This all goes back a bit to the era of NFT, virtual reality, when, during COVID, we went to virtual events, had VR glasses and promised ourselves that we would spend more time in some digital parallel reality online.

Well. So Facebook, with a growing portfolio and a new vision, renamed itself Meta.

That it would be the Metaverse.

In a discussion forum with @monatruong_murror , we talked about how AI can help us learn things that aren t naturally familiar to us, like programming.

The biggest challenge was/is:
Getting AI to guide you toward a solution, instead of just giving you the answer.

The builder internet has one dominant religion: ship fast, learn fast, iterate. And honestly? It's mostly right. I'm not here to argue against iteration.

But I've been noticing a pattern in products that actually lasted and it's uncomfortable: A lot of them were embarrassingly slow at the start. Not because the founders were lazy but because they were obsessive about the wrong thing to ship first.

Figma spent years just making the multiplayer cursor work flawlessly before talking about anything else. Notion had a tiny, nearly unusable v1 that they kept showing the same 500 people. Linear said no to mobile for two years while everyone said they were crazy.

We kept running into the same workflow:

draft in a doc paste into ChatGPT get feedback paste it back manually revise

If you re still sitting on your launch, this is the push.

YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.

There are so many launches on Product Hunt every day. How do you decide which ones are worth clicking into?

What s your #1 filter or shortcut?

I ve been testing the 'Free Tier' limits of the 2026 AI landscape. While everyone swears by Claude 3.7 or GPT-5.2, I m trying to find the 'Golden Ratio' for makers on a zero-budget.

My current findings for the Office Bee MVP:

• The Brain: Gemini 3.1 Pro (via AI Studio) seems to have the highest 'Reasoning-per-Dollar' (free) for deep R&D.

• The Frontend: v0 (Free Tier) for shadcn/ui components.

• The Glue: Bolt.new for the initial scaffold.

The Challenge: Most 'free' models hallucinate complex state management in full-stack architectures.

Vibe coding seems to be everywhere right now, people are building apps just by prompting AI.

But I m curious if anyone here has actually made money from something they vibe coded, especially people who didn t come from a coding background.

Hi PH :)

We've had our PH launch precisely 1 month ago, and we're now making a little over $1k MRR.

(could've been around $2k but we had to refund some because product wasn't ready yet)

On Product Hunt, I can see many people launching their products using "vibe-coding tools" like @Lovable , @bolt.new , or@Replit

I reckon many people who created something with them are usually developers who didn't have enough time for building a side idea before, but with AI, they could make it happen.