Bart Pair

PANGO is played outside on real grass.

@Top100Rick If it is legal to look in a player's bag for club information, this is completely acceptable.

Is this the proper etiquette when trying to get a putting line from another player? Rory moved right in to see Cam’s line and it pays off. I say yes. As long as behind the player, there is no issue with being aggressive in getting the look.

@ShaanVP send it

I'm secretly launching a 2nd youtube channel reply "send it" and I'll dm it to you

@claudai my pro account times out in about 10 minutes now. It has become nearly worthless.

How ArmCare Changed Pitching youtu.be/AAnM_NkNxE0?si… via @YouTube

Just discovered the GITT-NO Leaderboard—see who Grok has debunked the most on X! Full list is free right now → gitt-no.com #Grok #XCleanup

@EricRWeinstein gitt-no.com ranks the worst posters of false content on X (according to grok)

Is there no place to simply get news on Iran, Israel, the Gulf, US forces and the Middle East? Everyone is cheerleading for something or the other. I want to know what is actually happeing to first approximation. How are you accomplishing this if at all? Thx in advance.

@ViktorThulin thanks for sharing. how have your replit costs changed with the latest release?

@amasad oh the tokens i’m going to run through when every change impacts web, mobile, etc.

Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

@codyschneider anyone who actually runs real ads would know this

@codyschneider with a 1,000 ads running you can’t statistically find a winner without wasting $$$$ .

so you just bought a subscription to an AI slop generator an affiliate was shilling on instagram and you can now make a 1000 facebook ads in a day but now you're like, "okay, how do I analyze this data and do reporting to my boss" so you hook up a bootleg facebook ads MCP you found on github from user switchM0D369 and suddenly you hit API rate limits on the Facebook ads API and the bootleg MCP who's creator you don't know wont work anymore so you search online for a solution how to solve this and you find that you need to build a data pipeline in a data warehouse and you're like "easy" and then you start trying to build it and you're like, "oh, not easy" And then you're scrolling Twitter and you find some random dude talking about how they built an AI data analyst for GTM teams Where you one click connect all your data They handle building the ontology layer so the AI agent can actually understand your data And you can build dashboards, reports, and ask your data questions and the app is called Graphed .com

@middleseatsimon $375 is very low to play in these influencer events these days. saw a one round event at the muni in west palm that was over a grand.

I’ve got an issue with this: - $375 to play a muni (we’ve lost the plot) - the event reads “fire at flags until the sun goes down” yet it ends at 5:30pm? Sunset that day in Philly area is ~8:30pm. I know this will sell out but it’s stupid. I get it to play a T100, not a muni

@terencedaniels The link doesn't explain the picture. what is it?

this is golf’s future

@Golfingbrock The problem is flat greens that need to run at stimps of 12+ to be challenging.

The problem isn’t the product. It’s adherence to the user manual

@gregisenberg I'd go broke testing 1,000 versions of an AD to find a statistically significant winner.

how to use claude code, railway, meta etc to spin up digital employees that run your marketing 24/7 1. create one folder. drop in an environment file with every api key you use (facebook ads, instantly, phantom buster, perplexity, ga4, slack, notion). start thinking in apis (new mindset) 2. open claude code (or any agent harness) inside that folder. your job becomes describing workflows. the agent writes the software. you polish outputs. the “middle work” disappears 3. pick one workflow. example: bulk generate 100 ad variations from real pain points → upload them to facebook → pull live data → turn off losers → scale winners. ideation, creation, analysis, optimization...all chained 4. run multiple agents in parallel. one responding to linkedin comments. ex: one scraping podcast hosts and sending cold email. ex: one building dashboards from your ad data. you become an agent jockey. in this ep you see this in real time, spinning up new desktops/claude code in new windows its wild 5. deploy repeatable workflows to railway or any server. now they run in perpetuity. cron jobs check performance daily. dashboards update automatically. briefs show up in your inbox each morning 6. start thinking in compounding loops: idea → api chain → live data → auto-optimization → redeploy → repeat this episode walks through the full stack live on @startupideaspod (more eps like this there) with @codyschneider extremely saucey ep if you care about growing you company and doing it with ai agents then this episode's is for you no gatekeeping, all sauce (share with a friend) im rooting for you watch

@zach_yadegari Big payoffs convert. if the value delivered is meh, the # of steps is irrelevant

Cal AI has 21 steps in the onboarding. Duo Lingo has 52 steps. Long onboardings convert.

@terencedaniels I'd love to hear more.

@PangoGolf I’m working with a couple people who a working on this!

If someone gave you $1M to quit your job and build a golf brand... What would your first product be?

@r0ck3t23 the best product does not always win in the marketplace. while you are exploring and refining, the inferior product is gaining marketshare you may never get back

Figma CEO Dylan Field just identified the only competitive advantage that AI cannot commoditize. It isn’t your technical skill. It isn’t your speed. It isn’t your tools. Field: “If an agent can do it for you, an agent can do it for someone else.” That’s the fatal flaw in the entire AI productivity argument nobody wants to say out loud. When execution becomes free, execution becomes worthless. The moment anyone can build anything by typing a prompt, the output stops being the differentiator. What remains is taste. The one thing the agent cannot generate for you. Field: “What is different about your setup than others?” If you are typing generic prompts and accepting the first output the agent hands you, you aren’t building a product. You are retrieving a commodity. The same commodity available to every competitor on earth. Field: “You at least have to have something different there in order to not think that you’re just gonna get the same out.” But taste alone isn’t enough. The other half is exploration. Field: “The more you can sample the possibility space, it gives you something to react to.” The blank page is gone. The new constraint isn’t creation. It’s selection. The agent generates hundreds of possibilities in seconds. Your job is to go wide enough to find the best one hiding inside all of them. And then be honest enough with yourself to know when none of them are good enough. Field: “If you find areas where you’re going, ‘Hey, I don’t feel like I am liking this enough,’ then you got to keep pushing.” The creators who win this era won’t be the fastest builders. They’ll be the harshest critics. The ones who can generate the widest possibility space and identify the single best solution inside it. The ones whose taste is specific enough, developed enough, and honest enough to reject everything the agent produces until it produces something worth keeping. The AI can build anything you can describe. It cannot want anything. It cannot feel when something is wrong. It cannot tell the difference between good and extraordinary. That gap is the only moat left.

@rjsmith265At @Cam_Jourdan it would be nice to be that “nobody”

@Cam_Jourdan I’m always fascinated how a journeyman like Billy the Ho gets any media attention. The guy is literally a nobody in the golf world.

Here's almost 3 minutes of Billy Horschel talking about PGA National, overseeding and a problem that isn't just at the Cognizant. "Obviously we give our opinion of what we think is best for the golf course and how they want to set it up and challenge it, but also, the owners have a say in it. "This isn't just PGA National; it goes to a lot of courses that we play throughout the years."