... specific answer, but I end up dragging the progress bar around. What I've tried so far: - Searching the auto transcript for keywords. It works if I know the exact word they used - Reading the comments for timestamps. Hit or miss

... Finding good tools here is easy, but sharing them with people in real life is hit or miss

... Most open-source dictation tools on macOS run local Whisper models. They work, but let's be honest about the tradeoffs: Proper nouns, brand names, people's names? Local models butcher them constantly Multi-language or code-switching? Hit or miss

... User prefers Model A for emails, Model C for creative writing" After 100 interactions: "I know exactly what you like" Next time, it automatically picks the best model for you: Before LLM Arbitrage: User request Random model selection Hit or miss

... about Ting and you could see the immediate trust convert directly into signups. That doesn t happen unless you spend time reviewing their history deeply. Are they bot comments, real people, constantly a lot of engagement, is it hit or miss

... widget or pop-up inside the app. But where and when is the best moment to ask? Feedback Tools: There are so many. Which ones are actually worth it? I heard some use Google forms. Is this a good alternative to the ones above? For those of you running SaaS or digital products, what worked for you? Would love to hear what s worked for you! Comment from Ajay Sahoo(@ajay27324): It depends on the industry, nature of the product ... ... sense. I like the idea of using in-app surveys at key moments, it keeps the feedback relevant and in context. Email is definitely useful for deeper insights, but I ve noticed response rates can be hit