Feed/Other/@Web3BlockWave
18
Score · neutral

@Web3BlockWave

Web3 BlockWave Podcast

Skipped detailed analysis: Podcast/media outlet, not an investable crypto project, protocol, or token.

AI Analysisneutral

Confidence
30%

Skipped detailed analysis: Podcast/media outlet, not an investable crypto project, protocol, or token.

Token
No · pre-launch
Chain
Stage
Category
Other

Recent tweetsSee all on 𝕏 →

“What happens when someone inside one of the most iconic retail platforms of the last cycle sees its limits up close?” @kenzimerkie speaks with @jayendra_jog, Co-Founder of @SeiNetwork, to trace the path that took him from the early days of Robinhood in Palo Alto — through hypergrowth, the IPO era, and the shock of the GameStop moment — to building in crypto. They discuss how witnessing the mechanics and constraints of traditional financial infrastructure firsthand reshaped his thinking, why the suspension of buys during one of retail’s most defining episodes left such a lasting impression, and how that experience ultimately pushed him toward systems designed to be more open, more resilient, and less dependent on centralized control.
2w ago123💬 15🔁 20
“High-performance infrastructure only matters if it expands what users can actually do onchain — and makes that experience accessible at scale.” @sachiminara sits down with @jayendra_jog, Co-Founder of @SeiNetwork, to examine why parallelized execution is becoming increasingly important for the next generation of onchain applications. From trading and DeFi to high-frequency user activity that simply breaks in low-throughput environments, they discuss how lower fees and greater execution capacity can fundamentally reshape the user experience — especially for smaller participants who are otherwise priced out. They also explore how this plays out in practice through projects like Bancor’s Carbon DeFi, where Sei has emerged as the ecosystem driving the strongest activity and volume, underscoring how performance advantages translate into real adoption.
2w ago77💬 6🔁 14
“Virtual machines are like cities — once they reach critical mass, they become magnets that are incredibly hard to displace.” @Dikshaalyer catches up with @jayendra_jog, Co-Founder of @SeiNetwork, to unpack this idea at a deeper level — why systems with flaws can still dominate simply because that’s where the activity, liquidity, and people already are. From New York and San Francisco to onchain environments like the EVM, they explore how network effects compound over time, why newer ecosystems struggle to pull users away even with better tech, and what it actually takes to break that inertia.
2w ago83💬 8🔁 15
This week’s episode features Jayendra Jog (@jayendra_jog), Founder of @SeiNetwork. We dive into Jay’s journey from traditional finance at Robinhood to building Sei Network, and unpack how his view of markets, users, and product feedback shaped the way he thinks about blockchain infrastructure. The conversation explores the parallels between established cities and virtual machines: why dominant systems like the EVM are so difficult to displace, what makes developers stay, and what it actually takes for a new ecosystem to earn attention. We also dig into the need for higher throughput in Web3, how parallelization can help solve today’s performance limits, and why scalability matters if crypto applications are going to serve real users at a much larger scale. Jay also reflects on the role of memecoins, not just as speculation, but as community-driven movements that can reveal how culture, attention, and network effects form onchain.
2w ago117💬 12🔁 18
“Bitcoin was the first distributed systems paper I read with an economic layer built into it — and that changed everything.” @kenzimerkie catches up with @averyching, Co-Founder & CTO of @Aptos, to trace his journey from high-performance computing and supercomputers, to scaling data infrastructure at Meta, to discovering Bitcoin and realizing that crypto was distributed systems with incentives natively embedded — the insight that ultimately led him to co-found Aptos Labs.
1mo ago125💬 23🔁 4

Signal Timeline

FU
@furon_gabin followed
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Score breakdown0–100

🎯Scout quality
+15.9 / 25
📚Signal stack
0 / 30
🪪Profile
+14 / 15
✍️Content
+3 / 10
🤖AI verdict
+10 / 20
⚠️Penalties
-25 / 20
18
Below threshold (70)
Watching for additional signals.
Followers
47.0K
Account age
13.8y
Scouts
0
First seen
2h ago