@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 #15365 · Dec 24
#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3
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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
@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