🚀 Calling all my Web3 friends!
I'm joining the @UtribeOne Zealy Season 1 Sprint, and it's a great chance to earn rewards, complete fun quests, learn about the ecosystem, and connect with an amazing community.
https://t.co/hfo2Vexs0R
#Utribe
Token sales don't get judged only on day one. They get judged after TGE 🧾⏱️
If your custom claims interfaces are clumsy or drop RPC connections during peak traffic, users lose long-term trust immediately.
The post-presale claim interface is the literal front door to your product ecosystem. Don't build it as an afterthought. 👇
https://t.co/VVoLIquFUL
🚀Introducing the Web3Payment Solutions Community BD Program
Know promising Web3 projects? Get paid for connecting them with us.
💰Earn $2,000 per successful referral
No tiers. No complicated structures.
One closed deal = one payout.
We’re looking for:
• Token launches
• Presales & fundraising
• Payment infrastructure projects
• End-to-end Web3 launch support
Who can join?
• Connectors & BD specialists
• KOLs & community leaders
• Agencies & launchpads
• Consultants with founder access
To qualify:
✅Follow @web3paymentsolutions
✅Join our Telegram
✅Join our Discord
Important:
• First-registration basis
• Ownership via Discord ticket timestamp
• 30-day referral ownership
• New projects only
Learn more 👇
https://t.co/ZrOKK6dVt6
This is only the beginning. More partner & community earning opportunities coming soon👀
Cross-border payments should be seamless in 2026, yet for millions of Africans they’re still slow, expensive, and unreliable. Why is sending money across African borders still so difficult? Let’s talk about it👇
@UtribeOne@MamadouTribeOne@olaniyi_Alabi_@faizahnaserian
IBM saying AI job impact is overstated points to a quieter shift: work is not disappearing evenly, it is being restructured around tools, workflows, and accountability.
Sertn focuses on that accountability layer for AI systems moving into production.
Syndicate x @flipper_trade Live Stream 🎙️
Ready to explore the future of AI-powered trading?
Join us for a live session where we'll dive into Flipper's vision, walk through the testnet, and show you how AI routing is changing trade execution.
Speakers:
@0xdeferl - Head of Community at Syndicate
@narekmv - COO & Co-founder of Flipper
📅 June 29 - 17:00 CET
👀 Stay until the end for a Secret Code and an exclusive reward.
Set your reminder and join us 👇
🔥 New Syndicate x Flipper quest is LIVE on Zealy
200 $USDC prize pool. New tasks open up over time
so check back so you don't miss any.
⏳ Deadline: July 1
👉https://t.co/GTQN2eXMy3
To the Super Eagles 🇳🇬
Your speed,resilience,and fighting spirit have always made Nigeria special. Play fearless, trust each other,and show the world what this badge means. Whatever happens,I’ll be proud to stand behind you.Let’s make Africa proud! 💚🦅
#FanZone2026#Olymptrade
The @inference_labs Zealy campaign has been a great way to learn about verifiable AI instead of just farming points. I like that it encourages understanding the tech behind the project. Looking forward to seeing the ecosystem grow. 🚀
1/ Computer vision detections are useful.
Workflows are where they become operational.
Sertn's workflow builder now supports object tracking, velocity and direction monitoring, zone overlap detection, Google Sheets exports, CSV outputs, and event logging.
@inference_labs DSperse by @inference_labs proves that smarter verification scales better.
By verifying only the most important computations, it reduces overhead while keeping AI inference verifiable. A practical win for zkML. 🚀
Enterprise AI accuracy layers are becoming a category because companies are realizing the model answer is not enough. They need confidence, traceability, and proof.
At Inference Labs, we think verification should sit beside every AI decision from day one.
https://t.co/91z1UYbDP9
@inference_labs One idea I took from @inference_labs’ DSperse:
Precision beats proving everything. Targeted verification keeps AI outputs trustworthy while making zkML faster, lighter, and more practical for real-world deployment. ⚡
@inference_labs DSperse by @inference_labs takes a practical approach to zkML:
Verify the parts of inference that actually matter, not the entire pipeline. More efficiency, lower costs, and a clearer path to scalable verifiable AI. 🚀