One random conversation can completely change your life.

That s probably one of the biggest things I ve realized while building a startup.

One conversation can lead to a huge idea.
One piece of feedback can save you months of mistakes.
One person can introduce you to hundreds of others.

That s why I think it s so important to talk with different people, hear different opinions, and stay open to advice and feedback.

We built 28 apps before we built Attribr.

And for most of them, we had no idea which marketing channels were actually working.

Downloads were happening. Users were coming in. But the link between "we posted this" and "these people signed up" was always a guess. Gut feel dressed up as strategy.

So we built our own attribution SDK. Lightweight, privacy-first, zero third-party dependencies. Drop it into any iOS or Android app in about 10 minutes and start tracking installs, attribution sources, and 30-day retention from day one.

Hey PH community!

Just shipped a free QR Code Generator & Reader on EaseToolz!

Generate QR codes for any URL, text or contact info

Scan & read any QR code from an image

The problem: reading the same story across Reuters, Bloomberg, CNBC, and Axios every week was eating me alive.

Four different angles. Four different spins. You have to read all of them to know what actually happened.

That's not writing. That's archaeology.

Newspatchd connects to your RSS feeds, reads everything, finds the through-line, and drafts your newsletter in your voice.

Hello everybody!
Let me tell you a quick story. It s basically the reason why I m here talking about my saas apps.

I ve worked as a freelancer for more than 20 years in marketing and online business, helping both small companies and large clients, including investment firms and health companies. For many years, things went really well.

But at the end of 2022, things suddenly started going south.

Companies began declining my offers more often than accepting them. The most common explanation was: We decided to do things internally to save money and have more control.

Maintaining a "human" touch in a world saturated with AI automation requires a shift from efficiency to empathy. While AI can handle repetitive tasks and data processing at scale, it cannot replicate genuine human intuition, shared experiences, or the nuances of emotional intelligence. Many founders make the mistake of automating their entire customer journey, only to realize they have built a "cold" product that lacks soul.
The key lies in using AI to handle the heavy lifting behind the scenes so that your team has more time for high-value, person-to-person interactions. Authenticity is becoming the ultimate premium, and the most successful products will be those that use technology to enhance, not replace, the human connection.
We ve seen too many "over-automated" products lose their identity lately, so I m curious about your approach. How do you decide which parts of your user experience should remain strictly human-led, and which are safe to hand over to the bots?
Let me know your opinions in the comments below

Hello world! I'm starting this series of examples/use-cases of siterows.com, the new app I recently built. Without further ado...
Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits.
Today's question: "How do I call the SiteRows API so I can automate web extraction tasks?"
Below is a simple Python example/response, and I'm also saving all examples in this GitHub repo: github.com/sgt-oz/SiteRows
Thanks, everyone. Please don't hesitate to reach out with any questions or feedback.

Hey Product Hunt
We're live today with Ailoitte: Outcome-Based Engineering.

Since 2017, I watched founders pay $280/hr to agencies that delivered invoices, not outcomes. Timelines slipped. Budgets ballooned. The client always absorbed the risk.

So we flipped the model.

Every Ailoitte engagement is fixed-price, delivered by an AI Velocity Pod activated in 48 hrs, with milestone demos every 2 weeks; you pay when working software ships. If we overrun? We absorb it.

Running a SaaS, you realise fast: you need different landing pages for different customers. Enterprise doesn't convert the same way as SMB. Your startup vertical needs different messaging than fintech. New campaign? New page.

So you either:

• Wait on design/dev (weeks)

• Use templates (all look the same, didn't feel like us)

• Build them manually every time (soul-crushing)

What s the biggest problem you face while building your startup?
For us at VertoX, one of the biggest challenges is resources and infrastructure complexity.
Real-time multilingual voice translation at the level we re trying to build simply doesn t really exist yet.
That means we constantly deal with difficult architectural decisions, GPU limitations, latency optimization, model selection, streaming infrastructure, and figuring out what actually works at scale.
In some ways, it feels like we re building technology where there is no clear roadmap yet.
And honestly, I think that s one of the hardest parts of deep tech startups.
Curious what other founders struggle with the most while building.
Maybe someone reading the comments will avoid a mistake because of your experience.