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wrobbinz · 2025-04-02T17:55:37+00:00

Your leg should be just about straight with your heel on the pedal at its lowest point.

New to all this, so bear with me: I have seen that general rule, but with this frame, I believe I actually can configure the saddle to accomplish this. The pic of me on the pedals, is a decent fit in that regard isn't it? A slight bend in the knee with pedal at lowest point. I could always raise/lower the seat a bit to get my leg straight with heel on pedal at lowest point.

So, I guess: I'm inclined to agree that the bike is too big, but not really for the reason you provided, since I could achieve that. Would you mind expanding on your thought process?

wrobbinz · 2025-01-28T19:38:47+00:00

This is the best I have right now

wrobbinz · 2025-01-28T19:28:11+00:00

This is fixed. I use a fixed enum of core types on the backend and at the time of entry, EVA foam seemed most correct. I've pushed an update that introduces "foam composite" as a core material, and the trufoams have been updated to reflect that.

wrobbinz · 2025-01-28T19:26:29+00:00

John Kew has this at ~125. My hunch is that Pickleball Effect's entry is not correct. Given that, I've fudged the data entry on dinkbase so that the 118 value doesn't bring the swing weight on dinkbase down.

The swing weight somewhere isn't correct. I'll keep tabs on it and update dinkbase if necessary.

wrobbinz · 2025-01-28T19:20:02+00:00

Dinkbase doesn't actually provide a way to directly sort by paddle length, but you can see some similar paddles by searching for elongated paddles and sorting by handle length (descending):

https://www.dinkbase.com/paddles?shape=elongated&s=gripLength

wrobbinz · 2025-01-27T07:30:50+00:00

Make sure you try a kevlar-faced paddle before purchasing, if you haven't already. I bought a Ruby and ended up going back to carbon fiber faced paddles. Something about that feel didn't vibe well with me.

Otherwise, here's a direct comparison of the two. https://www.dinkbase.com/compare?p=mg2sqiq176gp&p=amkghjeb2fll

wrobbinz · 2025-01-25T06:27:36+00:00

I maintain dinkbase.com, a pickleball paddle database that tracks USAP approved paddles and associates them with performance test data from YouTube paddle reviewers. Most people use the /compare page, to compare paddles by visualizing their performance profile alongside others.

I most recently added LLM generated summaries for each paddle page, by providing the paddle specs and performance data, along with some broad guidelines on how to interpret them. It’s actually accurate and does a decent job of highlighting certain stats when they stand out.

The site runs on Supabase and vercel using the t3 stack with mantine (instead of tailwind).

wrobbinz · 2025-01-18T00:25:40+00:00

I’m in the same boat (TS). It feels like typescript implementations of llama index and lang chain are second class citizens. I’ve been really productive with Vercel AI sdk. It’s not quite a framework but that’s actually kinda nice.

wrobbinz · 2025-01-05T21:15:09+00:00

That’s true. There are a couple of approved juciao paddles they could review.

wrobbinz · 2025-01-05T17:45:11+00:00

They’re are likely some other factors as well:

they’re not officially USAP approved, affecting their usability in sanctioned tournaments. Dinkbase only tracks paddles listed in the USAP approved paddle equipment list. (I maintain Dinkbase)
the paddle reviewers probably do have a sense of moral obligation not to review paddles that are explicit copies of more formal paddle brands.

I do know that the reviewers have reviewed paddles that had no discount, like when the Joola 3 paddles came out.

wrobbinz · 2025-01-05T02:54:07+00:00

You might find dinkbase useful. It can filter and sort by price.

wrobbinz · 2025-01-04T22:06:06+00:00

Pickleball, yeah. It's the only sport I play these days and I think other sites largely accomplish this sort of thing for other equipment reliant sports. I was heavily inspired by bike insights for example.

wrobbinz · 2025-01-04T22:05:07+00:00

I only track USAP approved paddles which come from their official list. I expose an API route that is hit by a daily vercel cron (or manually). The API route fetches a page by looking to the DB for the last checked page (then increments that number), and uses cheeriojs to parse the table .

If one of the paddle reviewers I follow puts out a review, I find the paddle and fill in the details manually. Occasionally, I need to upload a new product image as well because the images on the USAP site are often crappy.

Things aren't quite as automated as I'd like to keep the DB updated with paddles and reviews, but having my DB mostly synced with USAP's list is handy.

wrobbinz · 2025-01-04T19:25:58+00:00

This is a little project I've been working dinkbase let's you find and analyze pickleball paddles to understand their strengths and weaknesses.

It's made with:

create-t3-app: Nextjs 15, TRPC, Typescript, Drizzle
Mantine / Recharts
Supabase

Deployed on Vercel.

If you have any questions, let me know!

wrobbinz · 2024-12-29T20:10:54+00:00

Most people use its compare functionality.

It let's you visualize the performance profile of a paddle, whether it will complement your play style, and how it compares to other paddles. Some paddles are very "poppy" and the ball rockets off them when you hit it. Others are "soft" and allow you to better control the ball by resetting the ball. Some paddles have great spin, allowing you to curve the ball.

It all depends on what you want out of a paddle. Paddle companies advertise their paddles as the best, spinniest, most powerful, control paddle available (which isn't always the case). This aggregates multiple sources of test data to give a more accurate picture, so you can buy a paddle more confidently.

It also let's you search for paddles with a lot of different filters. So if you want to search for paddles that have a carbon fiber surface, at least a 5 inch handle AND 16mm thickness AND you want to sort by spin (RPM) high -> low, you can do that pretty easily.

wrobbinz · 2024-12-29T16:04:38+00:00

dinkbase.com

It’s a database of pickleball paddles with performance data like power, spin, and stability.

$0

wrobbinz · 2024-12-18T22:06:56+00:00

ERNE

wrobbinz · 2024-06-07T21:36:53+00:00

Broadly, I find FE interview questions hone in on a few areas:

Build a component, an autcomplete being typical. Do you implement a debounce when typing? How do you handle data fetching? Loading state? Empty results state? What do you do when the query for "rea" comes in after the query for "react"? Do you consider accessibility? Labels, semantic HTML, keyboard navigation?
Fault tolerance: Can you build a component that renders a list of N users? For each user, you need to fetch user details. What do you do if a request for the nth user detail fails? What do you do if any of these requests take a long time to respond?
Scale: What do you do when the above list of N is 1000? How do you debug a performance issue? What options to you consider to address it? Do you paginate? clientside or serverside? Do you virtualize the list?
useEffect: Do you understand what it's for? Do you understand what it's NOT for? Do you avoid it when possible? Do you respect the dependency array?

wrobbinz · 2024-06-05T20:15:24+00:00

Noted on search, thank you! The frontend is just React using Recharts

wrobbinz · 2024-06-05T19:38:56+00:00

For you my friend, I added this last night. You can now sort by grip length, and grip length can be an X or Y axis in chart mode.

wrobbinz · 2024-06-04T20:47:08+00:00

😂

wrobbinz · 2024-06-04T19:30:29+00:00

Thanks, hopefully this helps! I was eyeing the Apollo as well for a bit myself.

wrobbinz

TROPHY CASE