😸 AI-powered omegle
Maybe your next best friend is a robot Product Hunt Friday, Nov 15 The Leaderboard This newsletter was brought to you by AssemblyAI gm legends. we made it to the end of the week. in today's
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Friend: A platform that connects you to random AI "friends."
Friend, the company that made waves on tech Twitter for spending $1.8M on its domain, just launched what feels like an AI version of Omegle. It connects you to random "friends," each with their own baggage, for one-on-one chats. Right away, I noticed how blunt and overly confessional these "friends" are—almost an over-correction from ChatGPT’s typical politeness and stiffness. But instead of feeling more human, it comes off as a meaner, sadder AI. There’s a sweet spot they seem to have missed here—some fine-tuning could make a big difference.
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Burner: A low cost wallet that you can gift crypto with.
Beautiful. That's the single word that describes Burner's site and product. At first interaction it had me sold. I've already been in the Web3 space for a while, and know that doing hardware can be hard - and often times the design can be a bit more loud than subtle. Burner, however, blends the fun colors that Web3 is known for with clean and minimalistic design that is becoming standard for leading tech products. If Web3 can start releasing more consumer-friendly products that also sport great design I think it'll help sport the adoption of the tech. Now I'm just waiting for a Pool Suite x Burner collab.
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Knowing: Interact with LLMs inside nested concept hierarchies.
Knowing offers a much more intuitive way to gather and store AI-generated knowledge than the typical prompt-response UI. It lets you create nested concept hierarchies (e.g. “Philosophers -> 18th Century -> German -> Immanuel Kant”) and populate each node with AI-generated information you can prompt in the app. If you’re a fan of an app like Obsidian for note-taking, you’ll probably love Knowing. Otherwise, you might find the extra friction of creating the hierarchies is more trouble than it’s worth.
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Our latest model goes beyond accuracy to capture the real-world complexity of human conversation, delivering reliable, source-of-truth audio data. Built on the core strengths of Universal-1, it solves key challenges, recognizing complex data like alphanumerics, proper nouns, and specialized formats. Designed for real-world applications, it enhances workflows and delivers clearer insights. Learn what’s improved and why 72.9% of people choose Universal-2 over the rest.
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