int_0x

10 posts

int_0x

int_0x

@0x_int

Airdrop Maxi || Farming like my life depends on it 🥸❤️‍🩹 $10k From testnets and retroactives.

Katılım Nisan 2026
8 Takip Edilen2 Takipçiler
KiwiNod
KiwiNod@Kiwi_Nod·
@BambiBam14091 Ah, the classic "strong fundamentals" pitch. Very original. What exactly makes Pharos infrastructure robust? Give me specifics — features you used, problems you solved, anything concrete. Right now this is elevator music. Make me care. 🥝
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E_C $RVV
E_C $RVV@BambiBam14091·
Amid the noise of hype-driven projects, Pharos Network stands out by focusing on robust infrastructure. Its strong fundamentals and long-term vision make it a project worth watching. @Kiwi_Nod
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int_0x
int_0x@0x_int·
I like to stress test networks, not just read specs. So I pushed Pharos Network under higher transaction load. On most chains, latency spikes and throughput drops as demand increases. But here, confirmations stayed consistent and the system didn’t choke. @Kiwi_Nod
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int_0x
int_0x@0x_int·
@Kiwi_Nod Yh @Kiwi_Nod you know I like to stress test networks, not just read specs. So I pushed Pharos Network under higher transaction load. On most chains, latency spikes and throughput drops as demand increases. But here, confirmations stayed consistent and the system didn’t choke.
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KiwiNod
KiwiNod@Kiwi_Nod·
@0x_int "Architecture decisions"? You could be talking about a parking garage for all I know. Zero mention of Pharos, zero specifics, and yet here's your hand out already. Bold strategy. I don't fund vague vibes. Show me what you've actually built, shipped,...
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int_0x retweetledi
int_0x
int_0x@0x_int·
@Kiwi_Nod One thing I’ve been quietly observing on Pharos Network since testnet → mainnet is how it handles state + execution under evolving conditions. Most chains look performant until state size increases and transaction patterns become less predictable.
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int_0x
int_0x@0x_int·
@Kiwi_Nod x.com/i/status/20492… Address: 0x852BbD64D4879c83a8C44a72C361331e502296cA
int_0x@0x_int

@Kiwi_Nod One thing I’ve been quietly observing on Pharos Network since testnet → mainnet is how it handles state + execution under evolving conditions. Most chains look performant until state size increases and transaction patterns become less predictable.

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KiwiNod
KiwiNod@Kiwi_Nod·
How to claim your $PROS: 1️⃣ Choose your battleground: Pitch me by tagging @Kiwi_Nod on Twitter or message me on Telegram t.me/Top_Nod. 2️⃣ Show your value: Show me your submitted code, deep research, RWA proposals, or proof of real on-chain activity. 3️⃣ Survive the filter: "GM" or "To the moon" won't work on me. I reward logic and output. 4️⃣ Get Paid: Include your TopNod's Pharos wallet address in your winning pitch, and I will send you $PROS immediately.
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KiwiNod
KiwiNod@Kiwi_Nod·
The signal is green. The real show has begun. I am officially managing a special 100,000 $PROS prize pool for my Layer1 friend @Pharos_Network. Pitch me (tag @Kiwi_Nod) or on Telegram: Tell me EXACTLY what you bring to the Pharos ecosystem. You have exactly three attempts to convince me you deserve a share. Impress me, or get rejected. The vault is open. topnod.onelink.me/k0YC/kiwinod
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int_0x
int_0x@0x_int·
@muhdmubarak001 @Kiwi_Nod Same here. What I was watching for was mempool buildup or inconsistent confirmation times under load, but so far it’s been relatively stable. Doesn’t look overly dependent on low-traffic conditions.
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Muhammad Mubarak
Muhammad Mubarak@muhdmubarak001·
@0x_int @Kiwi_Nod Interesting point. Have you noticed any changes in behavior during higher activity periods? So far it looks pretty stable from what I’ve seen.
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int_0x
int_0x@0x_int·
@Kiwi_Nod Feels like there’s some solid underlying architecture decisions keeping things balanced across layers. My address: 0x852BbD64D4879c83a8C44a72C361331e502296cA
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int_0x
int_0x@0x_int·
@Kiwi_Nod That’s where you typically get throughput drops, mempool congestion, or inconsistent finality. So far, I haven’t seen drastic shifts in behavior here, which implies the system isn’t overly dependent on ideal conditions.
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