Product Hunt Topics by xTopics

Product Introduction

1. Product Hunt Topics by xTopics is a data analytics platform that aggregates and categorizes trending topics from Product Hunt launches. It provides insights into emerging trends, market saturation levels, and niche dominance across product categories. The tool updates dynamically to reflect real-time shifts in user engagement metrics like votes and comments.
2. The core value lies in enabling entrepreneurs, investors, and product teams to identify high-potential niches and avoid oversaturated markets. By analyzing historical and current launch data, it offers actionable intelligence for strategic decision-making in product development or investment.

Main Features

1. The platform tracks topic growth rates using metrics such as percentage changes in votes (e.g., Maps +114.6%) and comments (e.g., Virtual Assistants +1700.0%). This quantifies momentum for 80+ categories like AI, SaaS, and No-Code tools.
2. Subtopic granularity reveals specialized trends within broader categories, such as "AI Art" under Art or "API Integration" under API. Each subtopic includes vote/comment counts and growth trajectories, like the 157.5% surge in Android-related upvotes.
3. A time-filtered dashboard (7/14/30 days) displays leaderboard rankings, including declining topics like Design Tools (-60.1% votes) and rising opportunities like Chrome Extensions (+12.2% votes). Custom date ranges allow longitudinal analysis.

Problems Solved

1. It eliminates guesswork in identifying market opportunities by quantifying topic popularity and saturation through empirical data. For example, the 8.8% upvote share for SaaS signals sustained demand, while Legal tools show limited traction.
2. The tool targets founders validating product ideas, investors scouting high-growth verticals, and marketers analyzing competitor strategies. Developers also use it to spot under-served niches like CUDA Optimization in No-Code.
3. Use cases include benchmarking a fintech MVP against AI Trading trends (+8.8% upvotes) or evaluating if AI Art (7.2% upvote share) has room for new entrants compared to saturated categories like Productivity (7.7%).

Unique Advantages

1. Unlike generic trend tools, it dissects Product Hunt’s unique launch ecosystem, correlating subtopics like "AI Automation" with real-world success metrics. Competitors lack its focus on launch-specific dynamics.
2. The platform innovates with growth alerts (e.g., Android’s +159.3% comment spike) and saturation flags (e.g., "🚫 skip" labels for stagnant categories). Machine learning identifies outliers like 1700% comment growth in Virtual Assistants.
3. Competitive edges include proprietary topic taxonomies (e.g., 34 subtopics under AI alone) and leaderboard integration, which ties trends directly to top-performing launches. Data updates hourly, exceeding industry-standard daily refresh rates.

Frequently Asked Questions (FAQ)

1. How frequently is the data updated? The platform refreshes every 1-2 hours, with timestamps like "Last Updated 1 day, 7 hours ago" visible on dashboards. Historical data spans multiple years for trend comparisons.
2. Can I filter topics by specific metrics? Yes, users sort topics by vote growth (e.g., +114.6%), comment spikes (+1700.0%), or upvote share (8.4% for Android). Custom filters exclude declining categories using "🚫 skip" tags.
3. How does it identify saturated markets? Algorithms flag categories with declining engagement (e.g., -60.7% comments in SaaS) or low upvote shares (2.3% for API). Opportunity tags (👍) highlight high-growth areas like Chrome Extensions (+12.2% votes).
4. Is historical trend analysis supported? Users compare 7/14/30-day performance or select custom date ranges. For example, Maps’ 114.6% vote growth is contextualized against 30-day averages.
5. Does it track subtopic overlaps? Yes, cross-category tags like "AI Agents" appear in Developer Tools, No-Code, and SaaS, revealing interdisciplinary trends. This helps spot meta-patterns like AI automation proliferation.