Connect with the Product Hunt community

shipped a bunch of updates today:

featured projects with usdc on base

• you can now promote your project to the homepage carousel using usdc on base chain

• packages: 1 day ($0.50), 3 days ($1), 7 days ($2), 30 days ($5), lifetime ($15)

• integrated privy wallet connect supports rabby, metamask, coinbase wallet, rainbow, walletconnect, and email login

• no stripe, no paypal, no country restrictions works for builders everywhere

mandatory socials

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.

I used to think the hardest part of building a product was building the product.

Turns out, creating superfans is harder.

The real challenge is getting people to love your product:

Two conversations. Same week.

First founder said,
Really interesting product. Love what you re building.

Great energy. Smart questions. Strong validation.

We never heard back.

Early-stage founders often try to improve their product as much as possible and tend to take almost any feedback into account.

Sometimes they end up adding every feature users (even non-paying ones) ask for, even when those features are unnecessary. The product then becomes more complicated and harder to use.

And I m not even talking about the stage when the product is already established. At that point, there are more users, and their expectations start to differ.

We launched Slashit App yesterday on appsumo and completed the first 24 hours since launch.

Here s what happened:
-> $1,033.56 in sales
-> 18 new customers
-> Featured in Top 9 deals
-> 2 reviews with 5

What we did mostly last 24 hours? If I will share this, you will not trust us, yes you will not trust us. We slept 2 hours each. That mean I slept 2 hours and my partner slept 2 hours in this last 24 hours. Still working hard for next 24 hours.

We replied all the questions, support message within minutes. Asked brutal feedback for improvements for our users. Shared possible solution to users that they are facing.

For 20 years, SEO was a human game.
You wrote for people, optimized for Google's crawlers, and built backlinks by convincing other humans to link to you.
The inputs were human. The outputs were human.

GEO is different. You're optimizing for language models that extract and synthesize. The inputs are structured data, schema markup, comparison tables. The outputs are citations, not clicks.

So where does the human fit now?

What the data says about AI's performance:

In most parts of the world, Easter is being celebrated right now, honestly, not really.

Today, I was invited to a weekly meeting despite the holiday.
I had forgotten one fact: Orthodox countries celebrate Easter a week later.
(and countries in the Far East simply don t have this holiday at all.)

This is actually a broader topic, because every country celebrates holidays differently, and with many teams being international, some kind of synchronisation is necessary the question is: how?

When we started building Murror, we did what most technical founders do: we disappeared into code for months.

We built an emotion analysis engine. We refined our NLP pipeline. We designed beautiful dashboards. We were so proud of what we had made.

Hi all,

Launching on PH on Sat went way better than I imagined it would, so thank you!

I've been a professional developer for 10+ years (WordPress ecosystem, and React, TypeScript, Node, the whole stack).

Now I'm building my own SaaS and I'm genuinely torn.

We built a model to generate 1,000 questions that people actually ask.
Not random prompts.
We scraped 50,000 real user queries from search logs, forum threads, and support tickets across 12 industries.
We clustered them by intent and generated 1,000 representative questions.

We asked those same 1,000 questions to 5 AI models: ChatGPT (GPT-4), Gemini (Ultra), Perplexity (Pro), Claude (4.5 Sonnet), and Llama (3).
We ran the experiment daily for 30 days. We tracked every citation at the source level.

The goal: measure citation overlap.
How often do these models cite the same source for the same question?

The dataset:

Just shipped a strong Luzo update.

What s new:

Post-request scripts are now supported

Today's Product Hunt lineup genuinely surprised me in the best way.

TL;DR: As @aaronoleary said  one or more companies launching today will get a YC interview and potentially funding.

Been iterating on Room Service quite a bit recently and wanted to share a quick update.

For over a week, the wider Product Hunt community has been chiming in with their two cents in the discussion about where to draw the line between which product features should be free and which should require payment.

Just yesterday on X, a post started trending about a tool with 35,000+ users, but only just over 1,300 paying customers. The founder was asking the community for advice on how to increase conversions.

We've been analyzing demo funnels across B2B SaaS companies, and the pattern is consistent: the "Book a demo" button creates a 5 9 day gap between peak buyer intent and first product contact.

By the time the call happens, half the excitement is gone. No-show rates climb. Reps spend the first 15 minutes on basics the prospect would've preferred to explore alone.
The fix isn't a better calendar tool. It's removing the wait entirely.

We built Naoma to replace that gap with an instant AI demo live, conversational, running in the browser 24/7. The prospect gets a real product walkthrough the moment they click. We route qualified leads straight to sales.

In early pilots, we're seeing 6 20% visitor-to-demo conversion, which for most inbound funnels is a meaningful jump from the default.

Once upon a time, developing for Apple was an exciting, rewarding challenge. But lately, that relationship has soured.

Apple has transformed into a trillion-dollar giant that sees developers not as partners, but as a resource to control, extract from, and when convenient ignore.

As a measure of the impact of vibe coding and the need to focus on positioning, narrative, and marketing and distribution, I noticed that that 610 products were submitted to the Product Hunt leaderboard today, but only 16 were featured which is less than 3%.

The previous high was just over 500 products in December.

We just introduced Splitzy, the AI bot integration for splitz!
You can interact with Splitzy right inside your group chat. Just mention @splitzy for any questions related to the group
- @splitzy, summarize our spending from this weekend.
- @splitzy, how much do I owe in total?

Splitzy handles the math instantly so you can get back to hanging out

We went live on X, hit 200k+ views: https://x.com/gauravsbuilding/st...
But I have a feeling we can do better on LinkedIn, what's your experience?https://www.linkedin.com/posts/g...?

Hello Product Hunt!

Charlie here, co-founder of Trophy. Since we launched Trophy 1.0 back in Jan we've been continuing to ship new features to Trophy, and March was no exception. One of the biggest updates was the addition of points levels so I thought I'd take the time to share that with you here.

Most people talk about don't sell your app with lifetime deal. But let me talk about "Oskar Moen" today who raised $270,000 in just 23 days.

Honestly, no one talk about how to get investment to grow SaaS. Without investment or liquid money its really tough to build SaaS, market that and get users on that. So how you will build or improve your SaaS? So for this kind of situation Founder should sell product as a lifetime deal. Then they can get huge amount of money for their next step. They can invest that on team, marketing and planning.

Get back to Oskar Moen, I salute to this guy . He launched Sendpilot on appsumo recently. And noticed in just 23 days he raised $270,000 and thats insane . I checked his message on appsumo slack channel how he did this.

Here is that:
1. When a user bought deal from appsumo he asked for a review.
2. When a user asked questions or need support he answered that in just 2 mins avg.
3. After support he mentioned about reviews.

I remember many people getting demotivated after not being featured and leaving the platform.

In my opinion, that's not the best idea.