basedtom

the world is a museum of passion projects

Me in the group chat 3 hours before selling

@web4O @John_Fanta @sam_perley @bwood_33 @NBATV @HornetsReddit @nyknicks @KnicksMuse Lmao. If you fly I’ll buy no question

@Basedtom @John_Fanta @sam_perley @bwood_33 @NBATV @HornetsReddit @nyknicks @KnicksMuse What if I wear a hornets jersey?

Good evening from…Buzz City. In less than 24 hours, two of the hottest teams in the NBA square off. The Hornets are 23-7 in their last 30. The Knicks are 23-7 in their last 30. New York. Charlotte. With @bwood_33 tomorrow night at a soldout Spectrum Center at 7 ET on NBA TV.

@web4O @John_Fanta @sam_perley @bwood_33 @NBATV @HornetsReddit @nyknicks @KnicksMuse Hornets fans only. See you in ECF

@Basedtom @John_Fanta @sam_perley @bwood_33 @NBATV @HornetsReddit @nyknicks @KnicksMuse did you buy a second ticket for me?

@aceddeca1 Yea if I owned my own data I would definitely use it for personal benefits. I wouldn’t be looking to monetize it though. That’s the problem with a lot of personal data, it’s valuable when scaled to millions of people but any given persons personal data is worth ~$0

I would honestly use something like this if it let me create my own electronic health record. If I could have my own custom EHR/wallet that interfaces with the database it would be less costly for me to run my practice. The EHR I use is expensive and costs are going up even more as they force us to go cloud based

Would love to see this on Solana

now add device type

"you can just do things" is literally true and very easy the problem is that most people waste their lives talking about the things they'd like to do instead of just doing them

way too much pmarca hate on the TL. dude is a generational mind

@bradmillscan skill issue

How in the hell are these accounts claiming to run entire companies w/ OpenClaw. I just spent 1.5 HRS trying to get my claw to use X API for reading tweets. FAIL We have a whole SOP documenting exactly how to do it from previous failures. I can’t imagine running 10 of these…

@haralabob Encounter this often. It’s analogous to copy editors never telling the author “no notes”. They’ll always critique something

The new AI meta seems to be to get you to spend infinite time or infinite tokens. "Here is a script to handle what you wanted": "Great" "If you want I can create an even better script that does XYZ" "Sure" "Okay here it is" "now if you want I can create an even better script that captures XYZ++" "Sure" "Okay here it is" "Now if you want I can create an even better script that captures XYZ++" Shoot me.

You are not your grand plans. You are your daily patterns.

huge zcash's best wallet just raised from a16z, paradigm, and even david friedberg I didnt even make it on to the poster (am washed) the team now has the resources to bring encrypted money to all phantom was a big reason SOL succeeded, same will happen here trillions

NBA twitter learning that we are a basketball state and that it was never a “Charlotte” problem… We just needed SOMETHING to cheer for.

Old man just arrived. Love it @BAXUSco @web4O

Hornets are the best team in the east

Me doing my taxes and fondly reminiscing about some of the truly diabolical shitcoin tickers I bought last cycle

@connorchevli Yup. And with rapid development, the path to prod quickly becomes the bottleneck. The supply chain guys knew what they were talking about.

@Basedtom Yep 100% - CI/CD also helps. We're effectively building a foundation for AI to do the heavy lifting with better confidence.

AI is forcing me to rethink how I build software. A year ago, I’d rarely suggest unit tests in a prototype because quickly shifting product goals would often make them a waste of time. Now they’re essential for AI self-validation loops to guardrail nondeterministic reasoning, especially since building unit tests is now easier than ever. A year ago, QA would be hire #6 or #7. Today, I’d consider it for hire #3. AI is accelerating almost every part of the product cycle. But the areas still demanding strong human judgment include: 1. Understanding user problems - AI can scrape Twitter and Discord and summarize feedback. But humans still synthesize context, nuance, and long-term direction. That’s what shapes product strategy. 2. QA and verification - AI gets close. Often very close. But “almost correct” isn’t production-ready. Human validation still closes the gap. This won’t always be true. But today, leverage AI for speed - and double down on humans where precision and judgment matter most.