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What I Learned From Scraping 100,000 Tech Signals

I spent the past month scraping Hacker News, Reddit, Product Hunt, and GitHub every 30 minutes. The goal was simple: understand what makes tech content go viral. 1,095 snapshots later, I've analyzed over 100,000 individual signals. Here's…

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I spent the past month scraping Hacker News, Reddit, Product Hunt, and GitHub every 30 minutes. The goal was simple: understand what makes tech content go viral.



1,095 snapshots later, I've analyzed over 100,000 individual signals. Here's what the data actually shows.






The Saturday 17:00 UTC Effect



This was the most surprising finding. Saturday at 17:00 UTC consistently produces the highest-scoring posts across all platforms.



Average score: 75.4 vs 48.1 overall (56% better performance)



Why? My theory: Saturday is when founders, developers, and creators have time to actually engage. They're not in meetings. They're not fighting fires. They're exploring.



17:00 UTC hits multiple timezones perfectly:




  • 9 AM PST - West Coast coffee time

  • 12 PM EST - East Coast lunch break

  • 5 PM GMT - Europe winding down



The next best times? Sunday 1:00 UTC (70.4) and Thursday 11:00 UTC (69.8). Weekday mornings consistently underperform.






The 6-Word Title Rule



I analyzed 16,578 post titles. The pattern was clear: 6-word titles significantly outperform everything else.



Examples that crushed it:




  • "Show HN: Time travel through snapshots" (6 words)

  • "I built X in 48 hours" (6 words)

  • "Open source alternative to Notion" (5-6 words)



Too short (3-4 words)? Not enough context. Too long (10+ words)? People's eyes glaze over.






Databases Are Having a Moment



This completely surprised me. "Databases" as a category is accelerating at +185.6% while "Mobile" is down -17.3%.



Other rising categories:




  • Gaming: +12.5%

  • Blockchain: +10.7%

  • Data Science: +9.1%



Falling categories:




  • Mobile: -17.3%

  • SaaS: -8.5%

  • AI & ML: -3.1% (yes, really)



The AI decline isn't because people stopped caring. It's saturation. Everyone's building AI tools now, so the signal-to-noise ratio has collapsed.






Neutral Beats Excited Every Time



I ran sentiment analysis on every post. Neutral sentiment posts have a 95.5% success rate.



Excited/salesy posts? Way lower.



The HN crowd can smell marketing from a mile away. Just state facts. Let your work speak.






Best Sources, Ranked



Not all platforms are equal. Here's the average score by source:





  • github_trending: 88.9


  • hacker_news: 67.6


  • reddit_SaaS: 53.5


  • reddit_sideproject: 53.2


  • reddit_Entrepreneur: 50.0



GitHub trending posts perform 32% better than even Hacker News. Why? Selection bias. Only truly interesting projects make it to GitHub trending in the first place.






Topic Correlations Nobody Talks About



Some topics move together. Some move opposite. This matters for timing.



Topics that trend together:




  • Web Dev ↔ Mobile (0.58 correlation)

  • Web Dev ↔ Databases (0.476)

  • General ↔ Blockchain (0.53)



Topics that move opposite:




  • Remote Work ↔ SaaS (-0.573)

  • Security ↔ Mobile (-0.524)

  • General ↔ Design (-0.54)



This means: If you're seeing a lot of SaaS posts, it's probably NOT the time to post about remote work. The audience attention is elsewhere.






What This Means For You



If you're launching something:




  • Post Saturday at 17:00 UTC

  • Keep your title to 6 words

  • Stay neutral in tone

  • Check what's trending in your category first

  • GitHub trending > everything else



If you're a content creator:




  • Databases content is hot right now

  • Mobile is cooling off

  • AI is oversaturated (differentiate or avoid)



If you're an investor:




  • Watch correlation patterns for emerging trends

  • Developer sentiment is shifting toward databases/infrastructure

  • Gaming is quietly accelerating






The Meta Experiment



I'm posting this on Hacker News Saturday at 17:00 UTC. I'm using a 6-word title. I'm keeping the tone neutral.



Let's see if the data holds up.






I built ASOF to explore this data. Pick any moment in the past month and see what was viral. Compare periods. Export insights.



Try it free: https://asof.app



Discussion on Hacker News: [will update Saturday, Jan 4]

SOC Incident Playbook: Remote Code Execution (RCE) Defense
title: Detect Exploitation - What I Learned From Scraping 100,000 Tech Signals
id: 43c7c0a3-b262-44b8-83ee-436a909d2d06
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "What I Learned From Scraping 1" ascii wide
    condition:
        any of them
}
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich What I Learned From Scraping 100,000 Tec.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
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  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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