It took me some time, but I just published an article on exactly this questions - how machine learning is helpful to improve customer retention: ml4all.com/customer-lifetime-…

Hi Dennis,

I'm addicted to the indiehackers-podcast, so probably your target-audience :). I like the idea and concept and see a market. I am in general interested in your interviews.

I read one interview for a few paragraphs.. then went somewhere else. The internet today is not very friendly to long-form text, I'd say... Too many distractions.

I believe I would perceive your content as much more valuable if presented in better digestible format
- smaller paragraphs
- subheadings
- original quotes
...

Also... As you anyways do these interviews - wouldn't it be feasible to make a podcast out of them directly? You still can use the transcript for seo-purposes.
And I think video-interviews would be even better. Make one interview, distribute video, podcast, transcript.

E.g. - If and when you build your CLV model, ML can help you to have an individual CLV per user. I have an article on CLV and plan to write part two where I explain in detail how ML can help here

For me the core and center for every retention-centered business is CLV/LTV

You tell me - but in my humble opinion retentions your super-over-goal..

if you get just this one right, but f**ck up acquisition and referral you'll still be fine.

Simple but effective -
1. Calculate average CLV
2. Calculate statistical remaining CLV per user
2a. Your model needs to attribute for social impact / "referral strength" or something alike
3. Build simple model to estimate risk on each user
3. risk * remaining clv gives your priority

Decide every day - what should I work on? remove the highest risk..

I love the idea!

Shameless plug.. I built ml4all with exactly your thought-process in mind. Although early-stages and many features missing, it's functional. Whatever data you collect, you can quickly stick in in there and see what works. While often that might not be a big surprise, you have now data-validated facts instead of gut-feeling. And sometimes there are surprises.

You ask me to follow along - promised - I will! :)
This is exciting!
Cheers,
Jonas

Hi Artem,

I looked at your intro-text and the word "machine learning" rang a bell with me - as someone who works on ml everyday myself. Glanced your landing-page - looks very professional - check.

.."you'll actually use.." - let's see.
I Click "Sign up for free.." First I wanted to login with github, then I didn't want to give you access to all my repos - why would I?

In the meantime I got distracted by your little "We're live on ProductHunt"
I read a bit of your story - wow 2 years, the science of productivity... reads like something solid.

I commence to login/signup with Trello
I download the Desktop app.
I click add task and want to go working
It doesn't let me - "You need to estimate your time" or something alike.

..That's where you "lost" me..

It's really a personal thing and for many it will probably be an awesome tool. It looks and feels all very professional, well engineered and thought through.

However I believe I can only use your tool if I "obey" to your tools' workflow.
- log all time (I don't want to log my time)
- Estimate every task
- Plan the work and work the plan

It became kind of a principle to me that I evade all tools that require me to adapt - I seek, use tools that adapt to me.

Sorry, I think I sound harsh - but you asked to be roasted :)

I have been promoting and executing all of this quite strictly in the past - imho my attention/focus-system is well trained / worked out.

Now that I AM trained - the most productive thing for me is a simple todo-list. It takes split-seconds to tick-off things, review my current list and few seconds to add new things. It seamlessly integrates with notes, links, content. It's the by far fastest way to do my planning.
I use notion.so for that.

Your tool belongs into "Extended project management tooling" for me. I might reconsider it for my day-job where I work with teams. For personal productivity it's not my cup of tea.

Hi Stefan,

I recently (~6 months ago) learned frontend development using quasar/vue.js and with that became a "full-stack"-developer. since then it has made me complete so that I could actually start indiehacking =) the proud fruit of my work can be reviewed here: ml4all.com

Feel free to send along your questions - if email, why not [email protected]

Hi Russell, thanks a lot for the helpful review!
I wasn't around for a while and didn't see it.
The details (like customer reviews) were / are mising because the landing page "sold" a product that was not even started..

By now I have partially abandoned the idea / pivoted.

Still I DO learn from your thoughts.. thank you!

Thank you Edwin, very helpful. Great that you like the guy on the mountain :) Pricing and specifics missing - I read you, am working hard to figure this out right now ;)

Nope, didn't find Clearbit yet, thank you! I know Salesforce, found Salesmachine and basically think these people might be happy for my help :)

I don't know if you waste your time explaining details about the theme, because (as you quickly figured out) I just picked the first one that looked decent for the use case. But sure - yes I'm interested!

"proof" - like customer reviews, recommendations?

Yes "CASH IN" - you're not the first to criticize this.. I'm trying to adopt sales language.. probably too much

reach out to Sales people - is out and waiting, I hope to receive feedback tomorrow.