M. Hossein Mojtahedi

788 posts

M. Hossein Mojtahedi

M. Hossein Mojtahedi

@MHM5000

Some guy with a lot of passion for science, sci-fi, startups, web development, artificial intelligence, astronomy, physics and math.

Katılım Haziran 2008
939 Takip Edilen152 Takipçiler
UI/UX Savior
UI/UX Savior@UiSavior·
Skeleton screens (A) vs. classic spinners (B) for loading states – which wins in UX?
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NIJ Ruvos
NIJ Ruvos@nahidulislam404·
Nano Banana + MakeUGC + Veo3 = AI content Factory This agent pumps out hundreds of ads daily — fully automated. - No $300 creators - No $10K/month agency fees - No products Comment “Nano” and I'll send it for FREE! (must be following)
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Noah
Noah@NoahKingJr·
Small accounts happiness 😊 Anyone with me?
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Brett
Brett@BrettFromDJ·
I turn away a lot of work at Designjoy, either because I don’t offer it, or I’m fully booked. If you’re available for freelance gigs, drop your name + what you do below. Projects are typically in the $5k-$20k range. DMs are not allowed, and I’m not interested in commission.
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Nozz
Nozz@NoahEpstein_·
Just leaked 110+ plug-and-play n8n templates that multiple industries are paying me $10K+ for. Your weekend project: Pick any industry, copy-paste a workflow, start printing money. The vault includes: - Real estate lead machines (sold to 2 companies) - Automotive inventory bots - YouTube-to-TikTok content farms - E-commerce customer journey automations - SDR agents that close without you - Healthcare patient follow-ups - Legal document processors - Social media engagement bots From study agents (because fuck school) to manufacturing systems - every industry that prints money is covered. The difference: These aren't broken templates with outdated nodes. They're battle-tested, profitable, and actually work in 2025. Half sold for serious cash. Half are experiments that became goldmines. All are ready to deploy. Follow, RT + Comment "vault" and I'll drop the entire collection before my accountant kills me for giving away the farm. (Sorry to every consultant charging $10K for basic automations)
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Valdo
Valdo@reachvaldo·
DeepSeek + YouTube = $30k MRR FAST. But 98% of beginners are struggling to create content. So, I created a FREE Masterclass that shows you exactly how to use DS to pump out VIRAL VIDEOS daily. To get it simply: like + comment "YT" & I'll DM it to you for FREE
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SendOwl
SendOwl@SendOwlHQ·
Digital products are easy to build. Most people just don’t know have ideas. So we collected 97+ digital product ideas for 2024. And for the next 24 hrs, they're FREE of charge! To get them, simply: 1. Like 3. Reply "SEND" 3. Follow us (to receive DM)
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Adrian | The Web Scraping Guy
Adrian | The Web Scraping Guy@adrian_horning_·
I just scraped 2.8 million companies from crunchbase 🤯 Name, website, semrush stats, etc. I'm giving the entire thing away in the next 24 hours Comment "crunchbase" and I'll send it to you. Make sure DM's are open
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FacelessPrinter
FacelessPrinter@FacelessPrinter·
"You need a lot of subscribers if you want to make money on YouTube" BS. I have a list of 100 small Faceless YouTube channels and they're making $5,000/mo → $100,000/mo Want the list? Just retweet and comment "LIST" and I'll DM it to you. (Must be following for DM)
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FacelessPrinter
FacelessPrinter@FacelessPrinter·
If you make a Faceless YT channel today you could be making $10,000/m before 2025 (look at the image, that's my channel) retweet & comment "faceless" and I'll send you a 12-page guide to help you get started (must be following so I can DM)
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Fletcher
Fletcher@KeyOsc·
@james_almeida Render time isn't the bottleneck here - all the other aspects of making the movie take much longer. So spending time and money improving the render process would be a waste of resources they could use better elsewhere.
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LaurieWired
LaurieWired@lauriewired·
Pixar doesn't use GPUs (much). Their render farm compute is mostly CPUs with a ton of cores + memory, using AVX-512 and SSE 4.2 optimizations when appropriate to optimize render time. Why? GPU render compute doesn't speed things up as much as you might expect. Yes, in certain instances, you can get a 3-4x benefit, however you have to fit all the polys in GPU memory. Paging back out to system RAM brings you back down to CPU speeds. Scenes can often contain > 150,000,000 polys. Only very recently have gpu memory sizes gotten big enough to be "worth it" over CPU rendering, and even then, it's often less flexible/tolerant of mixing older architectures in the cluster.
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Natia Kurdadze
Natia Kurdadze@natiakourdadze·
Company names be like: Thing Thingly Thingsy Thingify Thingwise What else? 😅 #buildinpublic
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Niels Hoven 🐮
Niels Hoven 🐮@NielsHoven·
How it started vs. How it's going
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