Hey PH! We're offering a freemium service in B2B (https://axolo.co, we help tech teams working on Github and Slack reduce code review time). Most of our features are included in our free plan and we started last week our premium plan for companies looking for more customization. Right now, my main question for our upcoming features is to decide whether each feature should be in the free or the premium plan. Do you have any advice?
I'll say it bluntly that running a business is not as easy as it is presented on the Internet. You have to come up with a good and useful idea, and even then, you don't win.
You can only see the results after a long time. Not everyone can do it for a long time. To do it, you need to have a strong motive. For some people, it may be a family tradition, for some, money.
Hi, makers! I'd love to hear about your experience with the audience-led approach and what are the best practices that you've discovered? Did you build an audience before launching your product/s? Which platform/s have you focused on to build an audience? And what kind of content have you created? Thanks!
Teachable is an online platform that enables creators to earn a living from their knowledge. We helped 50,000+ creators teach over 50 million students and earn over $1B+ in the process. After Teachable was acquired in 2020 by Hotmart Technology, I started Vibe Capital -- a venture fund to invest in early-stage technology companies worldwide. Here to answer any questions regarding starting a company, fundraising, starting a fund, and/or everything about founder mindset! AMA
Credits look like a solution to variable cost. They're really a way of moving the variance onto the user without telling them.
In Arteza a quick edit and a full multi shot render are about 12x apart in what they cost us to run. Both are priced in the same unit. So someone learns an exchange rate from the cheap action, builds a mental model, then spends a third of their balance in one click and feels robbed. That isn't a pricing bug. We asked them to hold a cost model in their head that we never showed them.
What's worked is putting the credit cost on the button before the click instead of in a docs table. Boring fix, and it cut the where did my credits go messages more than any price change we made.
The part I haven't solved is failures. A bad output still burned the compute. Refund it and people retry until they like the result. Don't refund and credits feel like a slot machine. We refund and eat it, which won't scale.
We use AI to improve something in the process (mostly to speed up the process).
But whenever I see and suspect that something is generated by LLMs, I feel that the person on the other side has slopped it a bit (and subconsciously I perceive it as "something less").
When someone asks for a feature, it's tempting to assume they've already identified the solution to their problem.
But sometimes the request is only one possible way to solve something deeper.
For example, a customer might ask for another dashboard when what they're really struggling with is knowing which information deserves their attention.
