Antim0ny

Software Engineer | CRƐATĪVƐ | Writer ✍️ iMove like DaVinci🤹🏾‍♂️

[Roy Carrilho @RuiCarrilho5]

has anyone ever actually read this end-to-end?

...is it even remotely worth it?

[Jokotoye Emmanuel @AutomationKing0]

500M people complain on Reddit every single day.

That's exactly how I find viral digital product ideas before everyone else.

Here are my exact system + AI prompts:

[Afshine Emrani MD FACC @afshineemrani]

I'm a cardiologist. If I could only recommend two supplements for the rest of my career, it would be these:

Magnesium glycinate.
Vitamin D3 with K2.

I take both every day. I prescribe both constantly. And the number of patients whose lives visibly change within weeks of starting them still surprises me after twenty years.
Up to 75% of Americans are low in magnesium. Most have no idea. If you're stressed, sleeping poorly, cramping at night, your blood pressure runs high, or you feel wired but exhausted — this is probably why.

Magnesium calms the nervous system, relaxes blood vessels, supports healthy heart rhythms, and improves sleep quality. The glycinate form is highly absorbable and gentle on the stomach. 300-400mg before bed. It's the supplement patients thank me for most — because they finally wake up feeling calm instead of wrecked.
Most Americans are also deficient in vitamin D. Low D3 quietly ruins your mood, weakens your immunity, increases inflammation, and raises cardiovascular risk. I see suboptimal levels constantly in my heart patients. Target blood levels of 50-80 ng/mL — not the bare minimum of 30 most doctors accept.

Here's what almost nobody knows: low D3 actively depletes magnesium. Your body uses magnesium to convert D3 into its active form. If you supplement D3 without magnesium, you can actually worsen a magnesium deficiency — and wonder why you still feel terrible.
You need both. They work as a system.

And always take D3 with K2. Without K2, calcium from D3 can deposit in your arteries instead of your bones. Together, they keep bones dense and arteries clean.
D3 with K2 in the morning with a meal containing fat — they're fat-soluble.
Magnesium glycinate at night before bed.

Cheap. Available everywhere. Backed by extensive evidence. And the combination addresses two of the most common deficiencies driving the fatigue, poor sleep, anxiety, muscle cramps, and low mood that millions of people are medicating with far more expensive and dangerous interventions.

Your future self will thank you. Probably within two weeks.

[Favorite fitness tips @fit_nesswork]

You can complete workout with the help of chair.

[Hasan Toor @hasantoxr]

If you build AI side projects, this repo can save you a stupid amount of money.

It is called FreeLLMAPI and it give you access to 11 free LLM providers with over a billion tokens per month.

This includes free LLM's like Google, Groq, Mistral, OpenRouter, GitHub Models, Cohere, Cloudflare, HuggingFace, Z AI, Ollama, Kimi, and many many more.

This includes a key feature called automatic fallover which means that if a model is out of tokens or it reaches a limit, then it will go to the next model.

You put them behind one OpenAI compatible endpoint.

One `/v1` API.

One key.

One router.

Then it automatically:

→ Picks the best available model
→ Falls back when a provider rate-limits
→ Tracks usage per key
→ Keeps you under free-tier caps
→ Stores keys encrypted
→ Works with OpenAI SDKs
→ Supports chat, embeddings, images, audio, tools, and streaming

The crazy number:

Stacked together, the repo says these free tiers add up to around 1.7B tokens per month.

It is a ridiculous amount of free inference behind one endpoint.

https://t.co/t2hCAwFbqF

[ibo @ibocodes]

my entire 2026 stack runs on cloudflare and I pay $5/month for it

- workers (compute)
- d1 (sql db) + better auth
- kv (cache)
- r2 (object storage)
- queues (background jobs)
- hyperdrive (db acceleration)
- email routing (sending)
- + waf & ddos built-in

[adah @alohaproxy]

Learning Go?

Pick your path:

Go + Gin → Backend APIs

Go + gRPC → Distributed Systems

Go + Kafka → Event-Driven Systems

Go + Kubernetes → Cloud Native

Go + Docker → Containers

Go + Terraform → Infrastructure

Go + Prometheus → Observability

Go + Redis → High-Performance Caching

Go + WebSockets → Real-Time Apps

One language. Countless engineering careers. 🫡

[Art of Life 🦋 @Art0fLife_]

I needed this advice 25 years ago:

[hannie 🪽 @eomahnnah]

best reads this week 🩷

[Antim0ny @tobilobasb]

@utdreport @lauriewhitwell Manchester United are going to have a busy summer 😂

[Antim0ny @tobilobasb]

@utdreport @lauriewhitwell The most unserious club in the universe lol

[ح @h47uu]

‘A man in loneliness is the neighbour of God’

[Rahul @sairahul1]

Sam Altman:

"We're going to see 10-person billion-dollar companies pretty soon."

"If I were 22 right now, I'd feel like the luckiest kid in history."

Most people will read this, feel inspired for 3 minutes, and go back to what they were doing.

The ones who act will build a one-person company this weekend.

One tool. Claude Cowork. Full operation.

This is the exact playbook ↓

[Sharbel @sharbel]

The 10 fastest growing GitHub repos this week:

1. OpenMontage (+17.2K stars)
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://t.co/Eyne4RLb91

2. skills (+11.1K stars)
Skills for Real Engineers. Straight from my .claude directory.
https://t.co/PTYJ04IvSV

3. codebase-memory-mcp (+7.6K stars)
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
https://t.co/rdyghXFakB

4. Agent-Reach (+7.2K stars)
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://t.co/Bwjgn68nbE

5. daily_stock_analysis (+6.9K stars)
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
https://t.co/3Pv4wIKQij

6. Anthropic-Cybersecurity-Skills (+5.1K stars)
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · https://t.co/Y0NuBsNoS7 standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
https://t.co/QkecybDfm4

7. design.md (+4.6K stars)
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
https://t.co/KB88s8dTzG

8. ai-website-cloner-template (+3.9K stars)
Clone any website with one command using AI coding agents
https://t.co/q2b9cpOhuE

9. voicebox (+3.8K stars)
The open-source AI voice studio. Clone, dictate, create.
https://t.co/o2JYalF0aB

10. penpot (+3.6K stars)
Penpot: The open-source design tool for design and code collaboration
https://t.co/fUHwzWq6y9

The theme this week: agent skill packs and context files are becoming the new developer dotfiles.

Bookmark this. Next week's list will look completely different.

[Rahul @sairahul1]

https://t.co/Cd0ajOKKnn

[Tom Dörr @tom_doerr]

Fitness dataset with animation GIFs and bilingual instructions

https://t.co/JsCroM0Lye

[Karan🧋 @kmeanskaran]

Stop building AI/ML projects in 2026 like it's 2023

Do this instead.

1. Classic ML:
- Stock forecasting:
Use Yahoo Finance API for stock forecasting. Learn moving averages, seasonality, and other features. Apply statistics, feature engineering, and model training.

Use transfer learning (index as parent model, stock as child model). Study ML techniques in finance and implement them.

Perform model versioning, experimentation, and MLOps lifecycle with Docker, CI/CD, and drift detection.

- Image/Video classification:
Pick static data from Kaggle. Perform data annotation, augmentation, and class imbalance handling. Train neural networks and explore various techniques.

Understand quantization and inference on NVIDIA Triton Inference. Deploy a lightweight model on mobile devices with better latency.

Build a pipeline to switch to improved model versions and monitor performance plus GPU usage.

---

2. Complete VLM/LLM pipeline:
- Design API for LLM:
Take any model from Unsloth. Understand fine-tuning stages, data cleaning, and chat templates.

Run fine-tuning on multi-GPU setup using PEFT. Save quantized versions on Hugging Face. Load the model in vLLM inference and build a complete FastAPI backend.

Fine-tune two models (one for text generation, one for reasoning). Route user queries with KV-cache and rate limiting.

Deploy the API with authentication on AWS/GCP. Monitor backend, tokens, and GPU usage. Stress-test the architecture and fix issues.
Excellent project.

---

3. Multi-Agent System
- Agent Harness with Ops (currently building):
Design a multi-subagent system that operates in isolation. Add a memory layer for conversations.

Learn prompt caching vs semantic caching tradeoffs. Build a backend with Celery workers to handle requests without exhausting the LLM. Evaluate agent orchestration with prompt versioning.

Deploy the orchestration backend with Docker, observability, and Kubernetes.

Keep in mind for any project:
- Learn architecture design and flow.
- Use rate limiting, caching, and Docker every time.
- For LLM projects, track token usage and design session limits.
- Deployment is mandatory on AWS or GCP free tier.
- For mid-to-senior roles, focus on Kubernetes, load balancing, multi-GPU training, and inference layers over data and project titles.

Instead of wasting $100 on certificates, spend on cloud credits and API keys for hands-on end-to-end design.

Lastly, project design and system understanding matter more than fancy titles or LLM providers.

Always ask Claude and Chatgpt for peer coding and designing. Simulate QnA sessions for deeper understanding.

Keep learning ;)

[Ahmad @TheAhmadOsman]

Wanna know why Anthropic hates Opensource AI?

GLM 5.2 being free and available to download made their $1 Trillion valuation make no sense

[The Math Flow @TheMathFlow]

Sine and Cosine waves are...nothing but the shadows of a spinning circle.

[Justin Skycak @justinskycak]

Every student needs to read "You Are NOT Dumb, You Just Lack the Prerequisites" by @lelouchdaily.

"It’s like walking into a movie halfway through—you can’t understand the plot because you missed the beginning."

Unfortunately, those who need to hear it most, seldom do.