​Overview: > This is a curated, high-density Supervised Fine-Tuning (SFT) dataset focused on tech startup launch strategies, category positioning, and early traction signals from Product Hunt. It is formatted explicitly for LLM fine-tuning, retrieval-augmented generation (RAG), and competitive analysis applications. ​Dataset Specifications: ​Format: Valid JSON Array (Instruction/Output pairs) ​Size: 20 deep-analysis records ​Target Domain: B2B SaaS, Developer Tools, AI Agents, Productivity Systems, and Local SEO platforms. ​Data Fields Captured per Record: Brand value propositions, launch timeline data, core category/tag mapping, specific engagement metrics (upvotes, day/week/month ranks, follower counts), and inferred market-reception signals. ​Ideal Use Cases: > Training specialized AI marketing agents, fine-tuning venture capital deal-flow evaluation models, or powering automated competitive-intelligence dashboards for early-stage software startups.