Gaurav Sharma

Procurement guy! I love to brainstorm on difficult problems weekly! Follow me on youtube.

[Gaurav Sharma @supernegotiate]

I just received a coffee from Tahj on @buymeacoffee! https://t.co/JaoGFwo31G

[Gaurav Sharma @supernegotiate]

@vulturetrades MRNA

[Wayne Liang @wliang]

I told you the future was on sale.

Since this post, in just 12 trading days...

AI Semis:

$MRVL +22%
$MU +11%
$NVDA +6%
$SNDK +8%

Neocloud:

$CIFR +34%
$CRWV +33%
$IREN +27%
$NBIS +37%

Space:

$ASTS +28%
$FLY +27%
$RKLB +15%

Defense:

$AVAV +19%
$ONDS +42%
$RCAT +20%
$PLTR +25%

I'll share my full list and no-brainer buying opportunities soon. 🫡

[Gaurav Sharma @supernegotiate]

@vulturetrades Let go

[Vulture trades 🦅 @vulturetrades]

Due to high demand

I’m restarting the $100 to $10,000 challenge tomorrow.

I want everyone to have a fair shot at this.

Last time it took me about 7 days, will try to do it faster this time.

If you want to follow along, comment below to join

Going to lock comments in 24 hours

[AdiiX @adiix_official]

GitHub CEO after realizing two New Zealand farm kids used free code on his platform to build a $5B empire that’s eating Firebase alive and now one of the Founders drops the 46-minute playbook on how to do it again for free

[Anubhav @Anubhavhing]

What the Actual f*ck are these dudes on.

Someone just dropped Open Source Palantir on reddit named Osiris.

-Real-Time Tracking:

-10,000+ commercial, military and private aircraft live on a 3D globe

- 2,000+ satellites including ISS

- 1,400+ worldwide CCTV camera feeds

- Earthquakes, wildfires, nuclear facilities and severe weather

Built-In OSINT Tools (no installs needed):

Nmap port scanning from the browser

- DNS record lookup and enumeration

- WHOIS domain intelligence

- SSL/TLS certificate transparency

- BGP routing and ASN lookup

- Threat intelligence and IP reputation

All running on a 3D interactive globe with day/night cycle, 20+ live API feeds, and a SIGINT news aggregator.

[Rahul @sairahul1]

Karpathy didn't make a course.

He made THE course.

3 hours. Free.

Tokenization. Attention. Hallucinations. Tool use. RLHF. DeepSeek. AlphaGo.

Every behavior you've ever wondered about in an LLM - where it comes from, why it exists, how it was engineered.

The gap between engineers who understand this and engineers who don't isn't technical depth.

It's the ability to conceive of entirely different things.

[Miles Deutscher @milesdeutscher]

Claude Code + Obsidian is the most powerful AI combo I've ever used.

I literally built an AI second brain that runs my entire life.

Inspired by Andrej Karpathy's LLM Knowledge Wiki, this tool has been a complete game-changer.

Here's EXACTLY how to build one for yourself:

[Muhammad Ayan @socialwithaayan]

🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build.

48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub.

It's called Graphify. One command. Any folder. Full knowledge graph.

Point it at any folder. Run /graphify inside Claude Code. Walk away.

Here is what comes out the other side:

-> A navigable knowledge graph of everything in that folder
-> An Obsidian vault with backlinked articles
-> A wiki that starts at index. md and maps every concept cluster
-> Plain English Q&A over your entire codebase or research folder

You can ask it things like:

"What calls this function?"
"What connects these two concepts?"
"What are the most important nodes in this project?"

No vector database. No setup. No config files.

The token efficiency number is what got me:

71.5x fewer tokens per query compared to reading raw files.

That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases.

What it supports:

-> Code in 13 programming languages
-> PDFs
-> Images via Claude Vision
-> Markdown files

Install in one line:

pip install graphify && graphify install

Then type /graphify in Claude Code and point it at anything.

Karpathy asked. Someone delivered in 48 hours.

That is the pace of 2026.

Open Source. Free.

[Macharayya G @lemniscateMac]

How to generate $4 Million Revenue Pipeline using Human Strategy + AI.

Proven 5-Pillar AI enabled System

[Logan Gott @LoganTGott]

Claude DESTROYS ChatGPT for marketing on LinkedIn.

I put together the Claude LinkedIn Marketing Funnel (below)

Claude is by FAR the best at building building marketing funnels.

I use my info combined with my prompts to build out marketing strategies, assets, and funnels.

My prompts are INSANE and replace entire marketing teams.

I compiled ALL my Claude prompts into one doc:

• Lead Magnet Generator Prompt
• Lead Magnet Asset Prompt
• Lead Magnet Funnel Build Out Prompt
• Claude Landing Page Prompt
• Personal Content Database Prompt
• The Premium LinkedIn Profile Prompt
• Competitor Analysis Prompt
• ICP Analysis Prompt
• Tech Stack

Want access to the doc?

→ COMMENT "Claude"
→ FOLLOW me and I'll DM the doc!

[Gaurav Sharma @supernegotiate]

I just received 3 coffees from Tahj on @buymeacoffee! https://t.co/A6n52cDxUD

[Leonard Rodman @RodmanAi]

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU.

It's called BitNet. And it does what was supposed to be impossible.

No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed.

Here's how it works:

Every other LLM stores weights in 32-bit or 16-bit floats.

BitNet uses 1.58 bits.

Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for.

The result:

- 100B model runs on a single CPU at 5-7 tokens/second
- 2.37x to 6.17x faster than llama.cpp on x86
- 82% lower energy consumption on x86 CPUs
- 1.37x to 5.07x speedup on ARM (your MacBook)
- Memory drops by 16-32x vs full-precision models

The wildest part:

Accuracy barely moves.

BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat.

What this actually means:

- Run AI completely offline. Your data never leaves your machine
- Deploy LLMs on phones, IoT devices, edge hardware
- No more cloud API bills for inference
- AI in regions with no reliable internet

The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine.

27.4K GitHub stars. 2.2K forks. Built by Microsoft Research.

100% Open Source. MIT License

[Nav Toor @heynavtoor]

🚨 Governments pay millions for this. Someone just open sourced it for free.

It's called Crucix. It watches the entire world. And texts you when something changes.

It pulls from 26 live data sources every 15 minutes and renders everything on a single Jarvis-style dashboard.

Here's what it watches:

→ Satellite fire detection (NASA)
→ Live flight tracking
→ Radiation monitoring
→ Conflict zone events
→ Economic indicators from the Fed
→ Live market prices, crypto, oil, and commodities
→ Sanctions lists
→ Social sentiment from 17 Telegram intelligence channels
→ Maritime vessel tracking
→ News from GDELT and RSS feeds

Here's what makes this one different:

It's two-way. It pushes alerts to your Telegram and Discord. You text it back. Type /brief from your phone and get a full intelligence summary. Type /sweep to force a new scan. It responds like an assistant.

It even generates trade ideas based on cross-domain signals.

No cloud. No subscription. No telemetry. Runs on your machine.

node server.mjs

That's it. Your own intelligence terminal.

This is the kind of setup that costs six figures behind closed doors.

100% Open Source. MIT License.

[ℏεsam @Hesamation]

bro created a skill inspired by Karpathy's autoresearch to fine-tune his other Claude Code skills and iteratively make them better. one skill went from 56% → 92% in just 4 rounds of changes.

the method is to define a set of tests for your skills: what to improve. then it changes the skill slightly to see if there's an improvement or not.

[Utkarsh Sharma @techxutkarsh]

Instead of watching a netflix movie, watch this masterclass on OpenClaw for TradingView to upgrade your trading game

[CyrilXBT @cyrilXBT]

Stop sleeping on AI

Obsidian + Claude Code = your own JARVIS.

Takes 1 hour to build.

Most people will scroll past this and stay unproductive.

The ones who stop and build it will never work the same way again.

[Muhammad Ayan @socialwithaayan]

Anthropic is offering 13 free AI courses right now

Here's the full list:

𝟭. Claude 101
Beginner-friendly intro to Claude for real work.
Core features, workflows, and best practices.
🔗 https://t.co/qKISMmL3HZ

𝟮. AI Fluency: Framework & Foundations
How to think about AI before going deeper.
The clearest starting point for non-technical people.
🔗 https://t.co/YR8pD3gbR8

𝟯. Introduction to Agent Skills
Build, configure, and share Skills in Claude Code.
Perfect for reusable instructions and agent workflows.
🔗 https://t.co/7YAhABajDF

𝟰. Building with the Claude API
Function calling, tool use, streaming, and SDKs.
For developers building real AI products.
🔗 https://t.co/Y34ooosM8u

𝟱. Claude Code in Action
Claude Code inside your actual dev workflow.
Hands-on. Practical. Built for shipping faster.
🔗 https://t.co/pCVFfuNqc4

𝟲. Intro to Model Context Protocol
Build MCP servers and clients in Python from scratch.
Covers tools, prompts, and resources end to end.
🔗 https://t.co/wd9aMo52mq

𝟳. MCP: Advanced Topics
Production-level MCP — sampling, notifications, file access.
For engineers ready to go beyond the basics.
🔗 https://t.co/NC6779ZYEy

𝟴. AI Fluency for Students
Use AI for learning, productivity, and career growth.
Focused on responsible and effective collaboration.
🔗 https://t.co/uQiAllvt2J

𝟵. AI Fluency for Educators
For faculty and instructional designers integrating AI.
Covers teaching strategy and institutional adoption.
🔗 https://t.co/nixokRzKZX

𝟭𝟬. Teaching AI Fluency
For anyone training others to become AI-fluent.
Assessment, delivery, and curriculum planning included.
🔗 https://t.co/yXLAPlKx4D

𝟭𝟭. AI Fluency for Nonprofits
AI adoption without losing mission alignment.
Focused on real impact, efficiency, and practical use.
🔗 https://t.co/QwtRGXGrCR

𝟭𝟮. Claude with Amazon Bedrock
The full AWS-focused Claude course — now free.
Everything you need to build with Claude inside Bedrock.
🔗 https://t.co/0UVfDgklJS

𝟭𝟯. Claude with Google Cloud's Vertex AI
Setup to production on Google Cloud using Claude.
For teams already inside the Google ecosystem.
🔗 https://t.co/0tmBz6Ig9V

Which course are you starting with?

[Julian Goldie SEO @JulianGoldieSEO]

Claude AI FULL COURSE 5 HOURS (Build & Automate Anything)