Bo

a wise man once said nothing | Building Fantasy Brain

[Alex Kozora @Alex_Kozora]

Mike McCarthy holds #Steelers coaches from taking the field at practice until the last second, right after stretch line.

Per the CBA, the practice clock starts once they take the field. So Pittsburgh can use the full allotted time on drills. Smart stuff from McCarthy.

[⁶𓅓 @pIottw1st]

Drake on No Face he was flowing like crazy

[Cristiano Ronaldo @Cristiano]

ESTAMOS AQUI!

[Barstool Sports @barstoolsports]

“I’M BACK! I’M BACK!”

Ronaldo has a message for the world

[Hayden @the_transit_guy]

Just imagine a world without politics

[Bo @Bo_Brothers]

Sup man!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

Whats up guys!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

Unless a restructure happens, Josh's SB window is closed based on the data. QB with a 13%+ cap hits don't win Superbowls

Since the cap began in 94 Steve Young is the right at the marker at 13.08% when he won in 94. Mahomes is the only QB to win far past the line with 17.19% in 2022 and 16.52% in 2023

https://t.co/Phgfb1m7wk

[Bo @Bo_Brothers]

Whats up Theo!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

What’s up Jeff!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

What's up Joe!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

@dwainmcfarland Thanks man! Let me know if you see anywhere it could be better. Thanks again!

[Bo @Bo_Brothers]

Thanks brotha!

Btw you got 2 years before your SB window closes with Purdy (unless restructure). No team since the '94 salary cap has won the superbowl with their QB cap hit being over 13% except Mahomes in '23 (17%) and 24' 16.5%). He's the only outlier

Steve Young did win in 94 at 13%

https://t.co/Phgfb1m7wk

[Bo @Bo_Brothers]

What's up Jim!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

For trades. Look up how dynasty picks fair out. The percentage rate of success, etc. then look up some promising players that are gonna go in the next 3 drafts. I want when we put in trades for dynasty and include PICKS, I want it to be precise and detailed

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

Whats up Alfredo!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

What's up Joey!

You wanna test that trade on my app I'm building?

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

What's up man! If you wouldnt mind, give me app a spin

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

@MattHarmon_BYB What's up Matt!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

What's up Austin!

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs

[Bo @Bo_Brothers]

I built Fantasy Brain. I want fantasy experts to break it before it goes live

The live start/sit and waiver tools will matter more once games are back, but the app can still be tested now through dynasty trades, roster diagnosis, mock draft decisions, draft prep, and historical start/sit replay from last season

What makes Fantasy Brain different is the hidden edge engine. It does not just spit out rankings or generic AI advice. It explains why a player, trade, roster, or lineup decision has an edge by looking at signals like usage trends, RZ roles, injuries, o-line health, matchup context, defensive injuries, weather, travel/rest, betting environment, dynasty value, age curves, pick value, and roster construction

The other big piece is the learning loop. During the season Fantasy Brain logs recommendations, compares them to game outcomes, studies what it got right and wrong, and looks for root causes like stale data, missing context, or over/under weighted signals

The goal is for the system to improve each week by learning from both wins and mistakes I’m looking for people that are religious about fantasy to test it, throw weird edge cases at it, and tell me what’s useful, wrong, confusing, etc

Thanks!

https://t.co/yjd8ZEIbZs