@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 #15263 · Nov 2
#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm
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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