How often should SaaS founders review competitor changes?
Before launching, most founders study competitors carefully. After launch, product work takes over and that research quickly becomes outdated.
I am exploring a workflow that watches a small, fixed set of competitors and reports meaningful changes in pricing, features, positioning, and integrations every couple of days without creating constant notification noise.
Hunter vs. No Hunter: Did a Big Name Actually Make a Difference?
I ve seen so much advice about partnering with well-known Hunters for your PH launch. But does it really move the needle? Anyone have real numbers or war stories? Also, how to find and approach them?
We tell chatbots things we’d never put in a search box
Yesterday I checked a month worth of conversation with one of my AI (yes it was claude).
This month alone i shared with Anthropic my blood test results to figure em out and some legal contracts (back and forth) that I wanted to revise both manually and thru mr claude to double check. Those were the most sensitive ones among other information i sent within conversations. Search engines already knew a lot about me, i see that from ADs tailored to my preferences. Companies like this go beyond knowing your liking, with context, including private things.
I don t necessarily think that makes anyone a villain, as this is roughly the same trade we made with email and maps and photos, and most of us took it (I did at least) without much hesitation. What I notice is that I never actually decided how I feel about it, as it is me who decides what to share with them (more or less). So my question to you is where s your line? Do you think about what goes in, or is this a trade you ve already made? If none of it left your machine, what would you ask that you don t ask now? (you don t have to be specific haha)
How would you build the "perfect (personal) news feeds" tool? Or there's an AI saving you already?
Hey Product Hunt family!
Wanna hear your thoughts on tools for news feeds or news digest!
Announcing the GPT-6 Astra Challenge Winners!
What a turnout for our GPT-6 Astra Challenge with @OpenAI!
5 teams rocketed to the top , winning $10k in OpenAI for Startups API credits and 1 year of ChatGPT Pro.
How do you safely clean up legacy code without breaking hidden dependencies?
Cleaning up technical debt feels satisfying until you realize that mysterious piece of ugly code was actually holding the whole feature together.
I used to delete anything I didn't immediately understand during a refactor thinking I was being efficient. Now I've learned the hard way that messy code doing vital work looks identical to code doing nothing at all if you don't check git blame first.
What's your current routine before you hit delete on a large block of legacy code?
How do you stop your product from turning into a complex maze as you try to scale upmarket?
Every time we moved upmarket, enterprise prospects asked for more integrations, more roles, and more settings. Before we knew it, our clean and simmple tool started feeling heavy and intimidating to solo founders and small teams.
The hardest part is accepting that you cannot build a product that serves both solo creators and Fourtune 500 companies equally well.
For teams that faced this fork in the road: how did you decide which market segment to finally double down on?