Hey everyone! I just realized I ve hit a 100-day streak on Product Hunt! It s been such a fun ride scrolling through launches, seeing all the cool stuff people are building, and learning so much along the way. Honestly, it s crazy how consistent I ve been because I m usually the type to forget after a week. But here we are at 100 days! I d love to hear: How do you stay consistent with your streaks or habits?
Any recent products you re loving that I should check out?
This community is awesome, and I m glad to be part of it. Here s to many more days of discovering cool things together!
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.
Six months ago, our team got swept up in the AI hype. We decided to spend 12 weeks and a huge chunk of our runway building an automated AI assistant into our SaaS platform. We thought it would be the ultimate selling point and double our signups.
Last month, we launched it. The result?
Our signup-to-paid conversion rate actually dropped by 15%.
Only 8% of active users clicked on the AI feature in the first two weeks.
We got 4 support tickets from users saying the new UI was "cluttered" and confusing.
I finally talked to some of our long-time power users to figure out what went wrong. One of them said it perfectly: "I don't want an AI to write my reports for me. I just want you to fix the CSV export bug that I've reported three times."
We probably spend less time online during the weekend since we take a break from work and want to enjoy time with family and friends, go out, and relax. Understandably, fewer people are available to support our product over the weekend. Here are a few things that might help: Request follows for the "Notify Me" page well in advance. Use a more private email for notifications instead of a work email, as people are less likely to check work emails over the weekend with work emails, they ll see them probably on Monday. Send two messages to be safe: one a few days before the launch during the workweek and another right on the weekend. Engage with users who have the highest streaks those who open the app daily, even on weekends. They re more likely to support your product. Be active on social media and talk about this launch. Would you add something?
We launched Nimply (AI agents that draft social media replies and posts; you approve before anything goes out) on 23 Sep. Here is what the 24 hours actually looked like, with numbers, because most launch retros only show the wins.
It s practically gospel, especially if you want to raise money.
But I ve met plenty of founders who started solo and stayed that way. Some thrived. Some flamed out. Some figured out how to build a support system around them without giving away half the company.
I'm creating a fitness app that uses AI on @Lovable, and I'm also testing it myself.
I use the app daily to check its functions, how it works, and the exercises. If I find something strange or think of something new, I record voice memos with issues, changes, or improvements. I act as both the product manager and a user. Later, I listen to these notes and make the changes.
I initially thought of AI as a way to save time on the work I already had. Lately, I am spending some of that saved time doing things I would previously have left alone because I didn't have the skills, budget, or time for them.
For me, that has meant:
Building automation scripts, including one to generate release notes
Creating workflows using tools like Zapier
Putting together working prototypes before building the final version
