How many X (Twitter) followers does ericosiu have?

ericosiu (@ericosiu) has 43.6K X (Twitter) followers as of July 2026.

What is ericosiu's X (Twitter) engagement rate?

ericosiu's X (Twitter) engagement rate is 0.47% over the last 12 months, based on 2.12K posts.

How many likes does ericosiu get on X (Twitter)?

ericosiu received 45.7K total likes across 2.12K posts in the last 12 months, averaging 21.6 likes per post.

How many X (Twitter) impressions does ericosiu get?

ericosiu's X (Twitter) content generated 10.7M total impressions over the last 12 months.

ericosiu (@ericosiu) X Stats

t.co/SaUvnPnbuV

956K

950

27

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1mo ago

ericosiu

https://t.co/SaUvnPnbuV

t.co/Cbl7y6YtNA

528K

452

16

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2mo ago

ericosiu

https://t.co/Cbl7y6YtNA

AI service firms are commanding 30x multiples right now. Yes, thirty.

That's why a16z, Sequoia, and YC are chasing services, not SaaS.

Most agencies will see this and reach for the wrong move. They'll keep selling hours, bolt on AI, and cut headcount to pad the margin.

But that's playing the small game.

Here's why:

00:00 Why Services Beat SaaS
01:13 The $1 Software vs $6 Services Opportunity
02:52 Why Managed Growth Loops Matter
04:49 Agents, Loops, and Human Judgment
06:43 How Single Brain Powers AI Service Businesses
07:22 The Services-as-Software Manifesto
08:41 The New AI-Native Org Chart
10:13 Building Outcome-Based Offers
11:13 Final Thoughts

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1.36K

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1mo ago

ericosiu

AI service firms are commanding 30x multiples right now. Yes, thirty. That's why a16z, Sequoia, and YC are chasing services, not SaaS. Most agencies will see this and reach for the wrong move. They'll keep selling hours, bolt on AI, and cut headcount to pad the margin. But that's playing the small game. Here's why: 00:00 Why Services Beat SaaS 01:13 The $1 Software vs $6 Services Opportunity 02:52 Why Managed Growth Loops Matter 04:49 Agents, Loops, and Human Judgment 06:43 How Single Brain Powers AI Service Businesses 07:22 The Services-as-Software Manifesto 08:41 The New AI-Native Org Chart 10:13 Building Outcome-Based Offers 11:13 Final Thoughts

t.co/LGxhaM4TDn

374K

869

22

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4mo ago

ericosiu

https://t.co/LGxhaM4TDn

t.co/ySUpmxpwFo

359K

1.06K

26

156

3mo ago

ericosiu

https://t.co/ySUpmxpwFo

In twelve months, EVERY company will be running a Company Brain.

The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up.

Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution.

The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in.

You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.

337K

1.24K

78

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1mo ago

ericosiu

In twelve months, EVERY company will be running a Company Brain. The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up. Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution. The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in. You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.

Karpathy's autoresearch isn't just for AI research. You can use it for business. Imagine running 700x more experiments: - Landing pages - Creatives - AEO/SEO - Pricing - E-mails - Cold outreach - Warm outreach - AP/AR - Procurement Revenues: 📈

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4mo ago

ericosiu

Karpathy's autoresearch isn't just for AI research. You can use it for business. Imagine running 700x more experiments: - Landing pages - Creatives - AEO/SEO - Pricing - E-mails - Cold outreach - Warm outreach - AP/AR - Procurement Revenues: 📈

Every company is missing the same layer:

A company brain.

Right now, the memory of the business is scattered across calls, docs, Slack threads, dashboards, SOPs, and people's heads.

That's the part people miss when they talk about a company brain.

The value isn't a giant folder of company knowledge. Every company already has that.

The real advantage is the intelligence layer that sits between all that context and the work your team needs done.

This is the layer every AI-native company will need:

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215

1mo ago

ericosiu

Every company is missing the same layer: A company brain. Right now, the memory of the business is scattered across calls, docs, Slack threads, dashboards, SOPs, and people's heads. That's the part people miss when they talk about a company brain. The value isn't a giant folder of company knowledge. Every company already has that. The real advantage is the intelligence layer that sits between all that context and the work your team needs done. This is the layer every AI-native company will need:

t.co/3ezYwBAyEr

235K

320

9

37

3w ago

ericosiu

https://t.co/3ezYwBAyEr

Every org needs a world intelligence to operate at a 10x level. It might seem daunting, but it’s worth the investment. We’re already starting to see a multiplier at my company. Here’s how to get started:

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3mo ago

ericosiu

Every org needs a world intelligence to operate at a 10x level. It might seem daunting, but it’s worth the investment. We’re already starting to see a multiplier at my company. Here’s how to get started:

The founder who 'hired a CEO and stepped back' just shut down. Here's the email he sent me. "Eric, you were right. I thought I could hire my way to freedom. 3 years and $10M in burn later, we're done." His mistake? The same one I've made. Multiple times. He believed the fairy tale that you can bring in a CEO and disappear. That somehow a hired gun will care as much as you do about your baby. Here's what actually happened: - The CEO made 'strategic pivots' that gutted their core product. - Revenue dropped 40% in 18 months. - Their best engineers left because "the culture changed." - Customer churn hit 35% when they stopped innovating. The founder watched from the sidelines, thinking he was being smart by "not micromanaging." Truth is, no hired CEO will ever match a founder's obsession. They're playing with house money while you built the house. I've tried this move 4 times. Each time ended the same way - me jumping back in to save what was left. The successful founders I know? They stay involved. They might hire CEOs, but they're still in the trenches on what matters. There's a reason Zuckerberg, Huang, and Musk haven't "stepped back." Your company needs you more than you think. What's your take - can founders ever truly step away?

148K

332

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8mo ago

ericosiu

The founder who 'hired a CEO and stepped back' just shut down. Here's the email he sent me. "Eric, you were right. I thought I could hire my way to freedom. 3 years and $10M in burn later, we're done." His mistake? The same one I've made. Multiple times. He believed the fairy tale that you can bring in a CEO and disappear. That somehow a hired gun will care as much as you do about your baby. Here's what actually happened: - The CEO made 'strategic pivots' that gutted their core product. - Revenue dropped 40% in 18 months. - Their best engineers left because "the culture changed." - Customer churn hit 35% when they stopped innovating. The founder watched from the sidelines, thinking he was being smart by "not micromanaging." Truth is, no hired CEO will ever match a founder's obsession. They're playing with house money while you built the house. I've tried this move 4 times. Each time ended the same way - me jumping back in to save what was left. The successful founders I know? They stay involved. They might hire CEOs, but they're still in the trenches on what matters. There's a reason Zuckerberg, Huang, and Musk haven't "stepped back." Your company needs you more than you think. What's your take - can founders ever truly step away?

t.co/H6eQJdAVIu

131K

110

3

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3mo ago

ericosiu

https://t.co/H6eQJdAVIu

t.co/feOhkEBLqi

130K

544

25

48

4mo ago

ericosiu

https://t.co/feOhkEBLqi

TBPN is a 7k-live-viewer pod that sold to OpenAI for $200M because their average clip gets 257k views. Everyone's talking about the strategy. Here's the structure: 1. Format is engineered for clippability, not the other way around 3 hours/day, live, 5 days a week — massive raw inventory to mine Guest call-ins (6–8 per show) = built-in 5–10 min self-contained segments. Every guest segment is a pre-packaged clip candidate with a hook, arc, and payoff Hosts read tweets live on air → instant meme fodder + the tweet author shares the clip back (distribution loop) "High and low" aesthetic: mahogany desk + cinematic lighting + suits, BUT content is group-chat casual. Makes clips feel premium + authentic at the same time 2. The clip itself - consistent visual grammar Aspect ratio mix: native horizontal on X (where they're platform-native), 9:16 re-cut for TikTok/Shorts/Reels Opening 3 seconds: hard cut to the punchline or hot take. No intro, no ramp Captions: burned-in, large, two-color (speaker name + quote), word-level highlight Lower-third branding: TBPN bug + topic tag always visible → instant brand recognition even if muted Length: 30-90 seconds sweet spot. Guest clips run longer (2-3 min) when the take is meaty End frame: guest's handle + "@TBPN" — clip becomes an ad for itself 3. The caption/tweet wrapper Format: "[quote]" - @[guest] — always attribution-forward Second line: context (what show, what topic) — usually one sentence Never an explainer or thread. The clip does the work. Posted from @tbpn main account AND the guest usually quote-RTs → dual distribution 4. Volume + cadence ~8-15 clips per episode posted across the day (not dumped at once) Each clip tests a different hook/angle from same episode "Most popular clips of the last 2 weeks" recap posts = second-wave distribution on the winners Weekend: compilation content, "best of" threads 5. The real edge The clips aren't actually why TBPN wins - they're a symptom. The real skill is "timeline control": reading when a topic is peaking, coining phrases that spread, getting the right guest on the day a story breaks. Clips are the delivery vehicle for a bigger game of being the center-of-gravity account for tech Twitter. It seems like a no-brainer to at least try to figure out how to adapt this if you create content.

129K

360

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2mo ago

ericosiu

TBPN is a 7k-live-viewer pod that sold to OpenAI for $200M because their average clip gets 257k views. Everyone's talking about the strategy. Here's the structure: 1. Format is engineered for clippability, not the other way around 3 hours/day, live, 5 days a week — massive raw inventory to mine Guest call-ins (6–8 per show) = built-in 5–10 min self-contained segments. Every guest segment is a pre-packaged clip candidate with a hook, arc, and payoff Hosts read tweets live on air → instant meme fodder + the tweet author shares the clip back (distribution loop) "High and low" aesthetic: mahogany desk + cinematic lighting + suits, BUT content is group-chat casual. Makes clips feel premium + authentic at the same time 2. The clip itself - consistent visual grammar Aspect ratio mix: native horizontal on X (where they're platform-native), 9:16 re-cut for TikTok/Shorts/Reels Opening 3 seconds: hard cut to the punchline or hot take. No intro, no ramp Captions: burned-in, large, two-color (speaker name + quote), word-level highlight Lower-third branding: TBPN bug + topic tag always visible → instant brand recognition even if muted Length: 30-90 seconds sweet spot. Guest clips run longer (2-3 min) when the take is meaty End frame: guest's handle + "@TBPN" — clip becomes an ad for itself 3. The caption/tweet wrapper Format: "[quote]" - @[guest] — always attribution-forward Second line: context (what show, what topic) — usually one sentence Never an explainer or thread. The clip does the work. Posted from @tbpn main account AND the guest usually quote-RTs → dual distribution 4. Volume + cadence ~8-15 clips per episode posted across the day (not dumped at once) Each clip tests a different hook/angle from same episode "Most popular clips of the last 2 weeks" recap posts = second-wave distribution on the winners Weekend: compilation content, "best of" threads 5. The real edge The clips aren't actually why TBPN wins - they're a symptom. The real skill is "timeline control": reading when a topic is peaking, coining phrases that spread, getting the right guest on the day a story breaks. Clips are the delivery vehicle for a bigger game of being the center-of-gravity account for tech Twitter. It seems like a no-brainer to at least try to figure out how to adapt this if you create content.

My bet is everyone is going to have something River-like at their company.

We have been doing this for the last 2 months at my company - we call it 'Single Brain'.

Since we're a marketing services company, we have it focus on that. The speed multiplier it adds is insane.

Just think about it: ads, SEO, creative, analytics, etc. are all at your fingertips. The moment the individual sees it, they can't ever go back to the old way of working.

Watching everyone's brains accelerate has been a joy.

124K

359

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2mo ago

ericosiu

My bet is everyone is going to have something River-like at their company. We have been doing this for the last 2 months at my company - we call it 'Single Brain'. Since we're a marketing services company, we have it focus on that. The speed multiplier it adds is insane. Just think about it: ads, SEO, creative, analytics, etc. are all at your fingertips. The moment the individual sees it, they can't ever go back to the old way of working. Watching everyone's brains accelerate has been a joy.

We are hiring forward deployed engineers from around the world. The talent we’ve been talking to coming from X has been incredible. Many engineers that go through our ‘beat AI’ challenge (in my profile) have been remarkable. If that’s you, take the challenge. 😉

117K

630

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2mo ago

ericosiu

We are hiring forward deployed engineers from around the world. The talent we’ve been talking to coming from X has been incredible. Many engineers that go through our ‘beat AI’ challenge (in my profile) have been remarkable. If that’s you, take the challenge. 😉

This is the new AI forward agency org chart.

The old model was functions, handoffs, reports, and labor arbitrage.

The new model is outcomes, loops, agent fleets, and systems memory.

Every role owns a number. Every loop has feedback. Every workflow writes back to the company brain.

This is how we're thinking about it:

114K

682

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98

1mo ago

ericosiu

This is the new AI forward agency org chart. The old model was functions, handoffs, reports, and labor arbitrage. The new model is outcomes, loops, agent fleets, and systems memory. Every role owns a number. Every loop has feedback. Every workflow writes back to the company brain. This is how we're thinking about it:

t.co/p3aLVdC9dC

112K

289

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3mo ago

ericosiu

https://t.co/p3aLVdC9dC

t.co/YfSuTchDgh

107K

935

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5mo ago

ericosiu

https://t.co/YfSuTchDgh

t.co/F7vSA9XlHI

100K

329

8

41

4w ago

ericosiu

https://t.co/F7vSA9XlHI

ericosiu

ericosiu

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