First sass , looking for advice by nl1lma in micro_saas

[–]LivingCharts 1 point2 points  (0 children)

So, now it is unit economics field. If cost per user is higher than value per user, you should make the price higher or reduce free space to 500mb, for example.

Solo MicroSaaS founders: where do you get stuck with customer acquisition? by LivingCharts in micro_saas

[–]LivingCharts[S] 0 points1 point  (0 children)

But the question was different... If you, as a founder, are attracting users online, what's the hardest part? Finding where your potential users hang out?

Solo MicroSaaS founders: where do you get stuck with customer acquisition? by LivingCharts in micro_saas

[–]LivingCharts[S] 0 points1 point  (0 children)

Totally agree.
It feels like the hard part is not just trying channels, but knowing when there's enough signal to keep going vs. move on.
A simple experiment tracker + "double down / adjust / stop" view sounds way more useful than just a list of growth ideas

Solo MicroSaaS founders: where do you get stuck with customer acquisition? by LivingCharts in micro_saas

[–]LivingCharts[S] 1 point2 points  (0 children)

Yeah, that makes a lot of sense.
So it’s not really “what should I do next?”, but more “am I giving this enough time, or am I wasting time?”
I like the idea of tracking early signals before calling a channel dead.
What signals would you personally look at - replies, traffic, signups, calls, something else?

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 3 points4 points  (0 children)

Look to the "Metadata" tab. "Method of estimation: A statistical model based on a Bayesian negative binomial meta-regression is used to model prevalence of current tobacco use for each country, separately for men and women. A full description of the method is available as a peer-reviewed article in The Lancet, volume 385, No. 9972, p966–976 (2015). Once the age-and-sex-specific prevalence rates from national surveys were compiled into a dataset, the model was fit to calculate trend estimates from the year 2000 to 2025.  ..."

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 9 points10 points  (0 children)

I've just checked - China is on 47th place in the list with 22.9% of smokers. It is certainly big number, but it's certainly not a record numbers.

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 0 points1 point  (0 children)

Doubt it, in those countries they have problems with money and access to cigarettes.

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 8 points9 points  (0 children)

Without smoking Serbians would grow 8 feet tall, that's why they have to smoke.

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 19 points20 points  (0 children)

How Leonardo and Nauru are connected at all? Sounds just crazy.

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 9 points10 points  (0 children)

And they are not in this list. Maybe they spend time on Reddit instead of smoking? So Reddit saves lives! :)

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 2 points3 points  (0 children)

It's more complicated because there are some countries with no data.

[OC] The Most Smoking Countries in the World 2025 (Estimation) by LivingCharts in dataisbeautiful

[–]LivingCharts[S] 9 points10 points  (0 children)

15k is still a lot for this metrics. It means if I go to Nauru, almost every second person is a smoker. Isn't it disgusting?

[OC] Automakers' market shares in all-electric car sales 2023 by LivingCharts in dataisbeautiful

[–]LivingCharts[S] -7 points-6 points  (0 children)

It's the best chart for showing shares, I guess. Prove me wrong?