Heshan Sanjuka

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

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-S… #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/r…

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.

free custom datasets for pro users

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

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

@adityadotdev I always run a bash script called commit.sh git add . git commit -m "new update" git pull --rebase origin main git push origin main --force

Everytime I do a git commit

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.

Under the hood: • Daily automated pipelines • Anti-detection scraping stack • S3-backed streaming • Schema-validated & deduplicated Production-ready data.

People are using this for: • Market & sentiment analysis • LLM training datasets • Trend detection • OSINT research • Dashboards & data apps Built for real-world use.