AFRICA • BEST REGION FOR EXPANSION OF WEB3 CARDS
Africa is one of the hottest markets for Web3 cards
Drivers: inflation, weak local currencies, high transfer fees and huge demand for stablecoins
Nigeria:
• @KoloHub (0% FX)
• @oobit (maximum cashback)
• @jup_mobile (sometimes on pause, but KYC with local documents usually takes place.)
• @coca_card (up to 8% cashback)
• @KASTxyz
• @ether_fi (A virtual card + KYC usually passes)
• @BitgetWallet
• @SolidYield (good fit for DeFi users and privacy-focused holders)
• @TheAvaxCard (card is currently available in USA, 173 countries globally)
South Africa;
• @oobit (maximum cashback)
• @useTria (good fit for DeFi users and privacy-focused holders)
• @Plasma (stablecoin Focus / 2% cashback)
• @spritzfinance (pays up to 5% cashback on eligible purchases)
• @BitgetWallet (card is only available for a limited time, but bank links and KYC work)
• @okx (VIP awards)
• @coca_card (up to 8% cashback)
Kenya:
• @coca_card (up to 8% cashback): currently available in Global; 150+ million Visa merchants
• @KoloHub (BTC Cashback)
• @spritzfinance (pays up to 5% cashback on eligible purchases)
• @KASTxyz (suitable for many regions)
• @SolidYield (good fit for DeFi users and privacy-focused holders)
• @minipay (local rails)
• @xapobankapp (currently available in 100+ countries)
Ghana / Uganda / Rwanda
• @okx (no fees)
• @coca_card (0% FX)
• @ZyptoApp (runs a rewards programme the exact rate depends on tier)
• @fusewallet (USA + 17 LatAm/African countries per issuer country list)
Egypt
• @spritzfinance (pays up to 5% cashback on eligible purchases)
• @ZyptoApp (runs a rewards programme the exact rate depends on tier)
• @useTria (Frequent spenders who want to earn 1.5% cashback)
• @TheAvaxCard (card is currently available in USA, 173 countries globally)
• @KoloHub (2% Cashback)
Thanks for the information @sweepbaseHQ, he has excellent service.
Do Web3 cards without KYC have the right to exist?
opinions are split into two camps:
for:
• You don’t hand your personal data to some service
• Relevant for people under capital controls, sanctions, or with shitty banking
• Fast issuance, almost no bureaucracy, can spend crypto
against:
• Most payment systems and banks refuse to work with them
• Cards often die fast: provider blocked → card dead → funds stuck
• Higher chance of getting scammed
not sponsored or anything, just food for thought
pros of no-KYC cards
• Maximum privacy
• Access for people under capital controls or sanctions
• Fast issuance
• Harder to freeze or track
cons
• Gray/black zone in most countries
• Low limits, high fees, frequent blocks, weak Apple/Google Pay
• If it gets hacked - almost zero chance to recover anything
• Worse rates
don’t forget - crypto was originally about decentralization, and a lot of people still want to stick to that
best no-KYC
@offgridcash, @solcard, @kardpay, @pintopay_me, @LasoFinance
best KYC
@ether_fi, @Plasma, @JupiterExchange, @wirexapp, @Krak
choice is yours
just DYOR and know the risks
shoutout to @JoinTODEY for the info as always
which side are you on?
Mastercard and Visa keep doubling down on stablecoins
Two major announcements over the last few days:
- Mastercard completed its acquisition of BVNK, a stablecoin payments infrastructure provider
- Visa partnered with Zero Hash to integrate stablecoin funding and payouts into Visa Direct
- Businesses will be able to use stablecoins to fund accounts and send cross-border payouts through Visa Direct
- Visa Direct connects more than 18 billion cards, bank accounts, and digital wallets across 195 countries
- Both payment giants are integrating stablecoins into existing financial infrastructure rather than building separate crypto ecosystems
The race is no longer about adoption. It's about infrastructure
A bullish long-term signal for crypto cards and onchain neobanks
Btw, there are now more than 300 crypto cards on the market, and the overwhelming majority of them are Visa. In the case of Mastercard, I had to search for cards to add to the image. In the case of Visa, I had to choose
Do you think this will change? Will there be more crypto cards with Mastercard support?
See, the problem with no-KYC crypto cards is that "no KYC" doesn't mean nobody gets your data.
You may not submit an ID directly to the platform, but the issuer, payment processor, card network, and merchants can still receive transaction data. Your onchain activity also leaves a public trail.
On top of that, you often have:
→ Low spending limits
→ Higher conversion, top-up and ATM fees
→ Less protection if the card stops working
→ Limited countries, merchants and supported assets
And the list goes on.
IMO they're worth experimenting with, but I'd apply the same memecoin gambling rule. Only put in what you're comfortable losing, not your salary.
List of crypto project shutdowns in 2026
a) CEX
• BitMEX
• BitMart
• AscendEx
b) DeFi
• Zapper
• Odos Protocol
• Radiant Protocol
• Satori Finance
• https://t.co/wmIiLbi3ga
• Goldfinch
• Step Finance
• Dango Exchange
• Rage Trade
• MilkyWay
• Angle Protocol
• Ranger Finance
c) Infra
• Lamina1
• Loopring
• Botanix
• Polygon zkEVM
• Leap Wallet
• Tally
• Parsec
• Lattice / Redstone
While at the same time some interesting innovations on-chain/ activity picking up on-chain
• Robinhood: their on-chain trenches (somewhat) revitalised (started with Cashcat) although yet to see a token >$100m currently - some tokens are also paired with tokenised stonks (e.g. $AI paired with tokenised $NVDA stock via @longdotxyz) which is quite novel and new. There is also a revenue generating launchpad on Robinhood in $PONS which is doing quite well
• Base: decentralised and open source AI still continues to shine - open models strengthen safety and privacy (some tokens that come to mind $POD, $VVV, $REI which Base seem to have some strength in). Special mention to decentralised compute as well ($SURPLUS and $CHIP)
• Ethereum: gamified commerce via gacha/blindboxes on NFT/collectibles on multiple chains (apart from TCG there is now gacha for Wine and even Hot Wheels kek). Most recently $FWA (Fake World Assets) on Ethereum (deposit NFTs + ETH to earn fees/rewards, or pay ETH to randomly pull one and choose the NFT, its ETH, or $FWA tokens)
• Solana: Still the chain where most on-chain volume is at --> $ANSEM (different type of meme via supply control by @blknoiz06 and a slow-drip airdrop model to people providing value to the meme), $KINS (too bad it died lmao but it did well initially, some on-chain Runescape + unlike other P2E where it relied on just token emissions, this had a proper in-game economy - too bad gaming is DEAD in crypto), @MetaDAOProject projs like $CRED (on-chain Stripe) + Rip Cars (Hot Wheels gacha) and Jurassic (Tokenized Dinosaurs) are unique (unsure the sustainability of these projects, more so looking from uniqueness standpoint), @Collector_Crypt with $CARDS (still very bullish alternate investments like collectibles as young people continue to be priced out of other assets like houses and the rise of Kidulting)
• Other chains: random burst of volume on memes like $FEFER on Stable chain and $UTYA on Gram (TON) chain
Feels eerily similar to 2024 timeline
• Market was quite boring
• New innovation on Ethereum in ERC404 (semi fungible NFTs like PANDORA lmao) Feb 2024
• Memes like POPCAT, WIF, BONK really took off from Feb 2024 till EOY
• $GOAT launched in Oct 2024 which sparked off the huge AI agent run-up
Wonder where do we go from here onwards, still have Clarity Act uncertainty + US Midterms + Iran war + potential rate hikes to navigate reee
Salah satu project yang lagi gw kembangin: IDX Flow
🔗 https://t.co/7U3eVDaRlq
Awalnya iseng reverse-engineer transaksi saham IDX. "Coba liat siapa yang beli siapa yang jual." Makin dalem, makin banyak rabbit hole.
Masalahnya: kebanyakan orang analisa transaksi itu cuma sebatas di "Broker X net buy sekian lot, kita beli. Broker Y net sell sekian lot, kita jual." Maka dari itu, gw decide untuk ngebuat beberapa layer untuk analisa:
📊 Flow-Price Correlation
Bukan asal "wah flownya naik, pasti bullish". Pakai ridge regression + walk-forward cross-validation buat ukur seberapa kuat flow beneran gerakin harga. Kalau korelasinya lemah ya ga bisa dipaksa jadi sinyal
🔄 Wyckoff Phase Detection
Lagi di fase akumulasi, markup, distribusi, atau markdown? Bukan nebak pakai feeling, tapi pake two-layer classifier yang combine broker score sama price action.
🕵️ Smart Money Tracker
Ada pergerakan yang kaga kelihatan dari angka mentah. Pola akumulasi/distribusi yang tipis, yang baru keliatan kalau dirangkai menjadi beberapa sinyal sekaligus.
🎛️ Regime-Adaptive Analysis
Ini yang paling penting: blue-chip dan gorengan nggak bisa dianalisis pakai ruler yang sama. Sistemnya auto-detect tipe saham (blue-chip, mid-cap, high-vol) dan adjust semua threshold sesuai karakter masing-masing.
📈 Gaussian HMM Regime Detection
Deteksi kapan korelasi flow-harga lagi di regime kuat vs lemah supaya bisa tau kapan sinyal flow bisa dipercaya, dan kapan cuma noise.
🏦 Broker Distribution
Siapa yang lagi dominan? Aliran dana dari broker ke broker divisualisasi supaya keliatan polanya.
Kagak ada satu sinyal ajaib. Tapi, banyak layer analisis yang harus dirangkai untuk menjadi sesuatu yang (mudah-mudahan) lebih solid dari sekadar liat net buy/sell.
App nya sendiri masih RAW dalam tahap alpha. Masih dikembangin tiap hari. Gw rilis sekarang untuk dapetin feedback dari kalian-kalian yang terjun ke pasar juga.
Akses nya masih ratis buat sekarang. Kemungkinan jadi subscription-based karena jujur aja waktu dan effort yang dikeluarin nggak sedikit 😭✌️
Monggo dicoba kalau penasaran. Untuk segala feedback atau apapun itu bisa DM ke aku lewat X atau tele (https://t.co/c6EGvg9HoH). Feedback form otw disematkan di website.
Ini tempat belajar crypto gratis terbaik, menurut gw.
No, ini bukan notes gw.
No, ini bukan sembarangan.
Ini dibuat oleh orang-orang dari tim Wintermute.
Isinya adalah konsep-konsep Crypto yang terdengar dasar, tapi rata-rata orang ga ngerti.
Helloo, sesuai request teman-teman semua. Berikut cara gua screening koin sebelum akhirnya gua putusin buat nge DLMM
CONTOH : Aslan - SOL
Pertama, gua make GMGN untuk screening dan filter yang gua pakai simple cuma total fees minimal 30 SOL dan holders minimal 1K
Kemudian setelah itu gua bakal ngecheck marketcap nya, volume nya, dan global fees yang dihasilkan. Setelah itu gua bisa ngecheck beberapa tools dari GMGN, seperti seberapa banyak token yang dihold oleh bundlr, DEV, dan juga top 10% nya. Untuk tulisan Rug 100% pada GMGN itu hanya berdasarkan history rug yang dilakukan developer sehingga TIDAK SELALU berpengaruh besar ya.
Setelah gua ngecheck hal di atas aman, gua kembali ngecheck di bagian holders pada bagian DEV dan Bundlr dan juga All, gua selalu ngecheck berapa banyak token yang dihold oleh para bundlr ataupun holder token tersebut, jika ada orang yang hold 5% nah ini udah redflag buat gua karena angkanya sangat besar. Selain itu, perlu juga ngecheck bagian funding atau sumber dana dari para top holder, terkadang banyak dana yang disebar ke beberapa wallet supaya tidak terlihat memegang dalam jumlah besar dan hal tersebut sangat redflag.
Nah kemudian kalian bisa pakai tools lain dari
1. https://t.co/7RfwiFpEWU
2. https://t.co/AeV4KwBLOE
Make dua aplikasi ini bisa ngecheck seberapa besar pengaruh bundlr dan beberapa hal lain. Untuk mau nonton detail cara screening bisa langsung saja ke @eisbedog!
Gudfeetek All!
an Arbitrage Bot for Polymarket Just Got Leaked
There’s a full GitHub repo showing how to set up your own arbitrage bot and it’s absolutely free.
GitHub link: https://t.co/FM5xhuaPbj
Fresh wallets are already making over $50k in a single day on 15m BTC markets on Polymarket.
There’s a user with 502 predictions and a 98% win rate, trading only crypto markets.
His total profit: $54,840.
Crazy stats for someone who just joined prediction markets.
His biggest win so far:
> "Bitcoin Up or Down February 2, 1:15AM-1:30AM ET"
+$7,914 (+170%) from spotting Binance delay.
Crazy how it’s easy to PRINT money with automation.
There are two options.
You either use bots, or you copytrade smart wallets using tools like:
https://t.co/oglth5RxEH
I know some of you might be wondering how to launch this bot.
Should I post the simplest tutorial?
Let me know in replies.
I built a database of 120 failed Web3 startups.
> 120 dead projects
> $85 billions gone
> Study the dead Projects
Projects like:
> FTX
> Luna
> Celsius
Each one has:
• What went wrong
• Why it failed
• Ideas for builders
All in one place.
Let's go 🧵↓
I ranked BEST markets to make money on Polymarket.
Considered R/R, upside and complexity during my research.
Let's start with the best ones:
1) Weather markets
Advantages:
> Low competition
> No complicated rules
> Daily markets = daily profits
Market example: [https://t.co/iX1hhRC20Z]
2) #1 free App in the US Apple Store
Advantages:
> Repeats every 7 days
> Perfect for small profits compounding
> Low risk (ChatGPT is the winner almost every time)
Market link: [https://t.co/d5URe6g8cD]
3) Largest company be the end of the month
Advantages:
> Repeats every 30 days
> Bigger upside than the previous one
> Pretty predictable and low risk (NVIDIA keeps winning)
Market link: [https://t.co/vESXQQAqKQ]
4) MrBeast subscriber growth
Advantages:
> Repeats every 30 days
> Good risk / reward ratio for early traders
> Easy to predict by calculation (already made a full breakdown before)
Market link: [https://t.co/BawkELIlik]
5) Top US Netflix movie this week
Advantages:
> Chill one for movie lovers
> Repeats every 7 days
> Pretty predictable thanks to public stats
Market link: [https://t.co/QlqPGNLzLA]
6) 15-min charts
Advantages:
> Enough liquidity for sizing
> 96 markets per day (15m x 4 x 24h)
> Simple terms and easy money for TA traders
Market example: [https://t.co/EAbY3njUdJ]
I already broke down most of them in detail before.
But if you have any questions, just ask.
Good luck fam!
We’ve expanded our Airdrop Analytics to cover the top 10,000 accounts!
📊The data shows a fascinating shift in holder behavior: Total Airdrop Overview:
💰 Total Distributed: ~198.86M $LIT
📉 Total Dumped: 48.52M $LIT (24.4% of the total drop has been sold or moved).
🕯️Current Holder Breakdown: 60.66% Dumped All: Zero balance remaining.
🗓️10.15% Paper Hands: Sold >50% of their allocation.
💎22.67% Diamond Hands: Holding >50% of their initial drop.
💪🏻6.52% Chads: Actively accumulating and increasing positions.
🚀Key Insights:
🔹 Retention: The 100k - 1M tier leads with a massive 80.26% retention rate. Even the "smaller" 1k - 10k tier is showing strong conviction, holding steady with a ~50% retention rate..
🔹 Staking Power: A huge amount of $LIT is being locked up to secure the ecosystem:
🥇Tier 1 (>1M): 2.19M $LIT staked
🥈Tier 2 (100k-1M): 11.71M $LIT staked
🥉Tier 3 (10k-100k): 10.77M $LIT staked
🕯️ gLighter