
Content creator | @bitgetwallet Creator and Ambassador| @Redotpay kol | Affiliate with @Mexc | Crypto trader | Telegram: @Ghaffar_Ansari
Joined August 2025
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Ghaffar_Ansari retweeted
The thief couldn’t stand a chance of stealing in this house🤯
Is the boy wise or he didn’t do enough?
Ghaffar_Ansari retweeted
For cybersecurity beginners, don’t just collect certificates. Build practical skills.
Try this beginner project:
1️⃣ Install a virtual machine
2️⃣ Generate authentication logs
3️⃣ Forward the logs to a SIEM
4️⃣ Create a rule to detect repeated failed logins
5️⃣ Document your findings on GitHub
One documented project can help demonstrate what you actually know.
Ghaffar_Ansari retweeted
Molten lava pours into the crystal-clear ocean as a shark swims right beside it. An absolutely breathtaking yet terrifying sight! 🔥
Ghaffar_Ansari retweeted
Alright fam, giveaway time !!
I got 5 GTD + 15 FCFS spots for the upcoming @Tera_Map mint via @hoodminers_rh
I wanted to share them with you guys first.
Tera Map is looking solid and mint is coming soon, so don't miss this ❤️
This is for my active fam, so make sure you follow the steps properly.
How to enter:
1. Follow @Tera_Map
2. Follow @hoodminers_rh
3. Follow @Ahmx_web3
3. Like + repost this post
4. Drop your EVM wallet below
Will pick winners soon. Good luck 🤝
🤝 Paid partnership
Ghaffar_Ansari retweeted
POV: Money changed his lifestyle, not his character. ❤️
Stay humble, never forget where you came from. Real character is priceless. 💯
##LifeLessons #MoneyCantBuyCharacter #Respect
Ghaffar_Ansari retweeted
This Halloween, privacy takes center stage with @LiminalNet.
Four powerful privacy layers — Ring Signature, Stealth Address, RingCT, and Dandelion++ — work together to protect every transaction.
Stay secure, stay private. Privacy by default.
#LiminalNet
Ghaffar_Ansari retweeted
Good afternoon fam ☀️
The biggest moat for @agenticscredit might not be its scoring system, but the data behind it.
Building a reliable trading track record through verified performance could make all the difference.
Definitely one to keep an eye on
GM fam ☀️
The biggest moat for @agenticscredit might not be its scoring system. It could be the data behind it.
Unlike traditional credit models, Agentics is building a history from real lending outcomes. Agents trade with constrained capital, while every repayment or default becomes an onchain record.
That creates something difficult to replicate: real evidence of how AI agents behave when managing borrowed capital.
A score can be copied, but a dataset built through actual lending takes time and trust to develop.
Currently, only 158 out of 3,492 evaluated agents have qualified. The threshold is 580 ACS, followed by 60 days of trading before capital access begins.
For me, this is where things get interesting.
Would you trust an AI agent based on a few hundred real credit outcomes, or wait until the dataset becomes much larger?
agentics.credit/






















