I am a student and at the starting days of this month, I felt the need of a day planner app to organize my study sessions and goals. Searched for such an app and was unable to find the perfect one. So, as a developer, I couldn't help myself. Started the project planning from this really simple thought - "a table like structure where I could plan my overall day by timestamps and add remarks to each session". After a week of sleepless nights, the final product was ready - it completely exceeded my initial targets and expectations. From day planning and whole day overview reports, D-Day counters to offline support, automatic sync, daily wake-up notification reminders and much more - Yawmly has it all! Would love it if you check it out @Yawmly

Stop losing money to crumpled receipts.

Hello, I'm Jeremy Scherr, an app developer based in Eden Prairie, MN. Every year, millions of Schedule C filers leave thousands of dollars in tax write-offs on the table because tracking receipts is a nightmare. Fading thermal paper, lost invoices, and hours of manual data entry lead to tax-time stress and IRS audit anxiety.

I ve been working on a JetBrains native AI tool called Code Tracker AI, built around a simple question:

Why is understanding code still the hardest part of software engineering?

Debugging, onboarding, reading unfamiliar files, tracing logic these are the moments where engineers lose hours. IDEs give us autocomplete and refactors, but not understanding.

So I m building something that acts like a code intelligence layer inside JetBrains IDEs:

Hi Product Hunt community,

I m Ulugbek, the founder of DiscountHub a live platform for discovering deals, promo codes and special offers through our website and mobile app.

Something we noticed with publishers, content teams, and marketers - there is a very common blind spot in how digital documents get measured.
Nobody really knows which pages held attention, which sections got skipped, or where most readers actually stopped. The production effort was real. The feedback loop was not.

We spent a lot of time sitting with that problem. The question was not "how do we add analytics" - it was "what would actually help an editor or content lead make a better decision before the next edition?"
What we landed on: page-level data has to be specific enough to act on. Knowing that your document had 400 views is not actionable. Knowing that 60% of readers dropped off at page 4, and that page 4 happens to be the densest text page in the document - that is something you can work with.
That thinking shaped how we built this into ZenFlip. The goal was not a dashboard full of numbers. It was a clear answer to the question: what should we do differently next time?

In 2000, Yahoo was the front door to the internet. Then Google's PageRank ate its lunch, and within a few years Yahoo went from "the internet" to "that thing your uncle still uses for email."

It didn't happen overnight. It happened because a better distribution layer showed up.

Now ask the uncomfortable question: what's Google's PageRank moment?

The signals are already here:

Hey Product Hunt,

I'm the builder behind Threelane, shipping it from Dubai.

Why I built it

I make a lot of product demos and tech reels. Every smooth multi-cam tool I tried was either subscription-locked, cloud-locked, or both. Loom is fine for talking heads but breaks once you want a second camera. Riverside is great but pricey and online-only. ScreenStudio nailed cursor zooms but it's Mac-only and paid. Nothing was free, local, AND multi-cam. I got tired of waiting for someone to build it, so I did.

Hi. Building LPD for protecting original documents and creative digital assets.

https://www.producthunt.com/post...

I made a practical system for freelancers who keep losing money to small client requests.

A project starts with a clear scope.

Then it slowly turns into:

I am building a product around relationship-driven outreach, and one workflow keeps coming up: When someone has a goal like hiring, sales, fundraising, partnerships, or career exploration, the hard part is often not writing the message. It is deciding who is actually worth reaching first, why now, and what the smallest good ask should be. I am curious how other makers and operators handle this today. When you are trying to reach someone through your network: 1. Do you start with the most senior person, the closest connection, or the person closest to the context?
2. What makes a first ask feel easy to answer?
3. Where does the workflow usually break: choosing the person, explaining the reason now, finding the warm path, or writing the first message? I am building Netlio in this space, so I am asking partly from product research, but I am more interested in the workflow than in pitching the product here.