Been deep in the problem of spotting AI-generated or copied answers, and a few things genuinely surprised me. Sharing in case it s useful, and because I d like to hear how others are handling it.
First, asking nicely does nothing. Telling a model, or a person, not to use outside help just gets ignored, the instruction has no teeth.
Second, a single answer tells you almost nothing. One polished response could be real or pasted, with no reliable way to know in isolation. The signal only shows up across a whole session, consistency, timing, how close the answer sits to what a tool would generate.
Third, follow-ups are the real test. Pasting one good answer is easy, but holding it up through two or three why s is where the rehearsed stuff falls apart.
For me, marketing is the toughest phase of saas journey. With my first saas, I was very confident with it and thought of adding all the features before launching. But, marketing was something I did not even think of, not even once. Th result, I closed it after working sometimes realizing there was no actual market for the saas and that I liked the idea without doing any market research.
For me, marketing and distribution includes saas submission on directories, talking with your customer on platforms like reddit etc. and running ads when you have some traction. SEO, affiliate marketing etc. are later or optional things which could be added anytime.
Somewhere along the line, every business decided they needed to be a monthly recurring subscription. And for a while, consumers just went along with it.
But "Subscription Fatigue" is very real right now.
I sat down last weekend to review my bank statements and realized I was paying over $300/month for tools and services I barely touch twice a year. I canceled half of them in 10 minutes.
been thinking about this a lot lately. most marketing advice i read online asumes you can just post on twitter and get 1000 followers overnight. that's not how it works here in Bangladesh.
so i'm curious. if you're a maker from a smaller country or non-english market how did you actually find your first users? did you launh on product hunt, post in local commnities, cold email, something else?
Anyone here building something around sustainability? I ve been browsing for a while and haven t seen many products tackling climate change or other global challenges.
I've been sitting with this question for a few weeks and I can't shake it.
If an AI agent can find the prospect, write the email, personalize it by vertical and persona, follow up three times, and log everything in the CRM - what exactly is a GTM team doing now? The easy answer everyone reaches for is "strategy." But AI can already A/B test messaging, read pipeline patterns, and shift targeting in real time. That answer gets thinner every month.
Numbers can look fantastic on paper while your actual product is driving people crazy behind the scenes. We tracked high usage on a new update and thought we nailed it, but watching just two people try to navigate it live showed me every single flaw we missed. Spreadsheets don't show you the frustrated sighs or the pauses where people get stuck. How much weight do you give to raw data versus actually jumping on a call to watch how someone uses your app?
