Forget about A/B testing and other outdated techniques.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.
The overwhelming positive response on ProductHunt is a testament to the product's unparalleled quality and ingenuity.
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This is amazing. Saying goodbye to traditional A/B testing and embracing the power of Reinforcement Learning to personalize UI for each user is an incredible leap forward.
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Congratulations on the launch! Looks like a very interesting tool. Good luck! 🤞
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Maker
@chetna_bhola thank you! hope that both users and companies will love it!
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Sounds Amazing!
Will definitely wanna try @number16
Congratulations on the launch of Flowrl.ai! but how it compares to traditional A/B testing. Can you provide some specific examples of how Flowrl.ai has helped to improve target metrics for your customers?
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Maker
@sarvpriy_arya hey, thanks, sorry for the late response! While an A/B test would arbitrarily separate the user base to find the best "overall" performing solution, flowRL allows companies to find specific UI combinations that work best for each individual user! It allows for
1) Better performance — our models already result in target metric uplift that is 2-3x better than from a "one-fits-all" A/B testing approach
2) Run multiple experiments in parallel, all conflicts are resolved automatically
3) Continuous learning — while A/B testing resolves to a very iterative process, our models don't stop learning and improving. Ever. The more data — the greater the prediction accuracy, and therefore performance, even with the same UI variants
4) Target high-level metrics such as revenue or LTV instead of intermediary ones, like conversion rate on a specific screen
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flowRL
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