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5 Mistakes Tech Products Must Avoid to Boost Retention 🚀 Case Study: Lessons from 5 Failed Products 1. Mistake: Overcomplicating Onboarding Example: App “TaskFlow” bombarded users with tutorials, causing drop-offs. Fix: Simplify onboarding—focus o

I'm seeing this [This post has been deleted by the creator] in my feed constantly?? it's not one or two , I'm seeing this often . shouldn't they be removed from the feed once the user deletes it and it allows to comment even after deletion . I think

If you're building a consumer app, there are 2 levers that'll make your app successful 1. > 2.5% + Install to paid user ratio 2. Solid retention, most apps are trading apps- user performs an activity and never comes back but great businesses are a

What do you think about building a blockchain from scratch to be used for data analytics with transperency. And also with integrity. I don't want crypto or nft or anything. Just for data security and transperency. Is this worthy to consider building?

A reddit user says that Chatgpt helped him fix his chronic back pain issue. Even got shared by Greg Brockman, President of OpenAI. The user said it worked because it was the perfect blend of: Holistic view + Personal context + tailored to his

It's great seeing the entrepreneurial mindset being promoted lately Proud to being a part of it and making history here.

How hard it was for you to get your first user / customer / client onboard ? What did it cost you ?

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

Hi Guys, what's the hardest Part of finding A co-founder and Why is it Hard?