p-Hacker is a trend topic and keyword analysis website focused on Hacker News, positioned as a “top trending Hacker News topic and keyword analysis” tool. By analyzing the Hacker News corpus, it surfaces topic clusters that are heating up unusually fast in the tech community, with entry points such as Topics, Keywords, Compare, and Search. For marketing and SEO use cases, it is more of a content ideation tool and early trend radar for the tech world than a full SEO suite.
The site’s core capability is identifying topic clusters whose mention volume is unusually high relative to a historical baseline. Rankings support three time windows: Today, This week, and This month, each compared against a longer baseline. Today and This week use a 28-day baseline, while This month uses a 90-day baseline. The sample page shows that 11,612 items were processed in the past 24 hours and lists 50 topics, including 45 trending topics with q ≤ 0.05 and 5 popular topics. Each topic displays the number of related HN items, the count over the past 7 days, and the standard deviation change, with examples including housing speculation, AI’s impact on code and engineers, and controversies around technical interviews.
The crawled text does not disclose pricing, paid plans, free trials, payment methods, or account system details. It also does not show information about APIs, exports, Slack/email alerts, Google Sheets, or other integrations. What can be confirmed is that it is delivered as a web-based service, suitable for direct browsing and search-based analysis.
Its strengths are a clear data source and a sharp focus on Hacker News, making it sensitive to technical topics around developers, AI, startups, infrastructure, and related areas. It also uses statistical anomalies and historical baselines rather than simply ranking by popularity, which helps uncover content opportunities that are suddenly gaining momentum. The limitations are also clear: its data is restricted to HN and cannot represent broader web search demand. The text does not show traditional SEO metrics such as keyword search volume, SERP data, backlinks, or competition level, and it also lacks team collaboration and marketing automation features.
It is suitable for technical content teams, developer relations, B2B SaaS marketers, SEO editors, and researchers who want to discover trending topics in English-speaking tech communities, plan blog content, or monitor industry sentiment. The text does not provide information about access from China, and payment methods are also unknown. If you need more comprehensive alternatives, consider Google Trends, Exploding Topics, SparkToro, Ahrefs Content Explorer, or BuzzSumo. For Chinese SEO, it should still be paired with local data sources such as Baidu Index, 5118, and webmaster tools.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on p-hacker.com official site.
p-hacker.com is an Unknown Marketing & SEO provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach p-hacker.com directly.