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Sorsa Tier
Sorsa Score
64 live auctions163 KOLs listed
GuruVerseX
@GuruVerseX25.1K Followers
Sorsa ScoreTier 3. Credible
754+20
100500100015002000

✨Sharing Knowledge | Research ✨ Contact: https://t.me/Guruversex99 ✨Ambassador: @StandX_Official | @RealGoOfficial | @CNPYNetwork

Here's a strange way to lose money in DeFi. Trust the right event from the wrong contract. I've been digging into @quipnetwork's QuipSwap integration docs, and one detail caught my attention. A transaction receipt can contain events from several contracts. Another contract can even emit an event with the same signature. If your trading bot blindly decodes those logs, it might mistake a fake signal for a legitimate settlement. Now imagine an AI agent handling cross-chain swaps where every second matters. One wrong signal. One missed claim window. Potentially expensive consequences. That's why I like how QuipSwap's TypeScript SDK handles verification. It filters events by the actual Omnibus contract address and checks that revealed secrets hash back to their expected locks. The SDK also never holds private keys or signs transactions. A sensible separation of responsibilities. My advice to @quipnetwork: make verified event handling the default for every automated integration. Could future SDKs provide built-in monitoring and recovery alerts too? Because in agentic finance, reading the blockchain correctly is part of transaction security. And bots don't get to blame their glasses.

Regular post. Direct deal at a set price, no auction.

Joker 🐳
@JokerIBlack24.9K Followers
Sorsa ScoreTier 2. Noted
487+84
100500100015002000

Contributor @0xhazels , Trade in @DecibelTrade

gHazels >The refund from @0xhazels just safely landed in my wallet today. >After the recent chaos, it feels great knowing I put my trust in the right place. >Massive respect to the dev team for taking accountability and making things right for everyone. #WEAREHAZELS

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Ali
@Svrkee0123.4K Followers
Sorsa ScoreTier 3. Credible
877+189
100500100015002000

KOL & Investor ▪︎ DM For Collabs ▪︎ Creator & Exploring Web3 one narrative at a time.

Good Morning 🌅 Crypto security shouldn’t depend on a user having a perfect memory. Every payment comes with small decisions that can have serious consequences: choosing the right network, checking an address, and making sure private wallet activity stays private. The problem is that we keep asking users to handle these risks manually. @Americanfort_io takes a different approach with Send to Name. Instead of passing around long wallet addresses, you can send to a readable name while a fresh, one-time address is generated for each payment. The transfer still settles on the destination blockchain. What changes is how much responsibility falls on the person making the payment. That distinction matters. Good security shouldn’t require users to remember extra steps every time they transact. The real progress in crypto won’t just come from making transactions faster. It will come from making everyday mistakes harder to make and privacy easier to maintain. The safest workflow is often the one that doesn’t ask users to think about every risk themselves.

Regular post. Direct deal at a set price, no auction.

atik
@atiqur290421.7K Followers
Sorsa ScoreTier 3. Credible
784+203
100500100015002000

Web3 Growth Partner | Scaling crypto projects through content, distribution & community | 21K+ audience | DM for paid collaborations

Good Afternoon Friends... Remix lets you type a sentence and get a playable game. Then the question shifts from "can I play?" to "what would I build?" @RemixGG_ turns the feed into both: play, create, remix. Strong games can become free standalone apps, and creator monetization is on the way. I'd rather join the people building the feed than only scroll it. https://remix.gg/@racingduke8527

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Butterfly
@butter686821.6K Followers
Sorsa ScoreTier 2. Noted
439+9
100500100015002000

AI agents | prompt engineering | exploring machine learning | building & testing AI workflows

i wanted to see how far a simple idea could go. so i turned Einstein, a chalkboard and one equation into a 30s cinematic story with P-Video-2-Pro. the part i liked most was watching the equation turn into a whole universe. @PrunaAI #madebypruna

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Leon
@LeonWgmii21K Followers
Sorsa ScoreTier 3. Credible
684+31
100500100015002000

defi maxi | shitposter Collab DM @LeonWgmii

No pinned post yet.

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Canglong
@cangg_l21K Followers
Sorsa ScoreTier 3. Credible
713+17
100500100015002000

pursue chaos and challenges Contributer: @Cysic_xyz l @Injective 🥷 https://t.me/dmdtvl

No pinned post yet.

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ハヴィ
@HaVy6920.9K Followers
Sorsa ScoreTier 2. Noted
435+7
100500100015002000

AI agents & prompt engineering 🤖 | building, testing & breaking AI workflows | learning ML in public

sometimes the biggest breakfast starts with the tiniest dragon. made this colorful little story with P-Video-2-Pro, and @PrunaAI really impressed me with the expressive character animation, cinematic camera movement, and playful 3D visuals. that egg definitely had a surprise waiting. 😂 @PrunaAI #madebypruna

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Shafique Ahmad
@Shafique90320.7K Followers
Sorsa ScoreTier 3. Credible
942+202
100500100015002000

Influencer • Full Time Web3 Enthusiast• Creator • Unemployed DM ME🏓 for Collab and Paid Promotion

Happy Thursday gAxis CT Lets talk about @axisrobotics. AI can already do impressive things with text images code and other digital information. But the real world is a different game. A robot has to deal with things that are difficult to predict. Objects move. People move. Lighting changes. Environments change. And sometimes one small change can completely affect the result. If you want a robot to pick up an object seeing the object is not enough. It needs to understand how that object behaves. How much force to use. What happens if it slips. And what to do when things go wrong. Thats why real-world data matters. This is what caught my attention about @axisrobotics. Axis is working toward a data engine for Physical AI helping machines learn from real-world interactions. We taught AI how to understand the digital world. Now we are teaching it how to understand reality. And reality is messy. I don’t think one company or one model will build Physical AI alone. It will take robots sensors models developers, and huge amounts of real world data. So maybe the bigger question isn’t: How smart can AI become? How much real world experience can we give it? Thats where things get really interesting. https://s.kaito.ai/We8V08p

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