Dhedi

Commonly Uncommon

[Dhedi @dhedinumber1]

“Certifications were created to teach you what those people already know. And once you are in, you’ll learn that many just hold certifications but lack experience.”

Not in this field, in respect to all.
https://t.co/qAsDr1cvGk

[Dhedi @dhedinumber1]

@AshutoshRanka That T-shirt you’re deliberately wearing to gain sympathy doesn’t suit you.
CJP could become a case study in how positions change—from initially denying any involvement with political parties to later cheering alongside them.
The nation is watching you.

[Aircorridor @_aircorridor]

PentestCode is an impressive tool that might significantly speed up your pentest or bug bounty hunting!

Check out an article from @co11ateral to learn how to use it:
https://t.co/vPd4og4Ipz

[marcus @marcusyul]

Este tipo explicó cómo creó 3 webs que le generan 100,000$ al mes.

En 25 minutos muestra cómo lo hizo, paso por paso. Totalmente gratis.

Idea → Web → Monetizar

🔖 Créeme: no lo dejes pasar.

[Roan @RohOnChain]

My friend applied to 150 tech jobs in two years. No MIT. No Stanford.

Last month Anthropic offered him $750,000.

I asked him how he broke in from zero.

He sent me the exact video that got him in. A 3-hour course to build a full LLM from scratch.

A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built.

I watched it last night.

Halfway through, I realized I could break into an AI lab in weeks, not years.

Bookmark this and read the article below.

• 00:00 - intro to building LLMs
• 17:58 - LLM tokenization
• 01:06:03 - LLM embedding vectors
• 02:46:55 - LLM transformer architecture
• 03:25:05 - GPT architecture

[Dark Web Intelligence @DailyDarkWeb]

🕵️ New OSINT Tool: TrackWanted Puts Wanted Persons, Private Jets & Military Aircraft on One Map

A new open-source intelligence platform called TrackWanted has appeared, combining multiple public-data sources into a single interactive 3D globe.

* The platform currently indexes 35 public wanted cases

* It includes wanted notices sourced from publicly available police and government agency information

* Wanted-person entries include estimated geographic areas, uncertainty visualization and confidence scores

* The platform also tracks 81 private aircraft associated with billionaires, prominent individuals and heads of state

* Aircraft registrations are cross-referenced against aviation registry sources

* A separate military board currently covers 32 military and government airframes, including transport, tanker, surveillance and command aircraft

* Users can also search aircraft registrations and examine estimated flight-related carbon emissions

* The service is free and does not require registration

⚠️ Important: TrackWanted states that wanted-person locations are estimates derived from public reporting and should NOT be interpreted as real-time locations.

Aircraft positions are also described by the platform as simulated telemetry based on realistic schedules rather than confirmed live positions.

⚠️ Analyst Note: The interesting part isn't any individual dataset — most of the underlying information is already public. The value is aggregation. Bringing wanted notices, aviation registries, military aircraft information and geographic intelligence into a single interface can significantly reduce the time required for preliminary OSINT research. Analysts should still validate every result against the original authoritative source before drawing conclusions.

Source:
https://t.co/GJbdU70pmU

#DDW #OSINT #Intelligence #ThreatIntelligence

[Tom Dörr @tom_doerr]

Practice cybersecurity skills using 70 hands-on projects with full source code, organized from beginner fundamentals to advanced security operations.

https://t.co/xu93Q5bOoU

[Dhedi @dhedinumber1]

Bhai India band karo, nahi chahiye aapka ye product or advertisement.
Bhai #jio already de rha hai free me pro version #gemini.

@dhruv_rathee Band karo

[Neo Kim @systemdesignone]

If you want to become god-level with AI engineering, then learn these 21 concepts:

[Abhishek Meena @aacle_]

I Connected Claude Code direct to Burp via MCP

one command:

```
claude mcp add burp --transport sse http://127.0.0.1:9876
```

that's literally it.

after that Claude start working by himself:

- browse my proxy history
- do auto-recon on target
- create testing todo-list
- play with requests and responses
- find bugs while i do other stuff

i just give him scope. he do the grinding. i do the thinking.

result so far: **11 confirmed bugs**

real bugs. not hallucination. i verified each one.

https://t.co/4ritanX0F4

[Dhedi @dhedinumber1]

Dear, @CRED_club stop distributing unwanted coupons.
Also, there is no additional new feature we observing.
We have collected 1 million #cred coins unknowingly and not getting where to spend.
There is no feature we can convert those coins into real cash to shopping coupons.

[Anatoli Kopadze @AnatoliKopadze]

A Google Cloud engineer just showed how to build a full app with Claude from scratch.

He spent 26 minutes live on stage doing what most teams take weeks to do.

Worth more than any $500 vibe-coding course, no team, no setup, just Claude and a goal.

The ones who learn what Claude actually does are shipping what everyone else outsources to a team.

Watch it, then read the guide below on the Claude features 99% of users never find.

[Mahax @Mahaximus_]

Andrew Ng just dropped a 2-hour course on Graph Engineering: from Loops to full automation

9:14 - Your first agent
33:11 - Loop engineering
1:02:46 - Graph engineering
1:30:15 - Agents that rewrite themselves
1:49:05 - Full graph system

Free, the best thing on graph engineering I've come across

Watch it, then build your first graph with the guide below

[Dhairya @dkare1009]

Don't waste 2 years learning to become an AI agentic engineer in 2026.

Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.

1 hour course. Free:

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

I watched it last night.

Halfway through, I realized I could get into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent.

[Ayaan 🐧 @twtayaan]

This is the only site you need to actually get good at Linux, Docker and Kubernetes.

https://t.co/DPOgECQVcH

[Ojasvika (Oz) @Ozacle23]

they thought he was lying, so 79 companies rejected him.

meet vineet - 21, from a small town in odisha.

joined us as an intern, now leads engineering at minimi.

built one of the world’s best ambient memory layers, beating AI companies that raised millions to solve this.

an absolute prodigy and a delight to work with🙂

try what he has built on https://t.co/tTe5mZY7wR | follow us on @project_minimi

meet him here @vineetgupta3012 :)

[Sameer Bhagtani @sameerbhagtani]

I turned my old laptop into my own cloud ☁️

[Dhedi @dhedinumber1]

@SauravDassss Bhai mat aana tum. They are doing good without damaging anything.

[Dhedi @dhedinumber1]

@SushantBSinha Fake custody #jharkhand #jpsc #jssc #protest

[Co11ateral @co11ateral]

For those of you interested in OSINT, here is another tool for WhatsApp

https://t.co/BNAsdSYymJ

@three_cube

[Mahax @Mahaximus_]

Google just dropped a 1-hour course on Graph Engineering: from agents to Loops to full automation

00:00 – Build your first AI agent
08:24 – Build agent memory
28:34 – Agentic loops
40:04 – How to build MCP
1:00:22 – Graph engineering

This 1-hour watch replaces any $500 course you could pay for.

Watch it, then try your first graph with the step-by-step guide below