Building an MVP is no longer the bottleneck since code creation has shifted entirely. Today, the real challenge is capturing early attention.

I am currently looking into engineering as marketing, specifically launching a free, standalone utility before shipping a core product.

From what I am seeing across communities, here is what the tool stack looks like right now.

The Core Stack

Email & Capture: Mailchimp for launch updates and email sequences . Carrd for quick, clean launch-specific landing pages . Pre-launch tools like LaunchBuddy and Prefundia to build a waitlist and gather early feedback before you even hit the Product Hunt button .

Social & Scheduling: Buffer or Hootsuite to keep a consistent presence across X, LinkedIn, and Threads without it taking over your entire day . Canva for generating graphics that do not look like you threw them together in five minutes .

Hi,

The Tiny A/B Test launch on Product Hunt and it was successful because of you, thank you!

A few days ago, we launched mailX by mailwarm (YC S20) on Product Hunt. We finished #2 Product of the Day.

And today, we re launching @Mailwarm2.0.

The obvious value of Product Hunt is visibility: traffic, followers, backlinks, social proof, maybe customers.

But honestly, the part I m starting to value even more is the GTM learning.

I recently came across what the majority calls "vibe coding" and I am addicted. As I am a marketing guy, I couldn't resist in creating not one, not two, but 8 apps, which are basically systems to solve my own problems and frustrations.

However, I couldn't help but notice that all these tools are far from perfect. Lovable, Replit (which I use extensively now) say they did something, but in reality, they made only the surface.

Hi! I'm building my first solo project. I'm not a dev, but surfing the big wave of vibe coding last year I built MasterPlan AI: an all-in-one tool for paid media professionals using AI builders without spending a single penny on them.

It s now in the final stages and I m preparing to launch on Product Hunt.

If you run paid campaigns and want to try it early, please join the waitlist on the landing page or contact me for a beta tester seat your feedback would help me a lot.

A/B testing is supposed to systematically isolate winning and losing acquisition funnel content.

My biggest struggle, by FAR, is understanding why people bounce from my landing page after clicking through my ad.

Early-stage building is full of hacks and sometimes the fastest, scrappiest experiments teach you more than months of proper work.

I ve heard of people testing demand with:

• A fake door sign-up button that went nowhere (but proved interest)

• A quick landing page with nothing behind it

• Cold DMs to potential users with a mockup

• Even just a Google Form dressed up as a product

Hey Hunters, I know that user feedback is very important when building a product, especially for startups. The problem is, I m still figuring out the best way to collect it effectively.

Right now, I m debating between:

Email: Sending out direct emails to users. But how should I structure them? Short & casual or more structured surveys?
In-App: Using a widget or pop-up inside the app. But where and when is the best moment to ask?
Feedback Tools: There are so many. Which ones are actually worth it?

I m building landing pages for my next product and exploring AI UI tools that actually help ship faster.

Curious to hear what s working for you from the apps like Lobable or v0

I've tested both and cannot choose what tool is better to buy. Maybe there are better tools?

I've been in social media marketing for nearly five years, but with AI advancing, I suspect my role in ad setup may soon become unnecessary.

I used to set up promo campaigns manually using native platform tools (which already applied some AI, like automated texts or ad placement, viz. Facebook Business Manager).

Building Probado Customizable MVP feedback powered by vetted testers & AI (free tests for early users!)

Body:

Hey Product Hunt!

I m Baltazar, a rising freshman at Babson College, and I ve been working on Probado a feedback marketplace designed for early-stage founders who want to test smarter, build faster, and waste less time guessing.