We weren't accepted into Y Combinator with our ProblemHunt. But I know a guy who got accepted this time. And he made 11 attempts. We'll try to do that too.
My journey in startups began 10 years ago, and I've launched 18 startups, most of which failed. Briefly on why they failed: 1. Contract Online my first startup in 2015, which was supposed to be an online service for remote signing of contracts for any transactions between individuals. A kind of analogue of a secure transaction. For this startup, I even managed to attract a business angel who invested $16,500.
Reason for failure: I had two lawyers on my team who discovered in the process that the legal framework at the time could not provide reliable grounds for protecting our users in remote transactions. The contracts would not have been considered legally signed. 2. Natural Products In 2015-2018, I became very passionate about healthy eating, but in the process, I discovered that products in all chain stores are full of chemicals, and stores with truly natural products are inaccessible to the majority. Hence, the idea emerged to create my own online platform where you could order natural products directly from farmers at affordable prices.
Reason for failure: For several years, I tried to launch this project, even trained as a baker of natural bread and tried to create my own farm, but in the process, I found that few people are willing to pay for truly natural products, even if these products were only 20-30% more expensive than market prices, and not 2-3 times more, as in premium stores. Hence, the market was so small that all my attempts were doomed.
Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.
We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.
Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.
We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.
Curious what you re actually shipping with right now. Which stack are you using day-to-day, and why did you choose it over the alternatives? A bit of context (product type + team size) helps a ton.
If you ve switched stacks recently, what did you move from/to and what pushed the change? Cost, speed, hiring, DX, vendor limits, something else?
A few of us at Product Hunt are putting on our most brutally honest (but helpful!) hats and roasting landing pages for the next two days. Want in? Drop your link below, and we ll give you real, no-BS feedback on:
Clarity Does your message make sense or sound like corporate soup? Calls to Action Do we feel compelled to click, or just leave? Design & UX Smooth experience or rage quit territory? Anything else Tell us what you want feedback on.
