Bought the domain "browse.ai" for $5,009 😱 😅
by ArdyThis was the toughest financial decision I've made in my entire life!
I started doing a trial project with a potential cofounder I met through YC cofounder matching program early September. He told me he tried to go to browse.ai by mistake and found that it's on the expired domains auction.
When I started Browse AI, I wanted this domain, but the owner said he won't go below $50k. So I got BrowseAI.com instead.
The owner said: “Amazon has browse.com, they might want to buy .ai too”
Turns out he forgot to renew!
I talked to my mentor (Daniel Ha, cofounder at Disqus) and he suggested I bid up to 5k for it. I waited until the last hour and right before I start bidding, 2 other people started bidding for up to $250. Then we competed with each other for two hours (the auction was extended) and eventually, I was able to get the domain for $5,009 (plus a 3.627% credit card payment fee). $9 above what the other person bid and I wasn't willing to go any higher...
I'm so glad this happened right before our ProductHunt launch! browse.ai seems much cleaner and easier to read than browseai.com
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Congrats you seem to be tracking well, so I tried it out. mm.. results not so hot. Would be great to see an update here of how your tracking.
- Tested and it could not scrape a simple directory listing.
- Branding is browse.AI. What actual AI is used -- I could not find it explained on the site?
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Hi there. Could you send me a link to your robot so I can take a look and find out what the issue was?
We have an article on your AI question:
https://help.browse.ai/article/138-leveraging-ai-
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is AI the same as ML (machine learning)?
chatgpt plus reply:
AI (Artificial Intelligence) and machine learning are related but not the same thing.
AI is a broad field of computer science that aims to create intelligent machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, and making decisions.
Machine learning is a subset of AI that involves teaching machines to learn patterns in data, without being explicitly programmed. Machine learning algorithms are trained on a large amount of data, which enables them to learn from examples and make predictions or decisions based on new data.
In other words, machine learning is a specific technique used within AI to build intelligent systems. It is one of several approaches to building AI, including rule-based systems, evolutionary algorithms, and neural networks.
So while machine learning is a key part of AI, they are not interchangeable terms. AI is a broader field that encompasses many different techniques and approaches, while machine learning is one specific approach to building intelligent systems.
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Thanks for the feedback. I think this is more of an opinion though rather than a fact. If we treat this (“ML is a subset of AI and if you only use ML, you can’t say you use AI”) as a fact then you can’t call any application a “software” because what you’re building and the tech you’re using are a tiny tiny subset of what a software could be and the tech you could be using, so you can only call it something a lot more specific.
To be clear, we never claimed that we use “generative” AI anywhere (although that is going to change soon…).
Still, I appreciate the feedback.
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re ticket: I have already at the end of the robot session. No support reply recd. Maybe your process is broken.
For the lay, generative AI is not same as ML.
So for me, Browse AI really is Browse ML. misuse of "AI" as it is subset.
Its cool to get domain to "grow into". Uncool to mislead. Suggest being transparent around this if you dont wish to aleniate the people who are willing to try out your extension.is generative AI the same as machine learning?
chatgpt plus answer:
Generative AI and machine learning are related but not the same thing.Machine learning is a type of artificial intelligence that involves training a computer system to learn patterns in data, without being explicitly programmed. The goal of machine learning is to enable the computer system to automatically improve its performance at a specific task, such as recognizing images or understanding speech, by learning from data.
Generative AI, on the other hand, is a subset of machine learning that involves using algorithms to generate new data that resembles the data used to train the model. In other words, generative AI is focused on creating new content, such as images, music, or text, rather than simply recognizing or classifying existing content.
So while generative AI uses machine learning techniques to generate new content, it is not the same thing as machine learning. Machine learning can be used for a variety of tasks beyond generation, such as classification, regression, and reinforcement learning.
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