Whats up with this huge upvote panel taking up half the screen lmao? (The navbar/header is also a bit big but whatev). Also your Launch Guide is messed up some of the markdown isn't rendering and the section titles show the hashtag markup ###Section title, and there isn't any line break between the title head and the content. You're ProductHunt WTH?

Working on a project that I will be submitting to the Muse platform for soon, but I'm curious to know if anyone has already gone down this route and what they've learned. I will report back when I learn more if others are curious.

I ve been trying different tools to find competitors for my product, but most either show irrelevant results or miss similar products entirely.

Curious how other founders approach this. Do you rely on tools, Google searches, or manual research?

I m also wondering if there s a better way to solve this. Would love to hear your thoughts and recommendations.

Lately I ve been thinking about how hard it s become to choose well.

Almost every category now feels overcrowded agencies, SaaS tools, AI products, consultants, even simple productivity apps. On the surface, there are more options than ever. But instead of making decisions easier, that abundance often makes everything feel noisier and harder to evaluate.

LinkedIn, their site, their pricing page, their careers page, a podcast they were on, Crunchbase, two competitor tabs, my notes doc, and four tabs I genuinely don't remember opening.

Then I write three sentences.

I stopped working this way a while ago and I want to know if everyone else did too.

Hey PH Fam!

We're all seeing AI transform industries, but are we looking deep enough? I've been thinking about applying first-principle thinking to identify areas truly ripe for AI disruption going beyond automating existing tasks to fundamentally reimagining solutions.

Instead of asking 'How can AI make X better?', what if we ask:

1. What is the core human need X is trying to solve?

2. What are the fundamental limitations of current solutions, pre-AI?

3. If we were to solve this need from scratch today, with current AI capabilities (LLMs, generative models, etc.) as a core building block, what would it look like?

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