Question 1

What research does ASOF publish about tech trends?

Accepted Answer

ASOF publishes data-driven research including viral content analysis (what makes HN posts go viral), Product Hunt launch timing studies, GitHub stars-to-revenue correlation, and emerging technology predictions. Each study analyzes thousands of data points from our 110,000+ signal database.

Question 2

How did ASOF analyze viral Hacker News posts?

Accepted Answer

ASOF analyzed 159 Hacker News posts that achieved score 100 (maximum tracked). Key findings: negative sentiment articles outperform positive (49% vs 28%), optimal title length is 6-12 words, and confession-style hooks ('I failed at...') drive highest engagement. The full methodology and title templates are published in our Viral HN Case Study.

Question 3

What is the best day to launch on Product Hunt?

Accepted Answer

Based on ASOF's analysis of 488 unique Product Hunt launches across 1,494 snapshots, Wednesday at 12:00 UTC (4:00 AM PST) shows the highest average scores (55.3). This timing captures both US and European audiences at optimal engagement windows.

Question 4

Can I access ASOF's research data and methodology?

Accepted Answer

Yes, ASOF publishes full methodologies with each research study. The underlying data comes from 1,600+ snapshots collected every 30 minutes since December 2025. Research tier subscribers get access to raw data exports and API access for custom analysis.

Question 5

How often does ASOF publish new research?

Accepted Answer

ASOF publishes new research studies monthly, plus weekly trend reports (free PDF downloads). Research topics are driven by our data - when we identify statistically significant patterns in tech trends, we publish the analysis with actionable insights for founders, investors, and content creators.

ASOF Research

The Viral Code: What 159 Perfect-Score HN Articles Reveal

Product Hunt Launch Timing: When to Ship for Maximum Impact

GitHub Stars to Revenue: Which Open Source Projects Make Money

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