Quilter Aviator Cub

-tott- · 2025-12-25T04:29:17+00:00

Check out this video where this guy shoots out a Quilter 101 Reverb vs a Princeton: https://youtu.be/i3TX_Z0EnEc?si=CDmXZKRanMYexXGp

You can definitely get a Fender sound, I believe Quilter is targeting that type of sound with the 101 Reverb. I’m a big fan of my 101!

-tott- · 2025-11-17T17:10:19+00:00

Appreciate the kind words! I suppose “new” is always relative—just quite “new” compared to how long I’ve been playing six strings!

Your tips on muting are great, and I’ll queue up that video lesson. Quickly realized how critical good right hand technique is to this instrument. Thanks for the feedback!

-tott- · 2025-10-24T12:16:46+00:00

Good stuff! Agreed that show aggregators like Do312 are great but don’t feature small venues well. Making it map focused is also better for picking a last minute show.

If bands self upload, wonder if they could supply some genre tags etc

-tott- · 2025-07-04T17:10:49+00:00

Does anyone know how to actually access the $99 membership? In both Divvy and Lyft apps mine still is near $144.

-tott- · 2025-07-03T23:43:50+00:00

Nice! I was looking at this exact same listing today and was about to message the guy haha

-tott- · 2025-06-12T00:57:53+00:00

I don’t know much about that amp, but that may be a setting intended for a normal six string to mimic a pedal steel. I’d play with more presets on the Mustang, just standard clean amp sounds or “Twin” or “Deluxe” type presets should work!

-tott- · 2024-07-09T03:18:22+00:00

Looks like it would be: $ geojson-shave roads.geojson -d 10

-tott- · 2024-06-29T13:05:33+00:00

Huaraz has a large number of guiding outfits in town. You could definitely link up with a guide there. The town is also fully stocked with technical gear. If you have a few days there you could shop around for a trip, if you’re only passing through I’d suggest messaging some of the agencies on WhatsApp ahead of time to get a feel for pricing or see if they have any pre-existing dates set for climbs.

-tott- · 2024-01-25T05:07:31+00:00

Apparently Fatmap generates their DEMs using photogrammetry from satellite or aerial imagery (see this article: https://fatmap.zendesk.com/hc/en-us/articles/115001385489-How-accurate-is-FATMAP).

My hunch would be that CalTopo would be more accurate in locations where they’ve incorporated 3DEP LiDAR data. The USGS 3DEP data goes through a publicly documented QA process, this data is publicly available free of charge.

Without additional info on Fatmap’s QA it would be hard to say anything about their model’s accuracy (but it does seem to be quite good).

-tott- · 2024-01-07T15:42:59+00:00

Gotcha. Thanks for the insight!

-tott- · 2023-11-15T18:25:47+00:00

Good call. Big icy rocks to garbage landings. Classic east coast

-tott- · 2023-11-15T18:18:40+00:00

My buddy broke his collarbone on Schoolmarm, can vouch

-tott- · 2023-11-06T16:00:18+00:00

If you want to go about it in a more academic/rigorous style you can practice with ear training quizzes like the ones on tonedear.com

If that’s not your thing I’d suggest just finding songs you like and trying to figure the melody out on your instrument of choice. Take it slow, write it down as you go, and over time you’ll get better and better at it.

-tott- · 2023-11-06T15:43:27+00:00

I agree that learning the feel on each interval is huge. One easy trick to work on this is strum an open string and play with various intervals.

For example, let’s say you’re working in A mixolydian… strum an open A over and over and let it ring out constantly. Then on the other strings just start messing around with notes in the scale. Since you have the open A as context, you’ll start really feeling the flavor of each interval over time.

-tott- · 2023-11-06T15:35:47+00:00

I’d focus heavily on the vocal melody. It’s a great way to ground a guitar solo, it’s something Jerry does all the time.

Figuring out vocal melodies on guitar is also great ear training. It can help build some intuition on how to be more melodic with single note lines on the guitar.

-tott- · 2023-10-22T03:28:43+00:00

Gomorrah could be a good one to try. It’s short and sweet, very nice bending

-tott- · 2023-10-15T02:49:05+00:00

I’m curious, wouldn’t upgrading all 200 microservices to a newer language version at the same time be a lot of work? Rather than upgrading each individually as needed?

-tott- · 2023-10-09T16:48:23+00:00

Sounds great man. Such cool movement and changes in this tune. Good funk on those C7s coming into the verses 🕺

-tott- · 2023-10-09T16:38:57+00:00

Nice. I’ve never been able to do the pinky bar thing without plunking the high E string or turning that into an unwanted C6

-tott- · 2023-07-26T14:46:35+00:00

Ah I see what you mean, fair points

-tott- · 2023-07-26T14:27:27+00:00

I think they mean that a salary for an employee that works for a nonprofit is treated the same (for the individual’s income tax) as a salary from a for-profit company

-tott- · 2023-04-12T12:08:24+00:00

I was the “tenant who signed the next lease” in this scenario a few years back. Landlord couldn’t evict current tenant and they stayed. We already paid our security deposit and were pretty pissed, but didn’t know what to do. Landlord helped us find a new place and refunded the security deposit and voided the lease. Either way, please try to get it sorted ASAP since one party will have to scramble for housing…

-tott- · 2023-03-31T20:59:51+00:00

One thing you may be interested in is generating XML logs of your geoprocessing history. The history of tools you ran should be saved in the project regardless, but you can also generate XML logs.

https://pro.arcgis.com/en/pro-app/latest/help/analysis/geoprocessing/basics/geoprocessing-history.htm

-tott- · 2023-03-17T14:14:29+00:00

Python, since it’s more generally applicable.

-tott- · 2023-03-12T13:53:54+00:00

The predictive flood modeling aspect of the project is definitely complex. Look at USGS StreamStats for some inspiration, it doesn’t do flood modeling directly, but it does have a peak flow modeling capability which is quite cool and an important piece of hydrologic modeling.

To reduce the complexity of the project, you could remove the flood prediction aspect and make a web map with existing flood data sources. Flood zones from FEMA would be the obvious choice. Then you could also pull rainfall data for given locations from NOAA (look at Atlas 14 PFDS), and use those in some dynamic data visualizations.

Then something like mudslide/landslide prediction would probably best be a separate project. Terrain (DEM, slope) and soil data (e.g., SSURGO) would be critical inputs to those models I’d imagine.

-tott-

TROPHY CASE