AI Opportunity Radar (Ongoing)
AI trends → micro-SaaS score, plan & roadmap
Description
Every day, dig out product opportunities from AI hotspots that can actually make money. There's a lot of AI news, but few opportunities that can turn into real products. This Skill helps you filter out the noise and turn 'new models, new tools, new open-source projects, user complaints, competitor changes' into a startup radar: - What's the most worth-watching opportunity today? - Which users are really willing to pay? - Which direction can deliver an MVP in 1-2 weeks? - Where to find the first batch of customers? - How to decide whether to continue or give up within 7 days? Suitable for: - Indie developers wanting to build micro-SaaS - Entrepreneurs looking for AI startup directions - AI self-media/knowledge bloggers needing continuous topics - Product managers doing product strategy, competitive research, market insights - Investors/researchers wanting to turn industry data into actionable plans
Related Skills
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App Opportunity Radar
App Opportunity Radar is an AI-powered topic selection and market validation skill for indie developers. When you don't know what your next app should be, it first discovers candidate opportunities from real market signals such as app stores, user reviews, Product Hunt, Reddit, pricing pages, and competitor websites, filters out weak ideas unsuitable for indie developers, and then performs competitor, pricing, pain point, MVP, risk, and go/no-go analysis on the most promising directions. Ideal for indie developers who open Cursor, Claude Code, or Codex but don't know what product to build.
Startup Opportunity Radar
Turn “I think this could make money” into “What evidence is worth testing?” Discover and screen early-stage business opportunities suited to solo businesses, micro-SaaS, AI tools, digital products, data products, physical goods based on supply chains, and transaction services. It starts with real user friction, substitute behaviors, payment actions, and industry changes, helping you avoid mistaking popular trends, search volume, or scattered complaints for genuine demand. You can ask it to scan for new startup directions, or submit a product idea, market, link, screenshot, plan, sales feedback, or historical opportunity list for an individual health check, validation design, or periodic review. The analysis distinguishes facts, inferences, assumptions, and opposing evidence. It examines buyers, use cases, competitive gaps, data and supply chain legality, customer acquisition channels, standardization potential, maintenance costs, and related liability risks. When evidence is insufficient, it states that clearly instead of inventing market size or purchase intent. You will receive a clear opportunity assessment, an evaluation of opportunity quality and user adoption readiness, and a minimum validation plan focused on the riskiest assumptions. This includes validation actions, a stage budget, the maximum acceptable loss, and criteria for proceeding or stopping. It helps you decide which opportunities are worth investigating further while allowing conclusions such as “monitor,” “gather more evidence,” or “do not pursue this cycle,” making startup investment more manageable and gradually building repeatably sellable products and long-term assets.
AI Hot News Daily
Radar Skill (AI Radar) – Zero API, Zero Key, Zero Server: Chinese AI news queries. Data comes from the publicly available static JSON of AI News Radar on GitHub Pages (auto-updated daily by GitHub Actions). Fetch with curl, no authentication, no User-Agent requirement, no rate limit, and you can fork the entire data pipeline to your own. Use it when users ask "What's new in AI today?", "AI news from the last 24 hours", "AI daily report", "What large models have been released recently?", "AI product updates", "What's new in Agent tools?", "What have OpenAI/Anthropic/Google released recently?", "AI hot topics", "Show me AI Radar", "Which AI sources are worth following?", or any other Chinese AI information queries. Even if the user only says "AI scene", "AI news", "What's new today?", as long as the context is AI / large models / Agents / developer tools, this Skill should trigger. **Don't undertrigger** – if a user asks for AI news and you don't call this Skill, you're presenting outdated training data as today's news, which is harmful to the user. Do not use for maintaining the AI News Radar repository itself (adding sources, modifying scraping logic, deploying Pages – for that use the Bole Skill / ai-news-radar); do not use for general non-AI news queries; do not use for private information sources that require login.
AI Opportunity Radar (Ongoing)
AI trends → micro-SaaS score, plan & roadmap
Description
Every day, dig out product opportunities from AI hotspots that can actually make money. There's a lot of AI news, but few opportunities that can turn into real products. This Skill helps you filter out the noise and turn 'new models, new tools, new open-source projects, user complaints, competitor changes' into a startup radar: - What's the most worth-watching opportunity today? - Which users are really willing to pay? - Which direction can deliver an MVP in 1-2 weeks? - Where to find the first batch of customers? - How to decide whether to continue or give up within 7 days? Suitable for: - Indie developers wanting to build micro-SaaS - Entrepreneurs looking for AI startup directions - AI self-media/knowledge bloggers needing continuous topics - Product managers doing product strategy, competitive research, market insights - Investors/researchers wanting to turn industry data into actionable plans
Related Skills
View allApp Opportunity Radar
App Opportunity Radar is an AI-powered topic selection and market validation skill for indie developers. When you don't know what your next app should be, it first discovers candidate opportunities from real market signals such as app stores, user reviews, Product Hunt, Reddit, pricing pages, and competitor websites, filters out weak ideas unsuitable for indie developers, and then performs competitor, pricing, pain point, MVP, risk, and go/no-go analysis on the most promising directions. Ideal for indie developers who open Cursor, Claude Code, or Codex but don't know what product to build.
Startup Opportunity Radar
Turn “I think this could make money” into “What evidence is worth testing?” Discover and screen early-stage business opportunities suited to solo businesses, micro-SaaS, AI tools, digital products, data products, physical goods based on supply chains, and transaction services. It starts with real user friction, substitute behaviors, payment actions, and industry changes, helping you avoid mistaking popular trends, search volume, or scattered complaints for genuine demand. You can ask it to scan for new startup directions, or submit a product idea, market, link, screenshot, plan, sales feedback, or historical opportunity list for an individual health check, validation design, or periodic review. The analysis distinguishes facts, inferences, assumptions, and opposing evidence. It examines buyers, use cases, competitive gaps, data and supply chain legality, customer acquisition channels, standardization potential, maintenance costs, and related liability risks. When evidence is insufficient, it states that clearly instead of inventing market size or purchase intent. You will receive a clear opportunity assessment, an evaluation of opportunity quality and user adoption readiness, and a minimum validation plan focused on the riskiest assumptions. This includes validation actions, a stage budget, the maximum acceptable loss, and criteria for proceeding or stopping. It helps you decide which opportunities are worth investigating further while allowing conclusions such as “monitor,” “gather more evidence,” or “do not pursue this cycle,” making startup investment more manageable and gradually building repeatably sellable products and long-term assets.
AI Hot News Daily
Radar Skill (AI Radar) – Zero API, Zero Key, Zero Server: Chinese AI news queries. Data comes from the publicly available static JSON of AI News Radar on GitHub Pages (auto-updated daily by GitHub Actions). Fetch with curl, no authentication, no User-Agent requirement, no rate limit, and you can fork the entire data pipeline to your own. Use it when users ask "What's new in AI today?", "AI news from the last 24 hours", "AI daily report", "What large models have been released recently?", "AI product updates", "What's new in Agent tools?", "What have OpenAI/Anthropic/Google released recently?", "AI hot topics", "Show me AI Radar", "Which AI sources are worth following?", or any other Chinese AI information queries. Even if the user only says "AI scene", "AI news", "What's new today?", as long as the context is AI / large models / Agents / developer tools, this Skill should trigger. **Don't undertrigger** – if a user asks for AI news and you don't call this Skill, you're presenting outdated training data as today's news, which is harmful to the user. Do not use for maintaining the AI News Radar repository itself (adding sources, modifying scraping logic, deploying Pages – for that use the Bole Skill / ai-news-radar); do not use for general non-AI news queries; do not use for private information sources that require login.
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