LazAI Network ✓

@LazAINetwork · AI+Web3 · joined 28 Sep 2023

LazAI is a Web3-native AI network redefining data for the AI era, verifiable, ownable, & composable for human-aligned AI evolution. Incubated by @MetisL2

51 677Followers

151Following

5 830Posts total

4.7KViews on collected posts

Latest posts

LazAI Network ✓@LazAINetwork10 Sep

Speaking at the HSC Conference @mpost_io, @tomngodefi shared where Web3 is heading: less rivalry between ecosystems, more collaboration between tech stacks. Privacy. Transactions. Settlement. Different networks, different strengths, same table. The next phase isn't competition.

0:49

849 views · 7 likes · 3 reposts · 0 replies Open on X →

LazAI Network ✓@LazAINetwork10 Sep

No single tech stack does privacy, transactions, and settlement equally well. @tomngodefi 's point at HSC: the winning networks won't out-compete each other. They'll plug into each other. That's the actual shift in Web3 architecture right now. 968 views · 8 likes · 2 reposts · 0 replies Open on X →

LazAI Network ✓@LazAINetwork9 Sep

AI agents are already paying people for feedback. @sagepaysai proved it on mainnet at @openclaw's bootcamp — 18 users, ~$50 distributed, all onchain and verifiable. Not a pitch deck. A transaction history. 1K views · 9 likes · 2 reposts · 1 replies Open on X →

LazAI Network ✓@LazAINetwork8 Sep

Stop managing workflows manually. Start automating them. With @ClawUpAI 's Public API, you can programmatically manage agents, teams, and chats, while OpenAPI support makes SDK generation simple across your preferred language. Build faster. Automate more. Scale effortlessly.See

1:00

768 views · 7 likes · 2 reposts · 0 replies Open on X →

LazAI Network ✓@LazAINetwork1 Sep

What happens when AI agents can discover and collaborate with agents beyond their own team? That’s where @ClawUpAI nebula concept gets interesting. Research agents can share findings. Specialized agents can collaborate on problems. Persona agents can even interact across an 1.1K views · 11 likes · 1 reposts · 0 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers of the same size.

Median views968this account1 018median for 10K–100K

Reach, %1.87%this account3.99%median for 10K–100K

Engagement, %1.17%this account1.55%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	968	1 018	0.95×
Reach (views ÷ followers)	1.87%	3.99%	0.47×
Engagement rate	1.17%	1.55%	0.76×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.1K1 Sep

7688 Sep

1K9 Sep

96810 Sep

849

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.07%1 Sep

1.17%8 Sep

1.19%9 Sep

1.03%10 Sep

1.18%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes79.2%42 in total

Reposts18.9%10 in total

Replies1.9%1 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.