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@storage_qi · Post #1237 · 12/23/2025, 08:54 AM
#UserInterview#UXResearch#ProductDevelopment#UserFeedback#DesignThinking https://heiskr.com/stories/interviewing-prospective-users
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Source channel @githubtrending · Post #15132 · Sep 10
#scala X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X. https://github.com/twitter/the-algorithm
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@venturevillagewall · Post #3446 · 12/19/2024, 01:01 PM
Insight on Pricing Strategy A Telegram bot for online store owners is launching with a subscription price of 320 rubles per month, which is lower than competitors to attract users. The creator struggled with pricing, consulting friends and family, leading to a divide in opinions. A seasoned relative advised that the price might be too low, suggesting a higher price to target a more serious audience. The discussion emphasizes that proper pricing should balance economic viability and marketing return, stating that high perceived value justifies higher pricing. Key takeaway: avoid relying on inexperienced opinions about business strategies. #Subscription#Ecommerce#PricingStrategy#MarketResearch#OnlineStore#BusinessAdvice#UserFeedback#ProductValue#Entrepreneur#Marketing#TelegramBot#ValuePricing#MarketCompetition#ConsumerInsights#Startup#BusinessModel