Niche AI ​​Product Radar System

A systematic engine for discovering niche AI ​​product opportunities. Through structured pain point analysis, demand intensity scoring, supply constraint assessment, and mandatory paid verification design, it helps independent developers identify AaaS opportunities with low competition and high pain point density. It integrates 130+ Chinese Twitter bloggers as high-quality signal sources, building a system capable of continuously discovering structural opportunities.

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Why we love this skill

This skill serves as a scout for niche AI ​​product development, delving into communities like TikTok, Reddit, and Twitter to uncover users' real pain points and willingness to pay. Through its unique "App Monetization Three-Layer Verification" and B2C subscription compatibility assessment, it helps you accurately identify and validate high-potential AI product opportunities, quickly build MVPs, and achieve your monthly revenue goals as an independent developer.

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The author has set the instructions to private. Below is a brief overview.

This skill aims to help independent developers and entrepreneurs discover and validate niche market app opportunities with high monetization potential. It provides users with an actionable "App Monetization Radar Report" by deeply analyzing market signals, assessing pain point intensity and supply scarcity, and combining this with actual App Store revenue data. Users first need to provide or have the system collect pain point signals from multiple channels, including App Store negative reviews, Reddit communities, TikTok/Instagram comments, GitHub issues, and Chinese Twitter bloggers. These signals are structured and quantitatively analyzed based on dimensions such as problem description, sentiment intensity, frequency of occurrence, existing solutions, and monetization implications. Next, the skill calculates a "demand intensity" and "B2C subscription fit" score for each pain point to identify potential opportunities best suited for a subscription model. In the supply-side analysis phase, the skill utilizes real-time web search tools to verify the monthly revenue of existing competitors on the App Store, assessing professionalism, data, compliance, and channel barriers to calculate "supply scarcity." Ultimately, the system will select the top 5 most promising opportunities based on a comprehensive score, and design a detailed "Three-Layer App Monetization Validation" plan for each opportunity. This includes zero-cost content signal verification, low-cost willingness-to-pay verification, and medium-cost MVP mandatory payment verification. The final radar report will include a detailed profile of each opportunity, a distribution channel matrix, and a content consistency strategy, helping users clarify their Go/No-Go decision criteria and thus efficiently launch niche AI ​​product development.

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