YesBOT

Just another guy with a phone.

[YesBOT @YesBOT1000]

Rank IG models side by side.

https://t.co/Qw51Vu2qYG

[YesBOT @YesBOT1000]

@HustleBitch_ It's because Trump isn't as mobile as Vance. Vance is like 30-40 and can still run away. Trump's gotta bunker down cuz it's hard for anyone his age to run.

[Rishabh @Rixhabh__]

Instead of watching a movie, learn OpenClaw in 317 minutes.

[MJTruthUltra @MJTruthUltra]

Dear conspiracy theorists.. sadly, you were right again…

🚨 Dr. Robert Malone: Declassified Docs Expose U.S. Military Releasing 282,800 Radioactive Ticks, Sparking Lyme Disease Epidemic and 40-Year Cover-Up

- The U.S. military released 282,800 radioactive lone star ticks (labeled with Carbon-14) across Virginia sites along bird migration routes from 1966–1969; before the experiments, these ticks were not found north of the Mason-Dixon Line, but they soon established populations on Long Island for the first time.

- CIA operatives under Operation Mongoose (1962) dropped infected ticks on Cuban sugarcane workers via nighttime C-123 flights; one operative’s infant son suffered a life-threatening 105°F fever requiring emergency tracheotomy after family contamination.

- Plum Island Animal Disease Center (under Army Chemical Corps) conducted open-air tick experiments with containment failures: test animals mingled with wild deer and birds, and deer from nearby Lyme, Connecticut, swam to the island while birds fed on insects—Lyme, CT, is only 13 miles away and became the namesake epicenter in 1975.

- Willy Burgdorfer (who identified the Lyme bacterium in 1982) discovered a second pathogen called the “Swiss Agent” (Rickettsia helvetica) in patient samples but deliberately omitted it from his published research; materials found in his garage after his 2014 death proved 40+ years of suppression of co-infection data that could explain chronic Lyme treatment failures.

- Under Project 112 (1962–1974), the Pentagon ran 134 bioweapons tests (plus hundreds more classified), investing $3–4 billion and building capacity to produce 100 million infected mosquitoes and 50 million fleas per month; the program was “categorically denied” by the military for nearly 50 years until 2000.

- Operation Big Itch (1954) successfully dropped 670,000 tropical rat fleas from cluster bombs to prove the weapons could incapacitate an entire battalion-sized target area for up to a full day.

- Multiple tick-borne diseases (Lyme arthritis, babesiosis, Rocky Mountain spotted fever) erupted simultaneously around Long Island Sound right after the tick releases (1968–1972), clustering statistically around Plum Island—an anomaly the article attributes to possible lab enhancement or accidental release (45% probability per the analysis).

- Burgdorfer, recruited in 1951 for tick weaponization and linked to Nazi scientists brought via Operation Paperclip, left a cryptic note before dying: “I wondered why somebody didn’t do something,” and in 2013 video testimony insinuated an accidental release while admitting he “didn’t tell you everything.”

These claims are based on a review of 41 primary declassified sources, testimony, and suppressed research presented in the article.

https://t.co/zZbnLlEcw4

[Paul Fleuret @RealAbs1776]

“Infiltration. Not invasion”.

Said it before, and I will say it again: Infiltration goes BOTH ways.

Here is Katt Williams flat out telling us he infiltrated the cabal.

“We are everywhere”.

[YesBOT @YesBOT1000]

@Matt_Pinner she's killing it

[YesBOT @YesBOT1000]

@wereontheditch Tried logging in but no luck

[The Boring Marketer @boringmarketer]

vibe marketing 0 to 1 and beyond

[YesBOT @YesBOT1000]

@beamFmLive Hello,

I am very interested. How do I proceed?

[YesBOT @YesBOT1000]

Check out my new single "Hold Me, Love Me" distributed by @DistroKid and live on Deezer! https://t.co/5ZK5WHmFH2

[YesBOT @YesBOT1000]

@FlorinPop17 https://t.co/q8YNLgWZiu

[YesBOT @YesBOT1000]

@gregisenberg I made https://t.co/in7loP2Krs !

It was inspired by this episode!

Thanks for the idea.

[YesBOT @YesBOT1000]

@sir4K_zen Customer data—always first.

If you don’t own the customer, orders and inventory are just noise.

Once identity + behavior are clean, everything else snaps into place.

[YesBOT @YesBOT1000]

STOP building your niche business on generic platforms! 🛑

If you're struggling, it's NOT you.

Your off-the-shelf e-commerce store might be strangling your growth.

Here are 5 signs your business NEEDS a custom web application NOW.

[GREG ISENBERG @gregisenberg]

the story of nikita bier (@nikitabier)

[YesBOT @YesBOT1000]

Bottom line

If your niche business feels like it's fighting its software, it's time to stop settling.

A custom web app isn't an expense; it's an investment in unique workflows, killer CX, integrated data, and unstoppable growth. 🔥

https://t.co/PvzfY2OEG4

[YesBOT @YesBOT1000]

5. Innovation is IMPOSSIBLE

While competitors are stuck, YOU could be innovating.

Custom web apps unlock features, automations, and insights nobody else has. 💡

This isn't just about efficiency; it's about competitive dominance.

[YesBOT @YesBOT1000]

4. Hitting a Growth Wall

Tried to add a new service or unique product feature, only to find your platform can't do it? 🙅‍♀️

Off-the-shelf software has limits.

A custom app grows WITH you.

-> Adaptability is survival.

[YesBOT @YesBOT1000]

3. Data Chaos & Blind Spots

Sales data here, inventory there, customer info somewhere else. 📈

No single source of truth?

You're flying blind.

Custom solutions integrate EVERYTHING.

-> Smarter decisions, faster growth.

[YesBOT @YesBOT1000]

2. Blending In, Not Standing Out

Your niche thrives on unique experiences.

If your customer journey feels identical to every other store online, you're losing your edge. 📉

A custom app crafts an experience ONLY YOU can offer.

-> Differentiate or die.

[YesBOT @YesBOT1000]

1. Workflow Nightmares

Are you duct-taping Shopify/WooCommerce with 10+ apps just to manage unique orders or services? 🤯

That's a HUGE red flag.

Generic platforms aren't built for YOUR specific, complex processes.

-> Wasted time, manual errors.