100 premium datasets across Reddit, YouTube, GitHub & Medium. Reddit threads, GitHub repos, YouTube videos & Medium articles — pre-processed with sentiment scores, topic tags, and engagement signals. • Daily pipelines (Playwright anti-detection) • S3 streaming downloads • CSV / JSON / JSONL / Parquet • REST API (no SDK needed) Free samples (no signup) free datasets under 500 records. Don’t see what you need? We can collect, clean, and deliver custom datasets in days. → socialintel.io

Pulse Aggregator 2.0 Official Release, Coming Soon! pulseaggregator.com/changelo…

Social Intel 2.0 Official Release, Coming Soon! socialintel.io/changelog

When a backend developer touches CSS 😂

Just dropped Anti-Blocking Web Scraper for Playwright Python — a ready‑to‑run Playwright setup pre‑configured to bypass common anti‑scraping protections. Check it out: github.com/hexsyro/Anti-Scra… #Playwright #WebScraping #Cybersecurity #OSINT #DevTools

PulseAggregator scaled: From 250 sources to 1,000 sources in 2 months! BBC → Reuters → Guardian → TechCrunch → 975 more. 4-tier RSS Playwright fallback now handles 100K articles/week with 99.9% uptime. Volume → Value. #WebScraping #ETL #BuildInPublic

Social Intel update: Went from 4 platforms to 79 platforms! Reddit → YouTube → GitHub → Medium → 75 more. Production ETL now delivers sentiment, emotions, financial signals, virality scores across all. Scale compounds. #WebScraping #DataEngineering #BuildInPublic

Building Social Intel - production ETL pipeline scraping 75 social platforms → clean datasets with sentiment, emotions, financial signals, virality scores. Drop-in ready for AI training & analytics. #WebScraping #DataEngineering #Python

PulseAggregator live: 1,000 news sources → deduplicated articles → full-text search keyword alerts. FastAPI PostgreSQL Next.js. 100K articles/week, 99.9% uptime. Media monitoring that actually works. #ETL #FastAPI #Playwright

Here's how to deliver reflected XSS through a HTTP request smuggling vulnerability! 👇 Try this Practitioner lab now: portswigger.net/web-security…

I wonder how hard it was before API came to be 😂

This is bigger than it seems for the AI agents. S3 Files lets you mount any S3 bucket as a native NFS on any container or lambda with ~1ms latency via EFS under the hood. Why it matters for agents: no more copying data or bridging object <-> file abstractions. Agents can now read/write S3 directly as a mounted filesystem. Multiple agents can share the same mount with close-to-open consistency. Long-term storage becomes the same as the short-term storage. Agent runtime bootstrap and teardown become trivial and instant while your data stays durable in S3 with auto bi-directional sync.

Step by step roadmap guide to becoming an AI and Data Scientist in 2026 roadmap.sh/ai-data-scientist

As a fullstack Dev I do Python and Next.js

how did github build github without github?

accurate as hell

If you’re working with data, AI, or research: This can save you hours of manual work. → socialintel.io

Need a dataset that isn’t listed? I can collect, clean, and deliver custom datasets in a few days.

No SDK needed. Just: curl /api/datasets/sample/... Or plug it directly into Python, Node, or any HTTP client.