Dariush

Developer, Open Source Enthusiast, Indie Maker

🏗️ @altern_ai , @ai4developers
✍️ TMR (18k+ subscribers)

#buildinpublic

[Dariush @dariubs]

I just published Awesome DevTools on GitHub!

A curated list of developer tools that make life easier — from debugging & testing to security, CI/CD, and productivity.

https://t.co/olqC24xjq6

[Rajesh Agarwal @Rajesh992510253]

80+ AI tools to finish months of work in minutes.

1. Research

- ChatGPT
- Copilot
- Gemini
- Abacus
- Perplexity

2. Image

- Fotor
- Dalle 3
- Stability AI
- Midjourney
- Microsoft Designer

3. CopyWriting

- Rytr
- Copy AI
- Writesonic
- Adcreative AI

4. Writing

- Jasper
- HIX AI
- Jenny AI
- Textblaze
- Quillbot

5. Website

- 10Web
- Durable
- Framer
- Style AI

6. Video

- Klap
- Opus
- Eightify
- InVideo
- HeyGen
- Runway
- ImgCreator AI
- Morphstudio .xyz

7. Meeting

- Tldv
- Otter
- Noty AI
- Fireflies

8. SEO

- VidIQ
- Seona AI
- BlogSEO
- Keywrds ai

9. Chatbot

- Droxy
- Chatbase
- Mutual info
- Chatsimple

10. Presentation

- Decktopus
- Slides AI
- Gamma AI
- Designs AI
- Beautiful AI

11. Automation

- Make
- Zapier
- Xembly
- Bardeen

12. Prompts

- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt

13. UI/UX

- Figma
- Uizard
- UiMagic
- Photoshop

14. Design

- Canva
- Flair AI
- Designify
- Clipdrop
- Autodraw
- Magician design

15. Logo Generator

- Looka
- Designs AI
- Brandmark
- Stockimg AI
- Namecheap

16. Audio

- Lovo ai
- Eleven labs
- Songburst AI
- Adobe Podcast

17. Productivity

- Merlin
- Tinywow
- Notion AI
- Adobe Sensei
- Personal AI

18. Social media management

- Tapilo
- Typefully
- Hypefury
- TweetHunter

Follow me for more.

[Dariush @dariubs]

✢ Whirlpooling...

[Dariush @dariubs]

Restart your terminal? Really? What a dumb suggestion instead of just sourcing ~/.zshrc
@grok

[Dariush @dariubs]

I just published Best of AI as open source on https://t.co/zR7Risgyzd.

It's fully static and served on GitHub. Feel free to contribute and suggest any app you think should be there.

https://t.co/5jVqVr2pvF

[Dariush @dariubs]

@GithubProjects https://t.co/qxmJVaoswX

[Dariush @dariubs]

@nezbuilds Altern - https://t.co/PgLedZaFWG

[Dariush @dariubs]

@Tobby_scraper I'm working on https://t.co/PgLedZaFWG!

[Justine Moore @venturetwins]

Me using Claude Opus 4.8 to rename a file

[Jaisal 👋 @RatheeJaisal]

Just applied to join @Cloudflare for Startups✌️ thanks to @kristianfreeman's tweet

> Free to apply and takes less than a minute
> You can get up to $350k in usage credits

highly recommend doing so if you haven't already

[Tom Dörr @tom_doerr]

Curated guide to essential CUDA programming books

https://t.co/3PP4pslPPW

[DOGE-latest @finguru1980]

📰 CUDA Books (https://t.co/88Q7B1NKG3)

[Axiopistis Holdings LC @axiopistis]

Exploring CUDA books? Check out the curated list of must-reads and community insights on CUDA learning. Deepen your GPU programming with top references and discussions. #CUDA #GPU #Programming #AI https://t.co/QynVTKfuIt

[Joe Ingeno @JoeIngeno]

Awesome #CUDA Books https://t.co/fk7lMSHZUH

[黄小木 @ai_xiaomu]

今天HN上看到一个仓库（112赞）：alternbits/awesome-cuda-books,汇总所有学CUDA/GPU编程的好书。

6个月前，CUDA是冷门技能。 本地LLM起来后，每个想跑Qwen/DeepSeek/Llama的人都得碰GPU。

"过时技术"重新值钱。 程序员真正的护城河可能不是追新——是哪些被你扔掉的老技术。

汇编、操作系统底层、编译原理、CUDA，AI时代都在悄悄回潮。

https://t.co/ZnoFe3jBc3

[Andrés-Leonardo Martínez-Ortiz, PhD @davilagrau]

Master CUDA programming with this extensive book list! From beginner guides to advanced optimization & 2024-2026 releases. Essential for AI, HPC & GPU development.

https://t.co/iUqGlgkpoi

#CUDA #AI

[Hacker News 20 @betterhn20]

CUDA Books https://t.co/TW7LMQyx5F (https://t.co/eddSUS8mXN)

[Vasu @VaseGod]

https://t.co/20KfeGCPil

[Alex Morris @alexmorris10x]

THIS REPO HELPS BUILDERS STOP TREATING CUDA LIKE DARK MAGIC

awesome-cuda-books is a curated list of CUDA programming books.

That sounds simple, but it points at a bigger shift: more AI builders are running into the hardware layer whether they planned to or not.

This helps you find the learning path behind the buzzwords:

> GPU programming fundamentals
> memory and performance tradeoffs
> parallel computing concepts
> enough context to know when a model, kernel, or infra claim is real

For you, that means the next edge in AI tooling may come from people who understand both the product layer and the compute layer.

You do not need every founder writing kernels. But you do want enough literacy to know where the bottlenecks actually are.

https://t.co/NOCPynJAp0

[Dariush @dariubs]

Awesome CUDA Books

https://t.co/qxmJVaoswX

[AI For Developers @ai4developers]

Claude Code Slash Commands Guide

https://t.co/jMlrAxDpW4