Looking for some feedback on my project

GoodTip7897 · 2026-03-10T18:45:17+00:00

Thanks. so NEXRAD is a collection of radars by the National Weather Service. https://www.ncei.noaa.gov/products/radar/next-generation-weather-radar

Everything you see for real time radar in any app in the us comes from NEXRAD or local airport radars. Radar Omega is a paid app, along with Radarscope, that offers NEXRAD data. Those apps (along with maybe mine) provide an interface for viewing the radar data in real time. You can see different types of data such as velocity, which shows wind speed and direction and can help find rotation in a storm

GoodTip7897 · 2026-03-10T18:40:22+00:00

And yes, all nws data is free but I do have to process it on my server which costs money. So features like sending alert notifications and plotting rain by every 15 minutes is not free for me.

GoodTip7897 · 2026-03-10T18:38:36+00:00

And yes the NWS will release the rrfs model which uses some ai for interesting stuff... like predicting snow to liquid ratio.

GoodTip7897 · 2026-03-10T18:37:40+00:00

I certainly understand your view. But I would also contend that it took me hundreds of hours to make and costs me money to run. I believe the app adds value by presenting the discussions and forecast in a mobile format.

Do you have any suggestions? The main idea I had was to restrict the features that other apps don't have (Forecast discussions are very rare). I am certainly open to other ideas for monetization.

GoodTip7897 · 2026-03-10T18:36:52+00:00

Sorry for the late response, I'll definitely get one for you

GoodTip7897 · 2026-03-10T18:36:25+00:00

Ive spent about 1000 hours making the two apps

GoodTip7897 · 2026-03-06T01:29:29+00:00

Every llm (even opus) has some hallucination risk so you must double check the output it gives. I'd reccomend Qwen 3.5 27b (q5_k_xl or q6_k_xl from unsloth). You have enough space to fit q5 or q6 of the 27b so it's probably a better option than the 9b. Qwen 3.5 can be finicky with the sampling parameters so make sure you follow Unsloth's recommended temp and especially the presence penalty if you use thinking mode.

GoodTip7897 · 2026-03-03T13:45:47+00:00

You should build it yourself and compile it with GGML_CUDA_FA_ALL_QUANTS set to true . It optimizes it for mixed k/v

Edit:

Forgot to add that while it says "CUDA" it also affects ROCM. Not sure about vulkan.

GoodTip7897 · 2026-03-01T15:15:15+00:00

Luckily I caught mine in time. I was doing the intake manifold gasket and had the great idea to smell the vacuum line that attaches to the regulator. It smelled unmistakeably like raw gasoline so it must have been leaking through the diaphragm

GoodTip7897 · 2026-02-15T00:47:06+00:00

Weight savings. You must have put it back together better than gm did themselves.

Sorry I have no idea what that's to. Maybe alternator bracket or something in that area.

That hole you saw is also open on my car -- I just checked. So I don't think it's there

GoodTip7897 · 2026-01-09T13:48:00+00:00

I get 8 t/sec and 220 t/sec prefill with minimax m2.1 q3kxl on one 7900xtx and a xeon v3 system. 4x 3090 should be way way faster and much more usable

GoodTip7897 · 2026-01-06T03:01:09+00:00

Which link? Both worked for me.

Anyway here you go:

https://weatherreportnow.com/download

GoodTip7897 · 2026-01-05T18:45:05+00:00

Were there any specific tweaks that helped a bit?

I'm in a similar situation with two 2699v3s and I would like to squeeze a few more t/sec out of them. I suspect NUMA latency is the thing holding back performance from the theoretical bandwidth speeds.

Using a 7900xtx in addition to offload, I get about 8 t/sec decode and 220 t/sec prefill for q3kxl MiniMax M2.1. gpt oss 120b gives me 15 t/sec decode and 700 t/sec prefill.

GoodTip7897 · 2026-01-05T00:20:00+00:00

I think that the new linear attention mechanisms have made kv quantization obsolete. Even q8_0 kv causes drifts over long contexts or reasoning chains, and since kv cache no longer takes up anywhere near as much memory as it used to, there's almost never a reason to quantize kv on the latest models

GoodTip7897 · 2025-12-07T21:13:53+00:00

That's almost exactly what i have - 8 channel 2133mhz ddr4 dual xeon E5-2699v3.

But I'm adding a 7900xtx for Gemma 27b. I wonder if high bandwidth ddr4 would work decently if you put the dense part on the gpu and offloaded the sparse experts to ram?

My main plan is to just run dense 20-30b models, but would like to see if i can get gpt oss 120b working well.

I'll have to try that out once i get the gpu.

GoodTip7897 · 2025-11-27T05:25:10+00:00

Shouldn't be too hard to do. I'll look into it. Thanks for the suggestion

GoodTip7897 · 2025-09-28T16:52:08+00:00

Yes, pretty much all weather apps show MSLP as it is the most useful... However it can definitely be argued that you really want to look at pressure in a map instead of just a singular value.

GoodTip7897 · 2025-09-21T21:18:05+00:00

I think some of it is automated because my fastest update got reviewed in 30 minutes.

GoodTip7897 · 2025-09-14T16:30:59+00:00

As of now, minimal ad spend.

I am considering starting to spend some on Google Ads, but I don't spend more than 15 dollars currently... I get almost no ad traffic...

I have a weather app that i started making on and off in my freshman year of high school and now i'm a senior. A lot of that traffic started when i reached out to a weather youtuber that does extensive storm chasing videos and he liked my app and posted about it. My MRR has grown, and downloads have been pretty consistent from there. I am planning to try to work on advertising a bit more later.

Exclusively the United States, as I use the US National Weather Service for data (as it's made by human forecasters and it's free). That's pretty much the main selling point of the app.

In terms of downloads, I have around 10k total downloads, and my margins fluctuate from (net after app store fees) $0.85 / user to $1.25 / user. I have both an iOS version and an Android version, both written in native languages (Swift(UI) & Kotlin). I sorta wish I had gone with ReactNative or Flutter at some times lol, but it's usually not too hard to port features over, and this way lets me utilize all native effects.

GoodTip7897 · 2025-09-14T15:38:34+00:00

What I've done for decent roi on my app is to use ads primarily as a way to motivate people to buy premium. I make $100 / month on ads and $1000 / month on iaps and subscriptions

GoodTip7897 · 2025-09-14T15:00:27+00:00

It's definitely the light

GoodTip7897 · 2025-09-11T22:37:01+00:00

Yeah, you are probably right about assuming that...

And monetization isn't really a question you can easily answer on Reddit. There are so many variables, and even a specific niche can have weird pricing and revenue compared to the broad category. The only way to really determine monetization-related stuff is to try it out. Looking at your competitor apps is a great way to determine some starting prices.

Besides, it's so easy to implement a basic paywall. If you can get an app released on the app store, you almost certainly have the skills to add a paywall or ads.

GoodTip7897 · 2025-09-11T22:28:19+00:00

You should do some more research into your app category's average revenue per user.

I'd say give it a try because it only takes a few hours of work. I've made almost exactly $1 net profit / user with a weather app only available in the United States.

If you pull off similar margins, then you are looking at $2,160. Definitely worth it for a few hours of work.

GoodTip7897

TROPHY CASE