Hacker News ranks recency-heavy posts by default. Build a simple web app/extension that lets users filter and sort HN stories by score, time window, and topic to surface the highest-quality posts over custom periods.
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Surface highest-scoring Hacker News posts by custom timeframe and filters targets a $1.2B = 10M tech professionals × $120 ACV total addressable market with medium saturation and a year-over-year growth rate of 8-12% YoY — niche paid curation and micro-SaaS tools growth driven by increasing subscriptionization of productivity tools (industry synthesis).
Key trends driving demand: Paid micro-SaaS adoption — more prosumers pay small monthly fees for niche productivity tools, creating steady revenue for focused products.; Signal-focused discovery demand — users are fatigued by recency-first feeds and increasingly seek quality-weighted discovery across forums.; API-first aggregation — public indexes and search APIs (like Algolia) make building mirrors and filtered views fast, lowering time-to-market.; AI enrichment for discovery — sentiment, summarization, and early-virality predictions create higher perceived value when combined with basic filtering..
Key competitors include Algolia Hacker News Search (hn.algolia.com), Hacker News (news.ycombinator.com), TopHN (example third‑party dashboard).
Analysis, scores, and revenue estimates are for educational purposes only and are based on AI models. Actual results may vary depending on execution and market conditions.
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