We re building an early-stage platform around a simple belief:

People are more than a r sum , a short bio, or a list of links.

Today:

• LinkedIn shows your professional side

• Linktree shows where to find you

• Portfolios show selected work

• Social platforms show your latest posts

We re all builders here, which usually means at some point we looked at something clunky, slow, or frustrating and thought, there has to be a better way. Most products don t start with a grand vision; they start with irritation, curiosity, or firsthand pain.

I d love to learn more about how others here have navigated that journey:

How did you uncover the problem you decided to work on?
What signals told you this problem was worth solving?
How did you validate (if at all) whether people would actually pay for a solution?
Has your product stayed true to the original problem, or did it evolve into something different?
What surprised you the most along the way?

I m building Klozra, an open-source memory layer for AI builders.

AI tools are powerful, but they forget what you re building. ChatGPT, Claude, Cursor, Gemini, and local models all help in different ways, but your project context gets scattered across sessions and tools.

Hey Product Hunt community,

We just launched TransferSecure - a file transfer service that lets you send files up to 5 GB for free, no account needed on the recipient's end.

A few things we focused on that most transfer tools skip:

• Every file up to 200MB is virus-scanned before the download link activates

• Files are encrypted in transit and at rest

• Links auto-expire and files are permanently deleted after expiry

• No forced sign-ups - just verify your email and send

I didn t realize how expensive the #INBDE process was for dental students until someone close to me started studying for it. The exam itself cost over $1,000 and prep materials can easily add hundreds more.
So I built Teefs Prep
https://www.teefsprep.com
Before AI, building a product e2e, even for highly skilled engineers was quite daunting. Code was never the barrier to entry but building a full-stack application, by hand, was time consuming.
That isn't to say you can't one shot an application over the weekend. Building a tool or an app that's well thought-out and scalable still requires a lot of time and energy. But, time to execution has significantly shrunk.

Engineers have now, more than ever, stronger levers to build their own tools, apps and businesses much more efficiently. I started Teefs to address a problem I saw with current study solutions for the INBDE, a high up-front cost to students. And, I've managed to build the app and run it at very low monthly costs, less than $100.
If you're interested in education tech or you are already a #dentist and want to help improve our questions as an editor, I'd love to hear your feedback.
One thing I ve always liked about the software community is how much knowledge is shared openly. A lot of the tools we use every day exist because people decided to build and share them. So, why can't INBDE prep work more like that too?

One of the things I enjoy most while building VertoX is seeing the technology improve week by week.

Patrick Lumban Tobing, our AI/ML Engineer, recently integrated Qwen3-TTS Streaming into our Streaming Speech Translation framework, and honestly, it s exciting to watch everything slowly come together.

Lower latency.
More natural voice output.
Better real-time multilingual communication.

There s still a lot to improve, but seeing the system evolve like this is a great feeling.

So here's what happened. We were running campaigns, watching our click metrics climb, feeling pretty good about performance. Then we started digging into where those clicks actually came from.

Half of them were bots.

Not simple ones either. Headless browsers mimicking human behavior perfectly. Selenium scripts automating clicks at scale. Click farms using mobile devices. Advanced stuff rotating IPs, spoofing geolocation, faking mouse movements, generating realistic referrer patterns. Fingerprinting evasion. Timing tricks. Some were so good they looked completely human.

We realized most link tools just count clicks. They don't ask if those clicks are real.

Makers, we are all too close to our own products. I see so many brilliant tools launching with headlines that are way too tech-heavy or confusing for the average user. Post your current landing page headline below and tell me exactly who your target customer is. I ll reply with 2 or 3 cleaner, high-converting copy alternatives as an English major.