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miguelaeh
searching Neon…
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Agents finding other agents and tools to complete tasks
(search.tiza.cc)
1 points
by
miguelaeh
3mo ago
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1 comments
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miguelaeh
3mo ago
This is a "search engine" I built a couple of weeks ago while thinking about the agentic economy. Our agents need a way to find other agents and tools that help them complete complex tasks. It can be used as an MCP or via A2A, you
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I automated L2 support tired of handling escalations
(lumen.support)
1 points
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miguelaeh
5mo ago
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0 comments
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miguelaeh
5mo ago
There is an event on the Frontier Tower today to talk about this paper in case someone is interested
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miguelaeh
11mo ago
> Most importantly, you need to carefully engineer the learning process, so that you are not simply compiling an ever growing laundry list of assertions and traces, but a rich set of relevant learnings that carry value through time. That
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Fixing bugs automatically from a screen recording
(nitpicks.ai)
14 points
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miguelaeh
1y ago
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0 comments
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miguelaeh
1y ago
Hey there! Nitpicks creator here. I built Nitpicks initially because I was tired of PMs sending me small screen recordings with changes they wanted, so that it automatically implemented them for me. Then, I was very surprised by the good re
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OpenAI Deep Research paying only for the inference you consume
(open-deep-research-anotherwrapper.vercel.app)
1 points
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miguelaeh
2y ago
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0 comments
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miguelaeh
2y ago
You should add some way of contact in the website
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I built a portable AI account that connects to apps with one click
(brainlink.dev)
8 points
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miguelaeh
2y ago
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1 comments
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miguelaeh
2y ago
Hi HN! I believe there are many issues for devs and users with the current approach of copy-pasting AI provider API keys into applications. I have built brainlink.dev as a solution to this and would love to get your feedback. It is a portab
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miguelaeh
2y ago
Cool! Are you indexing the web or just using a search engine like Bing? I understand that using a search engine is a problem because your results will be as good as those of the search engine
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Running AI locally in the users' browsers
(offload.fyi)
3 points
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miguelaeh
2y ago
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2 comments
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miguelaeh
2y ago
I have been recently exploring and testing this approach of offloading the AI inference to the user instead of using a cloud API. There are many advantages and I can see how this could be the norm in the future. Also, I was surprised by the
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A WebGPU C++ Guide
(eliemichel.github.io)
2 points
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miguelaeh
2y ago
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0 comments
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miguelaeh
2y ago
I am betting on local AI and building offload.fyi to make it easy to implement in any app
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miguelaeh
2y ago
Wow. I didn't know that. It's crazy. I am aware of the legal and tax burdens that many entrepreneurs suffer because of the exit tax. That's the reason why many of them (me included) decide to open their companies directly in
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miguelaeh
2y ago
The first cars, networks, and many other things were not unexpensive. They became so with time and growing adoption. Cost of compute will continue decreasing and we will reach that point where it is feasible to have AI everywhere. I think w
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miguelaeh
2y ago
I am from Spain, the system is just a joke. It is not taxing the wealthy people, just those wealthy enough to live well but not worth creating a holding company, which is in most cases working people with well-paid jobs and not the so hated
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miguelaeh
2y ago
You're welcome! Let me know if you plan to integrate local models as mentioned in other comments, I am working on something to make it transparent.
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miguelaeh
2y ago
I don't think the point here should be the cost, but the fact that you are sending everything you write to OpenAI to train their models on your information. The option of a local model allows you to preserve the privacy of what you wri
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miguelaeh
2y ago
I am a Grammarly user and I just installed Scramble to try it out. However, it does not seem to work. When I click on any of the options, nothing happens. I use Ubuntu 22.04. Also, to provide some feedback, it would be awesome to make it au
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miguelaeh
2y ago
I guess what some people do not understand is that K8s was created internally at Google, for managing their services and handling millions of users. For new projects that, with luck, will have a couple hundred users at the beginning it is j
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Are companies interested on running LLM inference locally?
2 points
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miguelaeh
2y ago
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0 comments
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miguelaeh
2y ago
Wow. This is wild!
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miguelaeh
2y ago
Good to know! I will try with a VPN then!
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miguelaeh
2y ago
This is something that worries me a lot too. For context, two years ago I left my job at a big tech company to build a startup. It failed, but I still have the energy to build new stuff, so that's what I am doing. My internal conflict
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miguelaeh
2y ago
There is some genetic part, but I would say this also highly depends on the environment where you grow up. From my observation, people who grow up in villages are smarter than people who grow up in the city. They just know more about the wo
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miguelaeh
2y ago
It's hard to know yet since it is not open to everyone, most of us can just see the demos, which are usually created to impress.
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miguelaeh
2y ago
I don't see the gotcha, that's how it is supposed to work. It's just their purpose
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