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johnmcelhone

Re:Show HN: Lunon – Instant model switching across LLMs on Friday April 11, 2025 @06:22PM (#43659333)
Thanks for the feedback! Will work on some updates for the hero backgrounds.

On your point about local code vs. API:

- We handle all the authentication, rate limiting, and API differences between providers, which becomes complex when working with multiple models. Our platform allows smart switching between different models depending on the message context.

- Our switching is optimized for performance. We provide detailed usage analytics and cost management across models so you can optimize which models to use where. This allows you to see what costs your users may be incurring / misbehaving.

We're building features that go beyond what's easily replicable locally, including some of the agent and evaluation capabilities you mentioned (rolling out over the next two weeks). OpenRouter is definitely doing great things in this space. We're taking a slightly different approach by focusing on bringing customization within the dashboard to allow for on-the-fly updates without pushing new code edits.

Appreciate the feedback and hopefully you get a chance to try out the tool!

Re:Show HN: Lunon – Instant model switching across LLMs on Friday April 11, 2025 @04:29PM (#43658176)
Fixed, thank you!
Re:Show HN: Lunon – Instant model switching across LLMs on Friday April 11, 2025 @04:28PM (#43658173)
Didn't catch the pricing bug, will update right now.

A few others have also mentioned about the Grok & Groq confusion. Will think through some ideas here and update.

Appreciate the feedback!

Re:Show HN: Lunon – Instant model switching across LLMs on Friday April 11, 2025 @04:25PM (#43658137)
That was my bad - just fixed that mistake. Thanks for catching it!

Will explore some more ideas for the Groq & Grok part too.

Show HN: Lunon – Instant model switching across LLMs

https://lunon.com/

Hey HN! We built Lunon to make LLM development way less of a headache. Ever wanted to see how different models handle the same prompt without all the setup hassle? That's what we fixed.Our API lets you compare Claude, GPT, Mistral and others in real-time with just a few lines of code. No more complex infrastructure or managing multiple API connections - we handle all that boring stuff behind...

( Read More... | 16 comments | 7 points | on HN )
This is correct. The brightness of the stars made them a bit difficult to identify by eye, I'm sure someone more familiar with sky charts could have done it. The constellations helped me align the sky on Stellarium (from their angles) and the north star helped me find the approximate latitude by using the angle from the horizon.
You don't actually need the focal length, it doesn't help accuracy that much but can help you line up the sky to the photo a bit quicker. Anyway, if we did, all that info was in the metadata anyway:

Camera: Nikon D5 F-stop: f/2.8 Exposure time: 5 sec. Focal length: 28mm Max aperture: 3

I did mention this later in the thread - was just a fun experiment to see if locating it was possible if we didn't know
The process can still be done using entirely the star pattern and no Google Maps. There wasn't any reason to exclude other information I could use, so I didn't.
You're right, it wasn't too difficult to guess the location without the stars. The base did happen to be right in-between the 34 and 35 degree lines (34.6 lat), and you can estimate pretty well with only one line
Re:Why is the Gaza Strip blurry on Google Maps? on Monday May 17, 2021 @04:46PM (#27188240)
Want medium res (10m), Sentinel-2 imagery is your best bet. Won't cost you a penny. https://apps.sentinel-hub.com/eo-browser/

Looking for higher resolution (3m), the only viable option really is Planet. Even at that, they're pretty iffy with their pricing models and distribution. I think they range around the $2 per square kilometre mark.

Re:Why is the Gaza Strip blurry on Google Maps? on Monday May 17, 2021 @04:40PM (#27188171)
I believe 3m res data from them is around the $2 per square kilometre mark, however varies wildly depending on scale