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?
Share the name of your product, a brief description of how it will help the community, and your launch date, and let's support each other and hunt together. Let's get connected on Linkedin: https://linkedin.com/in/boyuan_qian
X (Twitter): https://x.com/boyuan_qian
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.
The problem we're solving is one most engineers have lived but rarely talk about openly real customer data ending up in staging environments, CI pipelines, and demo setups because there's never been a fast enough alternative to just copying production.
I m preparing for my Product Hunt launch and honestly, I m stuck on the pricing strategy.
I'm building LeadSight, a sales tool that instead of just pulling from a static database, it uses (very) deep AI research to "fish" for leads based on hyper-specific signals: things like sustainability commitments, infrastructure groundbreakings, or regulatory shifts, whatever signal makes sense for the user's offering. It will find between 2 and 5 leads per day, with recent strong signals.
The issue is that running this level of AI research for every prospect is pretty expensive. Each lead essentially costs me money in compute and tokens.
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.
