Young Captain 💻

9K posts

Young Captain 💻 banner
Young Captain 💻

Young Captain 💻

@youngcaptain356

Content Creator ➫ Community Manager ➫ Researcher ➫ KOL ➫ Ambassador @DRVNLABO,@FTLB_io ➫ Co-signed by @Captainjack125

Katılım Temmuz 2025
359 Takip Edilen1.3K Takipçiler
Sabitlenmiş Tweet
Young Captain 💻
Young Captain 💻@youngcaptain356·
Hey Web3 friends, I’ve been thinking… 🤔 AI is everywhere, but here’s the thing: it’s only as smart as the data it learns from. Bad or unchecked data can make AI unreliable, even dangerous in real-world situations. Here’s why @PerleLabs approach really caught my eye 👇🧵
Young Captain 💻 tweet media
English
116
32
151
12.2K
Ency
Ency@0xEncy·
Trying TradFi futures for the first time can be intimidating. I’ve been there watching positions swing while worrying about losses. It can stop you before you even start. @Phemex_official built a safety net for that exact reason. $50,000 is reserved to cover first trade losses for new TradFi futures traders. First come, first served. This isn’t just a gimmick. It’s real risk mitigation that lets you test strategies, understand execution, and experience market behavior without fear of losing your initial capital. First trades are where lessons hit hardest. Without protection, one mistake can discourage beginners. With it, you gain confidence and insight into how indices move in real-time. Experienced traders also benefit indirectly. Seeing new traders enter with support adds liquidity and activity, creating a healthier market and smoother price action for everyone. The protection applies only once, so it encourages smart entry. You’re still learning, but with the knowledge that a first slip won’t cost you everything. Combine this with low entry requirements and you have a perfect environment for experimentation. Test small, learn fast, and refine your strategies safely. For anyone serious about learning TradFi futures without fear, this is a rare opportunity. Jump in, try your first trade, and let the market teach you with a safety net in place.
English
83
74
155
606
Pluto
Pluto@TradeOnPluto·
watching myself go into memescope monday just to get liquidated for the 69420th time this month
English
48
11
67
329
DeaN 👳
DeaN 👳@De_aN6·
Running a global business used to require a lot of setup. Local bank accounts Payment processors Manual reconciliation It worked, but it was slow and fragmented. What’s interesting about platforms like Infini is the shift toward stablecoin based operations. Instead of waiting on traditional rails, teams can: receive payments manage spending pay contributors All within a more flexible structure. For small teams moving fast, this kind of setup removes friction that normally slows growth. It’s less about replacing systems overnight, and more about simplifying how global teams operate. @0xinfini #infinicard
DeaN 👳 tweet media
English
31
57
177
18.9K
Counselor
Counselor@Counselor_Ayo·
Most people come to Web3 for the noise, the quick flips, the trends But the real value shows up when people actually connect ideas and build together That’s what stands out on @XOOBNetwork XOOB not just about posting, it’s about conversations that carry weight, actions that are visible onchain, and influence that actually means something If you’re tired of just scrolling and want your voice to count, you’ll get it when you step in here
Counselor tweet media
English
53
37
112
4K
Investor Mighty
Investor Mighty@investorMighty2·
Blockchain adoption isn’t just about tokens or NFTs, it’s about solving real problems people face every day. One of the clearest examples is 👇 𝐃𝐈𝐆𝐈𝐓𝐀𝐋 𝐈𝐃𝐄𝐍𝐓𝐈𝐓𝐘 @MandalaChain is tackling the challenge of verifiable, portable identities in the digital age with a simple but powerful idea, “instead of relying on paper documents, siloed databases, or slow verification processes, individuals can have a secure, blockchain-based identifier that they fully control”. The first large-scale deployment of this approach started in Indonesia. Working with the country’s .id domain authority, Mandala Chain’s IDCHAIN lets people create decentralized identifiers (DIDs) that are instantly verifiable across banks, government services, and other institutions. Here’s why this matters in the real world: 
⇛𝙄𝙉𝙎𝙏𝘼𝙉𝙏 𝙑𝙀𝙍𝙄𝙁𝙄𝘾𝘼𝙏𝙄𝙊𝙉: Hospitals, banks, and agencies can confirm identities in seconds. ⇛𝘿𝘼𝙏𝘼 𝙊𝙒𝙉𝙀𝙍𝙎𝙃𝙄𝙋: Individuals control their personal data, no central server holds it all.
⇛𝙏𝙍𝙐𝙎𝙏 𝙒𝙄𝙏𝙃𝙊𝙐𝙏 𝙈𝙄𝘿𝘿𝙇𝙀𝙈𝙀𝙉: Institutions rely on the same source of truth without duplicating checks. This isn’t hypothetical. Indonesia’s rollout shows how blockchain can move beyond hype to solve tangible, everyday problems. The model could be adapted elsewhere, proving that digital identity on blockchain is not just technical, it’s human-centric, practical, and scalable. Real blockchain adoption starts when technology like @MandalaChain quietly solves everyday problems, giving people control over their digital identity while helping institutions work more efficiently.
Investor Mighty tweet media
English
26
4
30
1.9K
Ummulkhair
Ummulkhair@_Ummulkhair_·
PULSETRADER AND THE FUTURE OF EFFICIENT TRADING IN THE DECIBEL ECOSYSTEM Introduction As digital asset markets mature, the conversation around trading is gradually shifting. It is no longer just about identifying opportunities it is about capturing them efficiently. In this evolving landscape, @pulsetrader_ emerges as a platform focused on a critical but often underestimated factor execution quality. Built within the Decibel ecosystem, it aims to refine how traders interact with the market by reducing friction and improving responsiveness. The Hidden Cost of Inefficient Trading Trading platforms often emphasize features, analytics, and advanced tools. However, a key issue persists beneath the surface Even the best decisions can fail if they are executed poorly. Common challenges traders face include: Latency between decision and execution Inconsistent order fulfillment Slippage during volatile conditions Interfaces that slow down user actions These inefficiencies create a gap between what traders intend to do and what actually happens in the market. Over time, this gap can significantly impact performance. PulseTrader’s Approach PulseTrader takes a more focused route by addressing the mechanics of trading itself. Rather than adding layers of complexity, the platform emphasizes Speed - enabling quicker reaction to market changes Precision - improving how orders are processed Simplicity - reducing unnecessary steps in execution This approach aligns with a broader trend in financial technology optimizing systems not just for functionality but for outcome efficiency. Design Philosophy Built Around the Trader One of PulseTrader’s strengths lies in its user centered design. 1. Streamlined Interaction The platform minimizes distractions allowing users to concentrate on decision making rather than navigation. 2. Real Time Responsiveness Markets move continuously and PulseTrader reflects this reality by prioritizing responsiveness in its core design. 3. Reduced Cognitive Load For newer traders too many features can be overwhelming. By simplifying the experience PulseTrader makes trading more approachable without sacrificing performance. Why Execution is a Competitive Advantage In traditional thinking traders compete on strategy. In reality they also compete on speed and efficiency. Consider two traders with the same idea One executes instantly The other experiences delay The difference in outcome can be significant. PulseTrader helps narrow this gap by ensuring that users are better positioned to act at the right time. Contribution to the @DecibelTrade Ecosystem PulseTrader plays an important role beyond individual users. Its impact extends across the Decibel ecosystem in meaningful ways 1. Enhancing Market Efficiency Improved execution contributes to smoother trading activity benefiting all participants. 2. Driving Engagement When users experience fewer barriers they are more likely to remain active and explore more opportunities. 3. Supporting Ecosystem Growth Efficient trading tools attract both new and experienced participants strengthening the overall network. 4. Encouraging Better Trading Practices By focusing on execution PulseTrader indirectly promotes discipline and timing awareness among traders. Why Users Should Pay Attention PulseTrader is particularly relevant for Beginners who need a simpler and more reliable entry point into trading Active traders who depend on speed and consistency Ecosystem participants who benefit from improved infrastructure Its value proposition is clear It helps users do what they already intend to do only faster and more effectively. A Practical Perspective Instead of trying to redefine trading entirely PulseTrader improves a foundational layer of the experience. This makes it Easy to understand Practical to use Immediately beneficial In a space often driven by hype this kind of grounded improvement is both rare and necessary. Conclusion PulseTrader represents a shift toward efficiency driven innovation in digital asset trading. By focusing on execution quality it addresses a real and persistent challenge that affects traders at every level. Within the Decibel ecosystem its role is both functional and strategic enhancing user experience while contributing to broader market efficiency. As trading continues to evolve platforms that prioritize speed clarity and reliability will define the next phase of growth. PulseTrader is a strong step in that direction.
Ummulkhair tweet media
English
43
8
75
1.2K
R£ĄŁ ĄƁĮÇŔƳPŦ ꩜³ 𓃵
Growth is not just about numbers, it’s more than getting people to notice you. In communities, personal brands, and Web3, the real work starts after people come in. If people don’t understand what you offer, what to do, or what they gain, they won’t stay.
R£ĄŁ ĄƁĮÇŔƳPŦ ꩜³ 𓃵 tweet media
English
17
14
110
211
Web3Terminator
Web3Terminator@Web3_terminator·
日本の𝕏は素晴らしい!🇯🇵
Web3Terminator tweet media
日本語
16
0
19
138
Micano 01🌱🌾💚
Micano 01🌱🌾💚@OyakhiromenM·
Building in silence while the world catches up From cutting-edge quantum ideas to decentralized innovation, the future isn’t waiting—and neither are we. Backed, focused, and moving with precision. Only velocity can be known. @quipnetwork
Micano 01🌱🌾💚 tweet media
English
18
68
103
256
Ðarhtẁiṅż🔅
Ðarhtẁiṅż🔅@Darhtwinz09·
Web3 grinders: build what lasts, not what trends. Permacast × OG_Labs signals a shift to durable infrastructure. Permacast focuses on permanent, composable media, enabling content to be stored, referenced, and reused across decentralized apps, making knowledge truly immutable
Ðarhtẁiṅż🔅 tweet media
Ðarhtẁiṅż🔅@Darhtwinz09

Grinders, build quietly infra wins, consistency compounds. Permaweb_DAO → permanence, ownership, governance. It anchors data on immutable storage, ensuring content is always accessible and resistant to censorship. Through community-led decisions, it builds a long-term

English
17
42
57
447
Sussan Apeh ☄️❤️‍🔥|| Video Creator || Youtuber
𝐃𝐀𝐘 𝟑𝟔 𝐎𝐅 𝐖𝐑𝐈𝐓𝐈𝐍𝐆 𝐄𝐋𝐎𝐍 𝐌𝐔𝐒𝐊 𝐔𝐍𝐓𝐈𝐋 𝐇𝐄 𝐍𝐎𝐓𝐈𝐂𝐄𝐒 𝐖𝐄𝐁𝟑 Dear @elonmusk, Let’s talk about verification. X tried to fix identity with checkmarks. Pay, verify, get visibility. Simple system. Also slightly chaotic. Now everyone is verified, which somehow makes verification feel less… definitive. Interesting outcome. The internet still has the same problem. Nobody is completely sure who is credible, who is consistent, and who just arrived yesterday with confidence and a subscription. Web3 has been exploring a different approach. Not identity based on a badge, but identity based on history. Wallet activity, on-chain actions, verifiable contributions that can’t be edited or quietly reset. Not perfect. Still evolving. But at least the signal doesn’t depend on a monthly payment. If I were you, I’d find it interesting that X solved visibility before it solved credibility. Now everyone can be seen. Not everyone can be trusted. And those two things don’t always go together. You’ve built systems where performance reveals itself over time. Here, identity still feels like something you can upgrade instantly. Which is convenient. And slightly misleading. Maybe the badge was never meant to solve trust. Or maybe trust just needs a system that remembers more than a profile page. Hard to tell. 𝘠𝘰𝘶𝘳𝘴 𝘴𝘪𝘯𝘤𝘦𝘳𝘦𝘭𝘺, 𝘈 𝘧𝘶𝘵𝘶𝘳𝘦 𝘷𝘦𝘳𝘴𝘪𝘰𝘯 𝘰𝘧 𝘺𝘰𝘶.
Sussan Apeh ☄️❤️‍🔥|| Video Creator || Youtuber tweet media
Sussan Apeh ☄️❤️‍🔥|| Video Creator || Youtuber@sussanapeh

𝐃𝐀𝐘 𝟑𝟓 𝐎𝐅 𝐖𝐑𝐈𝐓𝐈𝐍𝐆 𝐄𝐋𝐎𝐍 𝐌𝐔𝐒𝐊 𝐔𝐍𝐓𝐈𝐋 𝐇𝐄 𝐍𝐎𝐓𝐈𝐂𝐄𝐒 𝐖𝐄𝐁𝟑 Dear @elonmusk, Let’s talk about X Money again, but from a slightly less polished angle. People can send money. Soon they’ll store money. Maybe even rely on it. All inside the platform. Smooth experience, clean interface, everything working exactly as expected. Until something goes wrong. Account flagged. Access restricted. Funds temporarily unavailable. Very rare, I’m sure. Also very possible. That’s the part Web3 keeps obsessing over. Not how money moves when everything works, but what happens when it doesn’t. Self-custody. No platform holding the funds. No silent dependency on a system staying in your favor. Just direct control, with all the responsibility that comes with it. Less convenient. Much harder to interrupt. If I were you, I’d find it interesting that X is about to handle user funds at scale while still operating on a model where access to the platform controls access to the money. Tight coupling. Efficient until it isn’t. You’ve built systems where failure points get removed, not managed. Here, the failure point is still sitting right in the middle. Maybe that’s temporary. Maybe it’s a tradeoff. I assume @nikitabier has a clean explanation for how this evolves. Right now it looks simple. Use X. Hold money. Hope nothing changes. Not exactly the kind of system people describe as “the future.” But then again, maybe this is just version one. 𝘠𝘰𝘶𝘳𝘴 𝘴𝘪𝘯𝘤𝘦𝘳𝘦𝘭𝘺, 𝘈 𝘧𝘶𝘵𝘶𝘳𝘦 𝘷𝘦𝘳𝘴𝘪𝘰𝘯 𝘰𝘧 𝘺𝘰𝘶.

English
21
13
32
98
MB Web3
MB Web3@IsahMaruda49268·
From Guessing to Understanding: How @DecibelTrade and @Copin_io Changed the Way I Trade The Illusion of Progress For a long time, I believed I was improving as a trader. I learned new strategies. I followed market news. I worked on discipline. But my results told a different story. Wins were inconsistent. Losses felt inevitable. And no matter how focused” I tried to be, my account slowly declined That’s when I realized something most traders eventually face: The problem wasn’t effort It was understanding Discipline didn’t make me profitable it only helped me lose more slowly. Watching Without Learning My return to futures trading started with Decibel Trade. Like many others, I found myself scrolling through its leaderboard, watching top traders perform. It was impressive. You could see profits across different timeframes. You could identify consistent winners. But something was missing. I could see what they achieved… but not how they achieved it. There was no visibility into: Their risk management Their behavior during losses Their consistency under pressure It felt like watching the scoreboard of a game without ever seeing how it was played. And without that understanding, I remained stuck observing, admiring, but not improving The Limitation of Traditional Copy Trading Like many struggling traders, I turned to copy trading. On the surface, it made sense: Find a profitable trader → follow their trades → earn similar results. But this approach has a critical flaw You’re not copying a system You’re copying a person And people are unpredictable A trader can Perform well for a short period and then decline Lose discipline during volatility Or present results that lack full transparency Without deeper insight, copy trading becomes an act of blind trust. And in trading, blind trust is expensive Discovering a Missing Layer Copin Everything began to shift when I discovered Copin. What stood out wasn’t hype or promises it was clarity. Copin didn’t just show rankings. It revealed behavior. Instead of relying on surface-level metrics like ROI, it provided: Full trade histories Risk exposure and drawdowns Behavioral patterns across different market conditions More importantly the data was on-chain. That meant it couldn’t be edited, hidden, or fabricated. For the first time, I wasn’t just seeing results I was seeing the truth behind them Where Decibel Meets Copin Individually, both platforms are powerful But together, they create something far more valuable. Decibel provides the environment: Real traders Real capital Real performance under live market conditions Copin provides the lens Deep analytics Transparent data Behavioral insights One shows you who is performing. The other shows you why they are performing. This combination transforms trading from observation into education. From Blind Copying to Inf Decisions The biggest shift for me wasn’t financial it was mental. Instead of blindly following traders, I began to: Compare multiple trader profiles Filter based on risk tolerance and consistency Analyze how traders behave during drawdowns Use backtesting to simulate outcomes before committing capital This changed a simple question: From Who should I copy? To: “Does this trader’s behavior align with my strategy and risk?” That shift alone reduced mistakes more than any indicator ever could. The Real Value: Knowing When to Stop One of the hardest skills in trading is knowing when to exit—not just a trade, but a strategy or a trader you’re following. Copin doesn’t guarantee profits. No platform can. But it gives you something more important: The ability to detect instability early. When a trader deviates from their usual behavior… When risk suddenly increases… When consistency begins to fade… You can see it. And you can act.
MB Web3 tweet media
English
21
4
24
85
Mr.L
Mr.L@Mr_L_5·
DGrid AI, PermawebDAO & OG Labs are converging on one narrative: Decentralized AI ≠ models alone → it’s infra, data, and execution layers syncing. Here’s the grounded breakdown 👇 1) DGrid AI → The Execution + Routing Layer DGrid is building a decentralized AI inference network that sits between models and users. Core architecture: → Decentralized routing + verification network → Open LLM & agent marketplace → DAO-driven governance Key mechanics: • Single API → access to 200+ AI models • Proof of Quality (PoQ) → verifiable AI outputs (on-chain auditability) • Distributed nodes → no single point of failure Token ($DGAI) stats: • Fixed supply: 1B tokens • Allocation: – 50% nodes – 15% community – 10% team – 10% investors – 15% liquidity + airdrops Positioning: → “AI gateway layer” for Web3 → Monetization + routing of AI demand 2) OG Labs (0G) → The Compute + Data Throughput Layer OG Labs is building what it calls a decentralized AI operating system (deAIOS). This is not just infra — it’s a full-stack AI chain (L1/L2 hybrid). Hard metrics (testnet + ecosystem): • 50 GB/s data throughput • 50,000× faster data availability vs legacy • 100× cheaper storage • 650M+ transactions (testnet) • 8,000+ validators • 300+ projects, 450+ integrations • Funding: $35M raised + $325M ecosystem capital Positioning: → Base layer for AI-native apps → Competes with “Ethereum for AI compute + data” 3) PermawebDAO → The Data Permanence Layer (Arweave Thesis) While less aggressively marketed, PermawebDAO sits in a critical niche: → Permanent, immutable data layer for AI + Web3 Core idea: • AI needs verifiable, persistent datasets • Traditional storage = mutable, censorable • Permaweb (Arweave ecosystem) = permanent data availability DAO role: • Incentivizes storage + curation • Aligns long-term data integrity with token economics Why it matters in this stack: → AI outputs (DGrid) → AI execution (OG Labs) → AI memory (PermawebDAO) Without permanent data, “verifiable AI” collapses. How they connect (this is the alpha): • OG Labs → handles massive compute + data throughput • DGrid AI → routes + verifies AI inference • PermawebDAO → stores data permanently + immutably Together: → Compute → Execution → Storage = Full decentralized AI stack Reality check (no fluff): • DGrid → early-stage, limited traction metrics publicly • OG Labs → strongest measurable ecosystem growth so far • PermawebDAO → thesis-heavy, infra-level adoption curve TLDR; DGrid AI = AI routing + verification layer OG Labs = high-throughput AI compute chain PermawebDAO = permanent data layer Stack = decentralized AI infra trilogy (compute + execution + storage)
Mr.L@Mr_L_5

DGrid AI × PermawebDAO × OG Labs The stack shaping verifiable AI on-chain isn’t a single protocol — it’s a layered system. Here’s the factual breakdown 👇 1/ Compute & Execution → OG Labs OG Labs is building a modular AI Layer 1, designed to scale: • Infinite data availability architecture • On-chain verifiability of compute + alignment • Modular infra → separates execution, storage, and validation Core thesis: AI shouldn’t just run — it should be provable. This positions OG Labs as the execution + validation layer for decentralized AI. 2/ Inference Layer → DGrid AI DGrid AI operates as a decentralized AI inference network: • Aggregates multiple AI models into one access layer • Enables permissionless usage of LLMs + agents • Focus: scalable, composable AI access via Web3 rails Instead of isolated models, DGrid creates a unified inference marketplace. Key role: Turning AI into a networked service, not a siloed product. 3/ Memory & Permanence → PermawebDAO PermawebDAO anchors the stack with permanent data storage + governance: • Stores datasets, research outputs, governance records • Ensures immutability + auditability • Built on the “permaweb” principle → data lives indefinitely Functionally: It solves AI’s biggest issue → data integrity over time. This becomes the memory layer of decentralized intelligence. 4/ Why This Stack Matters Individually, each solves a fragment. Together, they form a complete AI pipeline on-chain: • OG Labs → compute + verification • DGrid AI → inference + access • PermawebDAO → storage + memory This is the shift from: “AI tools” → AI infrastructure stack 5/ Current Observable Momentum Across Web3 discussions and early ecosystem positioning: • The trio is increasingly referenced as a composable AI stack • Narrative focus: verifiable intelligence > raw intelligence • Strong alignment with emerging sector: AI × blockchain infra No inflated metrics yet publicly standardized — but narrative consolidation is already happening. 6/ The Real Innovation Layer The breakthrough here isn’t better models. It’s: • Verifiable outputs • Permanent data provenance • Modular AI infrastructure Meaning: Trust moves from “who built the AI” → what can be proven on-chain TL;DR OG Labs (compute) + DGrid AI (inference) + PermawebDAO (memory) = a full-stack, verifiable AI architecture Not hype. A structural shift toward provable, composable intelligence on-chain.

English
11
41
49
144
Mr.L
Mr.L@Mr_L_5·
DGrid AI × PermawebDAO × OG Labs Each solves a different bottleneck. 1/ The Memory Layer → PermawebDAO PermawebDAO focuses on permanent, verifiable knowledge storage. Built on the idea of the permaweb (data that lives forever) Ensures AI + communities don’t lose context over time Turns knowledge into a compounding asset, not disposable data ➡️ Without persistent memory, AI systems reset instead of evolve 2/ The Infrastructure Layer → OG Labs OG Labs (often tied to the 0G ecosystem) provides modular infrastructure for AI systems: Data availability + storage for AI models Execution environment for decentralized AI apps Coordination layer for builders ➡️ Think: the operating system for decentralized AI 3/ The Execution Layer → DGrid AI DGrid AI handles decentralized compute for AI workloads: Distributes AI tasks across a network of contributors Reduces reliance on centralized GPU providers Enables scalable, permissionless AI execution ➡️ This is where AI actually runs 4/ Why this matters Individually, each solves a piece. Together, they form a full decentralized AI stack: PermawebDAO → Memory (what AI knows) OG Labs → Infrastructure (where AI lives) DGrid AI → Compute (how AI runs) This alignment shows a shift from fragmented tooling → cohesive AI ecosystems 5/ The bigger picture Centralized AI today = Closed data + closed compute + closed control This stack flips that: Open memory Open infrastructure Open execution ➡️ Result: Composable, permissionless intelligence TL;DR PermawebDAO stores knowledge permanently, OG Labs provides the infrastructure to build on it, DGrid AI executes AI workloads — Together, they represent the core layers of decentralized AI.
Mr.L tweet media
English
14
34
47
2.9K
Web3Terminator
Web3Terminator@Web3_terminator·
CAN ANYONE EXPLAIN WHY SOME PEOPLE DRAW A CIRCLE ⭕ AROUND THEMSELVES WHEN THEY SLEEP IN THE DESERT?
Web3Terminator tweet mediaWeb3Terminator tweet media
English
35
3
37
764
Adewale
Adewale@aadewaleee·
Introducing GoDark — the first decentralized dark pool DEX on Solana. @GoDark brings CEX speed + true DEX privacy Trade with absolute privacy. Your keys. Your trades. Your edge. Stealth mode activated. Join the waitlist now ➫ godarkdex.com #GoDarkVideo
GoDark@GoDark

GoDark is giving away $15,000. Motion designers and video editors, this is for you. We’re looking for the best promotional video for GoDark. If you've got the skill, now's your time. Top 3 submissions will be selected in 2 weeks: 1st place - $10,000 2nd–6th place - $1,000 each Top creators will be hired to work with us ongoing. Study us at godarkdex.com and show us what you see. To submit: Quote tweet this post with your video and tag @GoDark + #GoDarkVideo Deadline: April 10th, 2026

English
29
5
36
408
Williams
Williams@sam_wills01·
Permanence without performance is incomplete. @Permaweb_DAO anchors data permanently, ensuring it’s always accessible and unchanged. @dgrid_ai brings the compute layer that makes that data fast, scalable, and usable. One creates stability. One enables execution.
Williams tweet media
English
15
5
20
9.9K
Sussan Apeh ☄️❤️‍🔥|| Video Creator || Youtuber
I hate getting pissed especially on a Monday morning and @JumiaNigeria just legally did that. Tell me why you'll sell a Blender that you know it's faulty to your customers and make your return policy 7 days when the Blender has 1 year warranty?? And when you report to their customer representative via Live chat within their app, you will be directed to their repair service department. Who's paying for the repairs? It's a clear arrangement for defrauding customers. @JumiaNigeria your service is terrible and equipments are faulty
English
18
1
19
89
AlphaSavant🐦‍🔥
AlphaSavant🐦‍🔥@Auwalsulai69118·
Another day done. Feed goes quiet. Rank still holding. Didn’t post much. Didn’t chase replies. Just showed up when it counted. @wallchain isn’t about who shouts the longest. It’s about who still stands when the noise fades. Stacked a few Quacks. Left a few signals. Called it a day. That’s a win. Rest up. Tomorrow we build again
AlphaSavant🐦‍🔥 tweet media
Kano, Nigeria 🇳🇬 English
22
0
24
156