@Potent213 We’ve invested a lot of time into this system and the team is really happy where it’s at. The even better news is that we’re not stopping at any of this and are continuing to invest in the space. Player behavior right now is a really fun problem to solve with tech!
Built my June project: BestBag
A free AI tool to help golfers find clubs that fit their game + budget. Also has a club valuator for when you’re staring at a used club wondering if it's a good deal
Try it out, send me weird clubs.
https://t.co/oE6AdjylxZ
@Rengle820 Automated testing will play a big role, but companies are 10 years behind on automated testing and making that codebase testable requires a rewrite. We’re trying to adopt and move towards more AI coding but when your testing pyramid is inverted, it’s too hard lol.
I post all my monthly projects on LinkedIn and had such an amazing conversation with this person after they downloaded my app. It’s beyond cool to be able to impact even one person this way. I love merging tech with golf and can’t wait to share my next one; It’s a banger.
Finally sharing my April project: Cue. Most golf apps fix your swing but once you can strike it, scoring comes down to what’s between your ears. Cue uses LLMs to deliver quick, personalized tips for on the course.
Give it a try next round: https://t.co/htA3coCSMC
@sairahul1 They’re in different categories running at scale my guy. The hardware requirements to run VibeVoice and Whisper V3 turbo are in different leagues (9b and 800m). VibeVoice also runs other LLMs (Qwen) under the hood for formatting. VV is amazing, but you can’t really compare them.
@jxnlco It’s so awesome that you’ve navigated this. Always been in awe of your abilities, even while waiting to take our stats midterms. Looking forward to keeping up with your journey!
@LouStagner I’m curious about vanity indexes for….purposes and I’m curious if you have any data on it. @USGA has the probability of negative score differential, but nothing on positive.