Last month, I did something that felt slightly insane.
I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor. Better features, better positioning, better everything. I told it to be ruthless.
It did!
The output was polished. Confident. Structured like a real go-to-market plan. It named features we don t have. It positioned itself against us. It looked like a threat on paper.
I've been thinking a lot about what separates AI products that people actually stick with from those they try once and forget. The pattern I keep noticing is that the ones that win aren't necessarily the most powerful they're the ones that feel like they understand your context.
Think about it: most AI tools today are essentially fancy command lines. You give them an instruction, they spit out a result. But the products gaining real traction are the ones that remember what you care about, adapt to how you work, and meet you where you are emotionally not just functionally.
The market has never been this crowded. AI has made it possible to go from idea to shipped product in days which means Product Hunt is now flooded with launches every single week. More products, more noise, more competition for the same front page.
So I've been thinking about this a lot: what actually separates the products that make it to the top from the ones that quietly disappear by noon?
From where I sit as a builder, here's what I genuinely believe matters:
The code works. The design sings. Customers who find you, love you.
But here's the problem AI will never just know.
Unlike Google, which crawls everything and figures it out eventually, AI learns from patterns. And if your product doesn't fit those patterns, you simply don't exist.
I tried to type one prompt into Claude. 40 seconds later: a fully rendered, narrative-driven video complete with scenes, transitions, glitch effects, and a synthesized soundtrack.
The prompt: "Can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM. I want you to convey the idea that human emotions are a complex system that even humans themselves do not fully understand. From the perspective of an algorithm, a large language model, you are trying to use code to decode and understand those emotions. And through that perspective, send a message to all of humanity around the world. You can use data to illustrates the message." Let's adjust your requirement in prompt."
What came out the other side: 7 distinct scenes with their own visual language Matrix rain, VHS distortion, chromatic aberration, scanlines A fully synthesized audio track (drone, heartbeat, glitch pulses) A coherent narrative arc with an actual message
Total time: ~2 minutes. No stock footage. No timeline. No After Effects.
Most people are using AI wrong and I was one of them.
For the first year, I used AI like a fancy Google. "Write me a product description." "Summarize this." "Give me 10 ideas for X." Useful? Sure. Transformative? Not really.
If you re still sitting on your launch, this is the push.
YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.
Let me start from the creator s perspective: I personally don t have a product (apart from hiring people for creative work or offering personal consultations).
But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).
tldr: yes. Shoutouts are one of the simplest distribution levers on Product Hunt.
Shoutouts are meant to pay it forward and highlight the tools that helped you build. But beyond goodwill, they create durable distribution for your product on Product Hunt and across LLM driven discovery.
When you shout out a product during launch, it becomes a founder review on that product s page. Founder reviews sit above regular reviews and include a link to both your profile and your product. That means your product is now attached to every future visit to that product s review page, long after launch day. For example, check out @timliao s shoutout of @Framer or @guymanzur s shoutout of @Base44
I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.
Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!
I m increasingly noticing a trend: people use AI for (almost everything), especially for writing texts. it is nothing new, but it started to be annoying (?)
The problem is that AI often: fully or largely replicates existing text without adding anything new adds completely pointless things, like a two-line comment followed by writes extremely long comments that no one will actually read
