We learned this the hard way after spending weeks building a complex integration that our most active, non-paying community members kept asking for.
Once it shipped, none of them actually used it while our paying subscribers were quietly dealing with basic bugs we hadn't fixed yet. It's so easy to get distracted by loud voices on forums who want everything for free but at the end of the day paying customers have totally different priorities.
How do you decide whose feedback actually makes it onto your product roadmap?
We learned this the hard way after watching people spend hours setting up complex dashboards inviting team members and clicking every single button during their trial only to ghost us on day 14.
Meanwhile, a few quiet users who logged in twice, set up one core thing, and stayed silent ended up converting with zero hesitation. Activity volume doesn't always equal real intent.
If high usage isn't a reliable sign of a buyer what specific milestone or action do you actually look for during a trial?
Having sat on both sides of the table, here are the 3 biggest unforced errors I see, looking at it as both an investor and now a founder:
1. The market size does not hold. Many founders use a top-down approach with questionable data sources to claim a massive TAM. In my opinion, a much more credible and defensible approach is to build your market size from the bottom-up.
2. Trying to do too many things. In the early stages, you can only focus on a few areas, starting with your beachhead market. It is incredibly difficult to juggle product development, consulting, and training revenue simultaneously and still hope the business will scale. Even with AI efficiencies, stretching the team too thin kills momentum.
3. Not thinking deeply enough about the Moat and GTM. A great product does not automatically equal a great business. If you haven't thoroughly thought through your Go-To-Market strategy and why your business is defensible against competitors, the pitch falls flat.
I always aim to raise topics and questions relevant to startups/products and my personal endeavors that others might relate to.
The threads usually start with an intro to the topic, my experience, and, lastly, ask others to share their experiences. I try to structure these parts into clear, error-free sections so that they are easy to read. I have never used AI, for what it's worth.
I ve been thinking a lot about the difference between personalization and real adaptation in fitness software.
A profile with age, goal and experience level is useful, but it still treats each workout request almost like a new session.
A more interesting model is longitudinal: remember what the person actually completed, which movements and muscle groups were trained recently, how difficult the exercises felt, what restrictions exist, and how nutrition has looked over the previous days.
Then the next recommendation is based on that history instead of starting from zero.
I m in the final stages of building a B2B SaaS tool, and I ve hit a wall with the pricing page.
I want to offer a generous free tier to drive adoption, but I m terrified of two things:
Attracting users who will never convert to paid.
Losing out on revenue from users who would have gladly paid from day one.
I ve been looking at how other startups handle this, and I see everything from "reverse trials" (where you get all Pro features for 14 days, then get downgraded) to strict usage caps.
We used to run agile standups, syncs, retros, and status updates every single day. I thought it kept everyone aligned. But by month six, our engineers were spending 3 hours a day just talking about coding instead of actually coding.
Three weeks ago, I went cold turkey. We canceled all daily syncs and moved entirely to asynchronous updates via Notion.
The immediate reaction from managers was panic. Over the first two weeks, a few projects stalled because people weren't used to communicating asynchronously. I thought we had completely broken our company culture.
But when I reviewed our sprint velocity report this morning, our shipped features were up 40%. The team was happier, deep work blocks were respected, and code reviews happened faster without meetings interrupting the flow.
Anthropic is rolling out weekly rate limits for Claude Code on Pro and Max plans starting August 28. They're saying it'll only affect ~5% of subscribers, the ones running Claude Code continuously in the background, plus a handful violating ToS by sharing or reselling accounts.
I used to think every little bug or missing feature meant the app wasn't ready for actual users. Spent three months polishing animations and cleaning up code that nobody even looked at, while ignoring the fact that marketing needed way more attention. That 10% retention rate Juan mentioned is a massive signal if people are sticking around despite the rough edges, the core problem is already solved. Have you ever delayed a launch just because you wanted a screen to look "perfect," only to find out users didn't care about those details at all?
