Arunangshu

Co-founder @vibe3dai

[Arunangshu @arunb24]

Most AI design tools are trying to replace the architect.

I think that’s the wrong fight.

The better version is quieter: take the 20 moodboard references, half-finished SketchUp model, client WhatsApp notes, and material constraints, then turn the architect’s intent into renders fast enough to keep the conversation moving.

That’s the future we’re building at Vibe3D.

[Arunangshu @arunb24]

working on an exciting @vibe3dai update for architects and interior designers. more soon 👀🚀

[Arunangshu @arunb24]

ai rendering has reached a point where it outperforms traditional rendering on both cost and quality

these renders are 100% AI generated using @vibe3dai

what used to take days can now be done in few minutes, while cutting costs by 99%

like, repost, comment “VIBE” and follow

[Ayush Agarwal @ayushagarwal]

we have a new case study out. this one is with @vibe3dai, an AI rendering tool for architects and interior designers.

before switching to @dodopayments, their checkout couldn't handle international payments well. architects from Europe and North America were signing up but dropping off at payment.

after integrating Dodo Payments, their conversion rate doubled. immediately.

they went live in one day. today they have paying customers in 150+ countries. they expected maybe 10-20.

$20K MRR. bootstrapped. three-person team. tax and compliance across 150+ countries handled automatically because we operate as merchant of record.

@erione_ 🚀

[Arunangshu @arunb24]

@pritopian LINK

[Stijn Feijen @spwfeijen]

We’ve officially hit the point where AI UGC is cheaper AND better than real UGC.

This video is 100% AI and cost under $1. (And no, it’s not Sora, Veo, or Kling).

My system is built for mass-scale organic across thousands of accounts. Here is why it wins:

- Hyper-realistic visuals: Natural physics and movement look flawless.

- Insane cost efficiency: Costs pennies compared to traditional UGC programs.

-Consistent audio: High-quality, rock-solid voiceover throughout.

- Infinite scaling: Videos can run to any length cost-effectively.

This changes everything.

Want the WORKFLOW? Check the comments!

[Arunangshu @arunb24]

@spwfeijen @FynCas Want

[Vibe3D AI @vibe3dai]

Editorial by our co-founder @arunb24 on how AI is reshaping the future of architectural visualization. Must-read insights for architects, interior designers, studios, and tech lovers.

https://t.co/TQODeGlDLo

[Brijesh Patel @erione_]

https://t.co/UROpB4NZNS

[Brijesh Patel @erione_]

WE JUST GAVE ARCHITECTS A RELIGHT BUTTON

Relight any 3D render instantly.

Tired of creating the same render again and again just to change the mood? That ends now.

One design.
Infinite lighting moods.
Any time of day.
Lights on. Lights off.
Design stays exactly the same.

Because changing the vibe should just take one click.

Interior designers are going to love this.
Launching soon on https://t.co/FCUZtQlHFR

[Brijesh Patel @erione_]

most architects i talk to are still spending 2–3 days waiting on renders.

they send a model to a rendering farm or use traditional rendering softwares on their system, wait for hours, get something back that looks almost right, tweak it, wait again.

we built Vibe3D because that loop is brutal when a client presentation is in 48 hours.

upload your 3D models from SketchUp/Revit/Rhino/Blender/3DS Max, get a photorealistic renders in ~30 seconds. geometry, materials, textures all stay intact.

the time you save doesn't go to the tool. it goes back to the actual design work and execution of the project.

try it → https://t.co/FCUZtQlHFR

[Arunangshu @arunb24]

@askOkara https://t.co/TjYmvlzgi5

[Brijesh Patel @erione_]

These end to end cinematic architectural walkthroughs were made in minutes using @vibe3dai!

No hassle of animating your renders clip by clip and using video editing software to stitch them together and add background music.

Try it out yourself now 👉 https://t.co/jvcutQMfgu

[Arunangshu @arunb24]

@pierreeliottlal REDDIT

[Arunangshu @arunb24]

@Mho_23 UGC

[Miko @Mho_23]

i should never be sharing this but f*ck it

seedance 2.0 + claude code + tiktok is THE best combo for AI videos

i cracked the formula for generating videos that look hyper realistic & make your audience feel like "holy shit this person gets me"

i'm finally sharing my FULL system with you..

here's what you're getting:
- my prompting method for realistic voices (works every time)
- my realistic human movements & breathing claude skill (this is key for realistic videos)
- my exact method on how to make infinite length videos that maintain consistency
- how to get AI tools for dirt cheap (90% off)

RT + reply 'UGC' and i'll send you the step-by-step system (must follow so i can dm)

[Arunangshu @arunb24]

@romanbuildsaas GTM

[Romàn @romanbuildsaas]

Gojiberry AI just hit $2M ARR.

A few months ago we were at €0.

This is the second SaaS I've built. The first one I sold at €500K ARR.

This time, we moved faster. Here's exactly how we did it, so you can do it too.

The core principle that changed everything:

We used our own tool to grow our own tool.

Gojiberry AI finds high-intent leads and engages with them automatically.

We run it on ourselves. It works insanely well.

Here's the full breakdown:

1) Outreach (the engine)

- LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day.

Only targeting warm leads showing real intent.

Connection acceptance rates and reply rates are insane when you do this right.

- Cold email: 6,000 emails per day. 295,000 sent in 90 days. 900+ opportunities created.

41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max.

Total infra cost: ~$600/month.

The offer is always the same: a valuable blueprint. No pitch. Just value first.

2) Inbound (the compound effect)

- LinkedIn: 6 posts per day across 6 accounts.

6 days/week = lead magnet content. 1 day/week = founder story.

Last 7 days: 788,187 impressions.

- Reddit: 14.8M+ views in 12 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters.

- YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank.

- SEO: 50K visitors/month and growing fast.

3) Paid (we're just starting)

- 3 LinkedIn influencer posts/week (~$500 each).

- Facebook retargeting + acquisition

Scaling paid ads aggressively right now.

4) Demos

5–8 per day. ~70% close rate to free plan. Mostly sales teams.

What actually worked:
→ Using our own tool on ourselves (this alone is a cheat code)
→ High-intent outreach > cold outreach. Every single time.
→ Lead magnet posts on LinkedIn that generate thousands of comments.

One post added $5K MRR in under 24 hours. Cost: $0.

→ Replying to every single comment.
→ Speed. Every delay kills momentum. We removed friction from every step of the funnel.
→ AI helping us do 10x more than we ever could alone.

What's not working:
- We need to delegate. We're currently hiring a founding sales to help us scale to $10M ARR (feel free to reach out if you know someone 😇 )

The path from €0 to $2M ARR is not glamorous.

It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow.

But if you do the right things every day, good outreach, real value, fast follow-up, it compounds.

And one day you wake up and you're at $2M ARR.

The goal now: $10M ARR.
LFG. 🔥

PS : we're about to launch a 0 -> $1M ARR GTM course.
Want to receive it? RT + comment GTM below.

[Nav Toor @heynavtoor]

Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.

The AI picked the ChatGPT version 97.6% of the time.

A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.

Then they asked each AI to pick the better resume. Every model picked itself.

GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.

Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.

It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.

Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.

99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.

If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.

Your qualifications do not matter if the AI prefers its own handwriting over yours.

[Arunangshu @arunb24]

@Jason I'm in