flowRL

Realtime UI Personalization, powered by AI

5.0•1 review•

262 followers

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Forget about A/B testing and other outdated techniques. flowRL enables real metric-driven UI personalization. Tailor your customers' experience to their needs and gain an up to 2–3× target metric uplift with the power of Reinforcement Learning.
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Launch tags:
User Experience•Analytics•Artificial Intelligence
Launch Team

What do you think? …

Alexey Primechaev
Maker
📌
Heyy everyone, thanks for checking out our thing! Me and @maharishiva are proud to share flowRL — a UI personalization service that we've been thinking about making for years, and now, finally, got the courage and the necessary knowledge and technology to do so! Personally, we've struggled with limitations of traditional AB testing — both as people involved in building products, and as users of those products. AB testing is a pretty crude method for improving product performance. It is based on primitive statistical techniques from more than a 100 years ago. It focuses on short-term metrics, requires a long and involved iterative process with multiple stages, stakeholders and other complexities. And in the end, it can only enable an experience that is the same for every user, neglecting the need for personal touch. We believe in the future of technology where products address individual needs, evolving beyond the one-size-fits-all era. Leveraging the power of Transformers and Reinforcement Learning, we're taking cues from groundbreaking models like AlphaZero and GPT. We're excited to bring this next level of personalization to user interfaces. Dive into a tailored digital experience with us!
Anna Shevchenko
@fred @number16 Looking forward to the future of product development 🤖
Павел Малороссиянов
@fred @number16 Can’t wait to see. It should be marvelous!
Eugene Yarovoii
@number16 Can't get enough of your incredible launch! 🚀 It's exactly what our team has been searching for. Best of luck as your project continues to skyrocket. Just became your newest Twitter follower!
Rami
💎 Pixel perfection
I followed some A/B testing app on Twitter and it was a simple imported JavaScript file that allowed you to modify your UI at the percentage that you want. Is this similar to that? Is it that simple or does this require more effort?
Alexey Primechaev
Maker
@kingromstar not at all! Well, it IS similar in terms of ease of integration (just a couple of lines of code from our SDK to set up events and UI Variants), but under the hood it's much more complex. We use Reinforcement Learning to predict the best UI Variants (of the ones you set up in code) for each user, so there is little to none manual input required — our model automatically adapts the interface to drive metrics of your choice!
Rami
@number16 damn, that is some serious stuff. I'll have to learn more about that.
Alexey Primechaev
Maker
@kingromstar feel free to book a demo at flowrl.ai, we'll tell you all about it :)
Fred Kurdov
Maker
@kingromstar Thank you for your question! Traditional A/B testing tools, like the one you mentioned, typically estimate which version performs better on *average* for all users. In contrast, flowRL uses Reinforcement Learning to go beyond averages and tailor experiences for each individual. This often leads to 2-3x higher uplifts compared to standard A/B tests. It's a deeper approach, but the personalized results are transformative!
André Silva
Congratulations on the launch of flowRL! This sounds like a game-changing approach to enhancing user experiences. Can you share any specific examples of how flowRL has already improved a digital experience for users?
Fred Kurdov
Maker
@candrefs Hey André, thank you for the kind words! Indeed, we've been running some early alpha tests, and the results have been promising! One specific example is with a food delivery app to prioritize different layouts with entry points on the homescreen. With AB testing, we saw a +3.1% increase in conversion rate (CR) for one of the variance. However, with flowRL for personalized home screen experiences, the CR jumped to +6.7%. We're pretty early but super excited to explore more applications and higher levels of personalization to even more products. Thanks for your interest!