable. A buyer could easily tweak the UI and prompts to target a specific highly profitable niche, such as "AI Real Estate Video Tours," "Faceless YouTube Channel Generation," or "Automated E-commerce Product Videos."</p><p><br></p><p><strong>3. Expand the AI Models:</strong> Currently, the pipeline is hardcoded to use Google Veo 3.1 </p><p>for best in class cinematic output. A buyer with developer resources could easily plug in additional </p><p>model options (like Runway Gen-3 or Luma Dream Machine) into our existing asynchronous pipeline to offer users multi-model capabilities.</p>
For sale
Asking price: $100,000 USD
What's included
Domain name, Source code, All related data, All related design work, Twitter account, Email account
1. Full transfer of the complete AWS infrastructure setup (S3 buckets for video storage). 2. Transfer of the configured Railway deployment environments. 3. Handover of the configured BullMQ background job processing architecture. 4. Associated API integration configurations (Google Vertex AI, OpenAI, Razorpay, Resend). 5. 30 days of post-sale technical support and documented developer hand-off to ensure a smooth transition of the rendering pipeline.
Reason for selling
Lack of time to market it.
Project metrics
Average Monthly Revenue: Pre-revenue