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AI 资讯

Show HN: I built a free app for New Yorkers to save money on groceries

I built this because I see that grocery savings are achievable in NYC. People usually just go to the store they're used to going to, and it's rarely worth the effort of combing through card cashback, weekly coupons, CPG rebates. Most people leave real money on the table by not stacking them, and even more don't even know that these deals are out there.... so I built a way to automate it. You can use it for free, no login, currently NYC-only with ~690 stores. I built it so that you just search wh

2026-07-10 原文 →
AI 资讯

Point any app at a local LLM on your Mac (OpenAI-compatible endpoints)

Most apps that grew an "AI" feature in the last two years talk to one of a handful of cloud APIs, and almost all of them speak the same dialect: the OpenAI Chat Completions format. That one detail is the reason you can pull the cloud out and run the whole thing locally on a Mac without the app ever noticing. Here is the trick, why it works, and the gotchas that bite. The one interface everything agrees on OpenAI's /v1/chat/completions endpoint became the de facto standard. So when an app lets you "use your own key" or "set a custom base URL," it is almost always going to POST to {base_url}/chat/completions with a JSON body of messages and read back the same shape. It does not care what is on the other end, only that the response matches. Local runners leaned into this. Both popular Mac ones expose exactly that endpoint: Ollama serves an OpenAI-compatible API at http://localhost:11434/v1 (its native API lives on /api , but the /v1 path speaks the OpenAI dialect). LM Studio has a built-in server you switch on from the Developer tab, serving on http://localhost:1234/v1 . So "make this app local" usually reduces to: point its base URL at one of those, put any non-empty string where it wants an API key, and pick a model you have pulled. The 60-second version Ollama: brew install ollama # or the .dmg from ollama.com ollama serve & # server on :11434 ollama pull llama3.1:8b # pull a model once Confirm it speaks OpenAI: curl http://localhost:11434/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "llama3.1:8b", "messages": [{"role": "user", "content": "say hi in 3 words"}] }' If that returns a choices[0].message.content , any OpenAI-compatible client can use it. In the app, set: Base URL: http://localhost:11434/v1 API key: ollama (or literally anything; it is ignored) Model: llama3.1:8b LM Studio is the same idea with a GUI: load a model, toggle the server on, and use base URL http://localhost:1234/v1 . Pointing real tools at it The pattern shows up

2026-07-10 原文 →
AI 资讯

Microsoft’s carbon emissions went up 25 percent last year

Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft's carbon emissions increased 25 percent in 2025, totalling 34 million metric tons "without select interventions." Microsoft says this was "driven primarily by the expansion of our […]

2026-07-10 原文 →
开源项目

Netflix reportedly considers adding always-on channels

Netflix is thinking about adding always-on channels that would stream specific shows and movies, according to The Wall Street Journal. The move sounds like a Netflix version of always-on services like Pluto TV and Tubi, except the big hook for those is that they're free - because of the ads you have to watch. Netflix […]

2026-07-10 原文 →