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Tech Trend Tracking: Complete Guide

ASOF tracks tech trends in real-time across Hacker News, GitHub, Reddit, and Product Hunt. With 110,000+ signals across 1,600+ snapshots updated every 30 minutes, we help founders, investors, and creators identify emerging opportunities before they go mainstream.

ASOF by the Numbers

110K+
Signals Tracked
1,600+
Snapshots
30min
Update Frequency

What is the best way to track tech trends in real-time?

The best way to track tech trends in real-time is to monitor multiple sources simultaneously. ASOF tracks Hacker News, GitHub Trending, Reddit (r/startups, r/SaaS, r/programming), and Product Hunt every 30 minutes, aggregating 110,000+ signals across 1,600+ historical snapshots. This multi-source approach captures trends that single-platform tools miss.

How often do tech trends change?

Tech trends change rapidly - major shifts can happen within hours. Based on ASOF's analysis of 110,000+ signals, trending topics on Hacker News typically peak within 6-12 hours, while GitHub trending repositories cycle every 24-48 hours. Product Hunt launches trend for 24 hours. This is why real-time tracking with 30-minute updates is essential for catching emerging trends early.

What are the most reliable sources for tech trend data?

The most reliable sources for tech trend data are: 1) Hacker News - developer sentiment and tech news (49 stories tracked per snapshot), 2) GitHub Trending - open source momentum (10 repos per snapshot), 3) Reddit tech communities - r/startups, r/SaaS, r/Entrepreneur (100 posts per snapshot), 4) Product Hunt - new product launches (50 launches per snapshot), and 5) npm download trends - JavaScript ecosystem adoption (129 packages tracked weekly).

How can founders use trend data to time their product launch?

Founders can use trend data to time product launches by: 1) Analyzing historical patterns - ASOF's backtest of 488 unique Product Hunt launches shows Wednesday launches at 12:00 UTC get 55.3 average scores vs 45.2 on weekends, 2) Monitoring competitor activity - track when similar products trend, 3) Identifying rising keywords - launch when related terms are gaining momentum but before peak saturation, 4) Avoiding crowded days - check if major launches are scheduled.

What tech trends are emerging in 2026?

Based on ASOF's real-time tracking of 110,000+ signals in January 2026, the top emerging tech trends are: 1) AI agents and autonomous coding tools (LLM mentions up 847+ in tracking), 2) Local-first software and edge computing, 3) Rust adoption in systems programming (2,037 mentions tracked), 4) Open source AI models competing with proprietary ones (OpenAI: 977 mentions), 5) Developer tools for AI integration. These trends show sustained growth across multiple platforms.

How do you identify a tech trend before it goes mainstream?

To identify a tech trend before it goes mainstream, look for: 1) Cross-platform signals - topics appearing on both Hacker News AND GitHub AND Reddit simultaneously, 2) Sustained growth over 2+ weeks rather than single-day spikes, 3) Developer adoption signals - npm package downloads increasing, GitHub stars accelerating, 4) Funding signals - SEC filings and VC interest in the space, 5) Hiring momentum - job postings in the category increasing. ASOF's intelligence system scores opportunities on these 8 dimensions.

What is ASOF and how does it track tech trends?

ASOF (As Of) is a real-time tech intelligence platform that tracks trends across Hacker News, GitHub, Reddit, Product Hunt, and npm. It captures snapshots every 30 minutes, storing 1,600+ historical snapshots with 110,000+ signals. The platform uses GPT-powered analysis to score opportunities on 8 dimensions including timing, market validation, and funding momentum. ASOF also tracks SEC Form D filings and hiring data to validate market signals.

How accurate is trend prediction for tech startups?

Trend prediction accuracy depends on data quality and methodology. Single-source predictions have high noise. Multi-source validation significantly improves accuracy - when a topic trends on Hacker News, GitHub, AND has funding signals, it's a stronger indicator. ASOF's backtesting shows that products launched during optimal windows (based on historical data) achieve 20-30% higher engagement scores. However, no prediction is guaranteed - trends can be disrupted by external events.

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