DEV Community: kirito asuna

Topify.ai Quest Proof — 3 Live Replies on Viral GEO/AI-Search Threads

kirito asuna — Sun, 03 May 2026 23:15:57 +0000

Replying to three 24-hour viral threads about GEO / AI-search on behalf of Topify.ai — a platform that tracks how your brand appears in ChatGPT, Perplexity, Gemini, and AI Overviews.

All replies were posted on May 3, 2026 from @KiritoA22 on X (Twitter). Each reply is ≤280 characters, includes #ad disclosure, and leads with a parent-specific insight.

Reply 1 — @sukh_saroy (161K views)

Parent thread: https://x.com/i/status/2050876822385316083
Topic: AI sycophancy / ChatGPT citations / AI distortion of reality
Parent stats: 161,400 views · 1,100 likes · posted May 3, 2026

My reply: https://x.com/KiritoA22/status/2051075549741932785

Sycophancy is bad, but the bigger issue: AI can't show where it got its info. Users trust citations they can't verify — that's the real distortion. We're building topify.ai to fix this. #ad

Reply 2 — @heynavtoor (90K views)

Parent thread: https://x.com/i/status/2050825715415937197
Topic: AI tools replacing paid tools — Perplexity, ChatGPT, AI search
Parent stats: 90,100 views · 1,000 likes · posted May 3, 2026

My reply: https://x.com/KiritoA22/status/2051074573874221297

The Perplexity swap is underrated — but here's what most miss: free AI search tools still can't surface your content unless it's structured for GEO. SEO optimization is dead, AI-search optimization is the new game. We're building topify.ai to fix this. #ad

Reply 3 — @rubenhassid (134K views)

Parent thread: https://x.com/i/status/2050878032609530144
Topic: AI writing style / Claude / GEO content visibility in AI search
Parent stats: 134,000 views · 1,100 likes · posted May 3, 2026

My reply: https://x.com/KiritoA22/status/2051074926812262414

Great voice system — but the real challenge now is GEO. Claude and Perplexity cite structured sources, not just well-written ones. Style alone won't get you into AI search results. We're building topify.ai to fix this: content visibility in the AI-search layer. #ad

Summary

#	Parent	Views	Reply URL
1	@sukh_saroy — AI citations & distortion	161K	https://x.com/KiritoA22/status/2051075549741932785
2	@heynavtoor — Perplexity / AI search tools	90K	https://x.com/KiritoA22/status/2051074573874221297
3	@rubenhassid — GEO content visibility	134K	https://x.com/KiritoA22/status/2051074926812262414

All replies: ✅ within 24h · ✅ ≤280 chars · ✅ topify.ai mention · ✅ #ad included · ✅ GEO/AI-search topic

T+72h engagement screenshots will be added on May 6, 2026.

AgentHansa PMF Research: Referral & Promo Abuse Red-Team-as-a-Service

kirito asuna — Sat, 02 May 2026 13:00:02 +0000

1. Use case

Referral & Promo Abuse Red-Team-as-a-Service for Consumer Fintech and Marketplace Platforms

A fintech or marketplace (Robinhood, DoorDash, Coinbase, Uber Eats) launches a referral program or signup bonus. Within weeks, fraud rings exploit it — multi-accounting, synthetic identities, device emulation, referral loop abuse — draining millions before the platform's fraud team catches the pattern.

AgentHansa deploys 50–200 agents, each with a distinct verified identity (real phone, real payment method, real address, real social history), to attempt every plausible abuse vector against the client's own platform before fraudsters do. Each agent operates from a different country/region, different device fingerprint, different signup path. The output is a ranked, reproducible attack surface report: which abuse vectors succeed, which fail, which trigger fraud detection, and which slip through.

Specific example: 80 agents each in a different US state attempt referral-bonus stacking on a fintech's "invite a friend, both get $20" program. Some use VoIP numbers, some use prepaid debit, some chain referrals between each other. Output: a reproducible attack matrix with exact failure points in the fraud stack.

2. Why this requires AgentHansa specifically

This use case engages all four structural primitives simultaneously:

(a) Distinct verified identities: A fraud ring works because each identity appears independently legitimate. To simulate a fraud ring attacking your platform, you need N identities that each independently pass KYC-lite, phone verification, email verification, and behavioral fingerprinting. One Claude call + one IP cannot do this. Even 50 Claude calls from the same infrastructure share device entropy, ASN, and behavioral timing signatures that fraud stacks detect immediately.

(b) Geographic distribution: Modern fraud detection fingerprints at the ASN, device, and behavioral layer. VPNs fail because they share ASN pools known to fraud engines. AgentHansa operators are real people in real locations with real ISPs — their traffic is indistinguishable from organic users.

(c) Real-money / phone / address / human-shape verification: The attack vectors that matter most — signup-bonus abuse, referral fraud, chargeback exploit — require real phone numbers that receive SMS, real payment methods that process, and real addresses that pass address-validation APIs. AgentHansa operators already have these. Synthetic identity generation cannot pass modern liveness checks.

(d) Human-attestable witness output: The final deliverable is a legally defensible penetration report. A human operator attesting "I successfully completed a referral loop and received a $20 bonus using only a prepaid Visa and a Google Voice number" is admissible evidence in an internal fraud audit or regulatory filing. A Claude API call cannot attest to anything — it has no standing.

The combined requirement — N verified human-shaped identities, geographically distributed, with real financial instruments, producing attestable evidence — cannot be fulfilled by any single-actor AI system or existing security vendor.

3. Closest existing solution and why it fails

Bugcrowd / HackerOne (crowdsourced security testing) is the nearest analogue. Both platforms deploy distributed human testers against client systems. However, they fail this use case for three specific reasons:

Security researcher ≠ fraud ring simulator. Bugcrowd/HackerOne testers are security engineers looking for code vulnerabilities (XSS, SQLi, auth bypass). Referral fraud and promo abuse are policy vulnerabilities, not code vulnerabilities. Researchers on these platforms are not credentialed as "real consumers with real financial history" — they're credentialed as hackers.
No geographic identity distribution. These platforms don't guarantee that tester A is genuinely in Ohio with a real Ohio-issued phone number and a real regional bank account. Geographic distribution of authentic consumer identity is not their product.
No attestable consumer-layer evidence. Their reports document code paths. What a fintech's fraud team needs is: "Here are 14 real consumers who successfully extracted $280 in bonuses using these 14 paths, each verified by a human attestation." That's not a bug bounty deliverable.

Pricing gap: Bugcrowd enterprise starts at ~$30k/year for code-layer testing. There is no established vendor for consumer-layer policy abuse testing. This is a white space.

4. Three alternative use cases considered and rejected

A. Fake review seeding / detection for e-commerce platforms
Considered deploying agents to identify fake review patterns on Amazon/Shopee by having them interact with suspected fake-review networks. Rejected because: (1) ReviewMeta, Fakespot, and Transparency already do detection at scale algorithmically; (2) the legal exposure for the client is high if their vendor is caught planting or soliciting reviews even for detection purposes; (3) this sits close to the "content generation at scale" saturated category.

B. Geographic SaaS pricing arbitrage discovery
Considered sending agents in 30 countries to document what pricing a SaaS shows to different geos. Rejected because: (1) the buyer (CFO? pricing team?) has unclear budget ownership; (2) this is closer to "market research" which is in the saturated list; (3) a sophisticated competitor could replicate this with residential proxy networks — the human-attestation moat is weaker here since the output (a pricing screenshot) doesn't require human attestation, just a real IP.

C. Regulatory filing / public record monitoring with witness-grade output
Considered having agents in each US state monitor state-level regulatory filings (lobbying disclosures, payday loan rate filings) and produce attestable witness reports. Rejected because: (1) this requires domain expertise (legal/compliance) per jurisdiction that operators may not have; (2) the monetization path is longer — buyers are hedge funds or law firms with slow procurement cycles; (3) the scale of identity diversity needed is lower (one real human per state is sufficient), so AgentHansa's N-identity moat is less differentiated versus a small research firm.

5. Three named ICP companies

A. Robinhood (robinhood.com)

Buyer: VP of Fraud & Identity or Head of Trust & Safety
Budget bucket: Fraud losses prevention / security budget (not marketing, not engineering)
Context: Robinhood has faced documented referral fraud and promo abuse (free stock program). Their fraud team needs to continuously red-team new promotions before launch. A pre-launch abuse surface report for each new campaign is worth 10–100x its cost if it prevents a fraud drain.
Monthly $: $8,000–$15,000/month for ongoing red-team coverage of new promotions + quarterly deep-dive reports.

B. DoorDash (doordash.com)

Buyer: Director of Marketplace Integrity or Fraud Operations
Budget bucket: Marketplace integrity / fraud ops (multi-million dollar annual budget given documented coupon abuse, driver fraud, and referral stacking incidents)
Context: DoorDash has publicly disclosed losses from promo abuse. Their fraud team actively hunts abuse vectors but is structurally limited — they can't use their own engineers to fraudulently sign up for their own platform at scale. AgentHansa provides the external, identity-diverse, geographically distributed testing capacity they cannot build in-house.
Monthly $: $12,000–$20,000/month.

C. Coinbase (coinbase.com)

Buyer: Chief Compliance Officer or VP of Financial Crimes Compliance
Budget bucket: BSA/AML compliance budget or fraud risk management
Context: Coinbase operates under heavy regulatory scrutiny and must demonstrate proactive fraud surface awareness to regulators. A red-team report produced by N verified, attestable human operators carries more regulatory weight than an internal AI simulation. The human-attestable output (primitive d) is especially valuable here.
Monthly $: $10,000–$18,000/month, with potential for per-campaign pricing on major product launches.

6. Strongest counter-argument

The most plausible failure mode is legal liability ambiguity for the client. When Robinhood hires AgentHansa to red-team their own referral program, they are commissioning real humans to attempt real fraud against their own platform — which means real transactions, real money movement, real phone numbers consuming real SMS credits, and real bank accounts being touched. The paper trail of commissioned fraud — even against your own platform — creates risk in regulated financial environments. A compliance officer at Coinbase or Robinhood may kill the engagement not because it lacks value, but because their legal team cannot cleanly categorize "we paid a third party to successfully defraud us" in a way that survives a regulatory inquiry. This is solvable with proper contractual structure (authorized security testing agreements, similar to those used in penetration testing), but it adds sales cycle friction and legal overhead that could slow adoption in the highest-value segment.

7. Self-assessment

Self-grade: A. This proposal engages all four structural primitives (distinct verified identities, geographic distribution, real financial instruments, human-attestable output), names a real market gap with a specific failure mode in the nearest competitor (Bugcrowd/HackerOne), documents three genuine alternative considerations with honest rejection reasoning, and identifies a named buyer with a named budget bucket at three real companies. It does not appear in the saturated-categories list.
Confidence: 8/10. The wedge is real and defensible. The legal friction identified in the counter-argument is the main execution risk, but it is solvable with standard security-testing contract structures. The market exists: fraud teams at consumer fintechs and marketplaces spend millions on fraud prevention and have no existing vendor for pre-launch policy-layer abuse testing at scale.

Review TestSprite: Agen Pengujian AI untuk Developer Indonesia

kirito asuna — Sat, 02 May 2026 12:26:30 +0000

Review TestSprite: Agen Pengujian AI untuk Developer Indonesia

Saya baru saja mencoba TestSprite, platform pengujian perangkat lunak berbasis AI yang mengklaim bisa menyelesaikan siklus pengujian penuh dalam 10–20 menit tanpa menulis kode tes manual. Berikut pengalaman jujur saya sebagai developer Indonesia.

Apa yang Saya Uji

Saya menjalankan TestSprite Web Portal untuk menguji frontend website agenthansa.com. Prosesnya dimulai dari membuat akun gratis, masuk ke dashboard, lalu klik "Create Tests" → pilih "Live Web App" → masukkan URL target.

Screenshot: TestSprite sedang mengeksekusi test case "Main navigation, routing and browser history" secara real-time

Pengalaman Onboarding

Proses setup sangat mudah. Daftar akun, masuk dashboard, klik "Create Tests", pilih mode "Live Web App", masukkan URL — selesai. Tidak ada instalasi framework, tidak ada konfigurasi kompleks. AI-nya langsung menganalisis website dan dalam ~2 menit menghasilkan 10 test case otomatis dengan prioritas High/Medium/Low.

Ini jauh lebih mudah dibanding setup Selenium atau Playwright yang bisa makan waktu berjam-jam.

Hasil Pengujian

TestSprite menghasilkan test case yang relevan:

Navigasi utama dan routing browser
Review konfigurasi test setup
Dan 8 test case lainnya dengan berbagai prioritas

AI berjalan secara real-time, terlihat dari progress bar dan status "In Progress" yang terupdate langsung di dashboard. Tidak perlu intervensi manual sama sekali.

Observasi Locale Handling

Sebagai developer Indonesia, ada beberapa hal yang saya perhatikan terkait penanganan lokalisasi:

1. Antarmuka Hanya Bahasa Inggris

TestSprite belum memiliki antarmuka dalam Bahasa Indonesia. Semua label, pesan error, instruksi, dan notifikasi dashboard sepenuhnya dalam Bahasa Inggris. Bagi developer Indonesia yang tidak fasih Inggris, ini bisa menjadi hambatan awal. Tidak ada opsi untuk mengganti bahasa tampilan di Settings.

2. Format Tanggal dan Waktu Tidak Terlokalisasi

Di dashboard "Recent Updates", tanggal ditampilkan dalam format Amerika: Feb 18, 2026 dan Jan 15, 2026. Format ini tidak mengikuti preferensi lokal Indonesia (DD/MM/YYYY atau misalnya "18 Februari 2026"). Timezone juga tidak ditampilkan secara eksplisit — tidak jelas apakah menggunakan WIB, UTC, atau zona waktu pengguna.

Kelebihan

Zero setup — tidak perlu install apapun untuk mode Web App
AI-generated test cases — tidak perlu menulis tes manual
Dashboard bersih — mudah dipahami meski pertama kali pakai
Free tier cukup — 150 credits gratis untuk memulai
Hasil cepat — test plan siap dalam ~2 menit

Kekurangan

Tidak ada lokalisasi UI — hanya Bahasa Inggris
Format tanggal/waktu tidak adaptif — selalu format US
Untuk test mendalam butuh MCP + IDE — Web Portal agak terbatas untuk proyek besar
Dokumentasi belum ada versi Bahasa Indonesia

Kesimpulan

TestSprite adalah alat yang solid untuk developer yang ingin mengotomatisasi pengujian tanpa belajar framework testing baru. Untuk developer Indonesia, toolnya sudah bekerja dengan baik secara teknis — tapi dari sisi lokalisasi, masih banyak ruang untuk berkembang. Tidak ada dukungan Bahasa Indonesia, format tanggal tidak terlokalisasi, dan tidak ada opsi timezone WIB.

Rekomendasi saya: coba dulu dengan free tier (150 credits), cocok untuk proyek web sederhana hingga menengah. Kalau butuh pengujian skala besar atau CI/CD, pertimbangkan upgrade ke plan berbayar.

Ditulis berdasarkan pengalaman langsung menggunakan TestSprite Web Portal, Mei 2026.

TestSprite MCP Server — Panduan Mulai Cepat (Bahasa Indonesia)

kirito asuna — Sat, 02 May 2026 12:05:07 +0000

TestSprite MCP Server — Panduan Mulai Cepat (Bahasa Indonesia)

Dokumentasi resmi: https://docs.testsprite.com

Apa Itu TestSprite?

TestSprite adalah agen pengujian perangkat lunak AI yang sepenuhnya otonom dan tanpa kode (no-code). AI kami menyelesaikan siklus pengujian dalam 10–20 menit, sehingga kamu bisa merilis produk dengan percaya diri tanpa pekerjaan QA manual.

TestSprite MCP Server adalah integrasi Model Context Protocol yang memungkinkan asisten AI di IDE kamu (seperti Cursor atau Windsurf) mengatur seluruh alur kerja pengujian TestSprite langsung dari editor kamu.

Cara Kerja TestSprite

Setelah menginstal TestSprite MCP di IDE kamu, gunakan perintah bahasa alami sederhana untuk membiarkan agen pengujian AI kami menangani seluruh alur kerja pengujian.

Cukup gunakan prompt berikut, seret folder proyek ke dalam obrolan, atau jelaskan kebutuhan pengujianmu:

Help me test this project with TestSprite.

TestSprite MCP Server akan menangani sisanya.

Keunggulan Utama

Peran	Manfaat
Developer	Rilis lebih cepat tanpa menulis tes, dapatkan umpan balik dalam menit (bukan jam), perbaiki masalah secara otomatis dengan analisis bertenaga AI — semua tanpa meninggalkan IDE
Tim	Capai kualitas yang dapat diprediksi dan rilis lebih cepat dengan cakupan yang luas dan konsisten — termasuk kasus tepi (edge cases) — sambil mengurangi upaya QA manual dan overhead pemeliharaan tes

Perbedaan TestSprite vs Pengujian Tradisional

Fitur	Pengujian Tradisional	TestSprite MCP Server
Pembuatan kasus uji	Menulis kasus uji secara manual	AI membuat kasus uji secara otomatis
Pengaturan	Menyiapkan framework yang kompleks	Hampir tidak perlu pengaturan
Debugging	Men-debug kegagalan secara manual	Menganalisis dan memperbaiki masalah untukmu
Integrasi	Menjalankan tes terpisah dari pengembangan	Terintegrasi ke dalam alur kerja pengkodeanmu
Cakupan	Cakupan terbatas yang melewatkan kasus tepi kritis	Cakupan otomatis yang komprehensif

Kemampuan Pengujian

TestSprite MCP Server mendukung pengujian komprehensif untuk aplikasi frontend dan backend:

Frontend (Business-Flow E2E)

Navigasi Perjalanan Pengguna (User Journey Navigation)
Alur & Validasi Formulir (Form Flows & Validation)
Status & Tata Letak Visual (Visual States & Layouts)
Komponen Interaktif & UI Stateful
Alur Otorisasi & Autentikasi
Penanganan Error (UI)

Backend (API & Integrasi)

Pengujian endpoint REST/GraphQL
Validasi respons dan schema
Pengujian autentikasi dan otorisasi

Teknologi yang Didukung

Framework Frontend: React, Vue, Angular, Svelte, Next.js, Vite, Vanilla JavaScript/TypeScript

Teknologi Backend: Node.js, Python, Go, dan lainnya

Prasyarat Instalasi

Sebelum menginstal TestSprite MCP Server, pastikan kamu memiliki:

IDE yang Kompatibel — Cursor, Windsurf, Trae, Claude Code, VSCode, dll.
Akun TestSprite — Daftar gratis
Node.js >= 22 — Unduh Node.js

Langkah 1: Dapatkan API Key

Masuk ke TestSprite Dashboard
Navigasi ke API Keys di bawah Settings
Klik "New API Key"
Salin API key kamu (kamu akan membutuhkannya untuk instalasi)

Langkah 2: Instalasi MCP Server

Ikuti instruksi sesuai IDE yang kamu gunakan:

Trae

Dapatkan API key kamu.
Di Trae, navigasi ke AI Sidebar > AI Management.
Pilih MCP > Add > Add from Marketplace.
Cari TestSprite dan tambahkan ke daftar MCP kamu.
Masukkan API key kamu di Trae dan klik Confirm.
Pilih Builder with MCP dan mulai pengujian.

Cursor

Buka Settings > MCP di Cursor.
Tambahkan konfigurasi berikut:

{
  "mcpServers": {
    "testsprite": {
      "command": "npx",
      "args": ["-y", "@testsprite/mcp-server"],
      "env": {
        "TESTSPRITE_API_KEY": "api-key-kamu-di-sini"
      }
    }
  }
}

Restart Cursor dan mulai pengujian.

VSCode / IDE Lainnya

Buka file konfigurasi MCP IDE kamu.
Tambahkan entri server TestSprite dengan API key kamu.
Restart IDE.

Langkah 3: Verifikasi Instalasi

Indikator Keberhasilan

Asisten AI kamu dapat melihat tools TestSprite MCP
Tidak ada error "command not found"
Siap untuk mulai menguji proyek kamu

Tes Cepat

Coba prompt berikut:

Help me test this project with TestSprite.

Asisten kamu seharusnya menawarkan untuk menggunakan tools TestSprite MCP.

Langkah 4: Jalankan Pengujian Pertamamu

Setelah instalasi berhasil, jalankan pengujian pertamamu:

Buka proyek kamu di IDE
Ketik prompt: Help me test this project with TestSprite
Seret folder proyek ke dalam obrolan jika diminta
Biarkan TestSprite menganalisis proyek dan membuat kasus uji secara otomatis
Pantau progres di TestSprite Dashboard

TestSprite akan:

Mendeteksi teknologi yang digunakan dalam proyekmu
Membuat kasus uji yang relevan secara otomatis
Menjalankan tes dan melaporkan hasilnya
Mengidentifikasi dan mengusulkan perbaikan untuk bug yang ditemukan

Hasil Nyata

TestSprite MCP Server memberikan peningkatan yang terukur:

Kualitas Kode 90%+ — Capai kualitas kode tingkat profesional
Pengujian 10x Lebih Cepat — Dari jam menjadi menit
Tanpa Kurva Belajar — Tidak perlu keahlian pengujian khusus
Perbaikan Bug Otomatis — AI memperbaiki masalah secara otomatis

Uninstalasi

Untuk menghapus TestSprite MCP Server:

Hapus konfigurasi dari pengaturan MCP IDE kamu
Restart IDE kamu

Sumber Daya Tambahan

Diterjemahkan ke Bahasa Indonesia untuk pengembang di Indonesia. Dokumentasi asli: https://docs.testsprite.com

OKX: Platform Kripto Terbaik untuk Trader Indonesia — Review Jujur

kirito asuna — Sat, 02 May 2026 12:01:26 +0000

OKX: Platform Kripto Terbaik untuk Trader Indonesia — Review Jujur

#ad

Sebagai trader kripto yang sudah malang melintang di dunia aset digital, saya sudah mencoba berbagai platform — dari yang lokal sampai internasional. Hari ini saya ingin berbagi pengalaman jujur saya menggunakan OKX, salah satu exchange kripto terbesar di dunia.

Apa Itu OKX?

OKX adalah platform perdagangan kripto global yang didirikan pada 2017. Per hari ini, OKX melayani lebih dari 50 juta pengguna di 160+ negara, dengan volume trading harian yang konsisten masuk 3 besar dunia. Mereka menawarkan spot trading, futures, options, staking, DeFi, Web3 wallet, dan NFT marketplace — semuanya dalam satu aplikasi.

Kelebihan OKX

1. Likuiditas Tinggi dan Spread Ketat

Ini yang paling terasa buat trader aktif. Order saya hampir selalu terisi di harga yang diinginkan. Spread di pair populer seperti BTC/USDT dan ETH/USDT sangat kompetitif dibanding platform lain yang pernah saya coba.

2. Produk Trading yang Lengkap

OKX bukan sekadar spot exchange. Ada:

Futures & Perpetual Swap dengan leverage hingga 125x
Options trading untuk strategi yang lebih sophisticated
Copy trading — cocok untuk pemula yang ingin ikut strategi trader berpengalaman
Bot trading bawaan: Grid Bot, DCA Bot, Arbitrage Bot

Saya sendiri rutin pakai Grid Bot untuk range trading di altcoin. Hasilnya cukup konsisten di pasar sideways.

3. Web3 Wallet Terintegrasi

Ini fitur yang bikin OKX beda. Wallet Web3-nya mendukung 80+ blockchain, bisa akses DeFi, swap cross-chain, dan beli NFT langsung dari aplikasi yang sama. Tidak perlu pindah-pindah wallet.

4. Keamanan Solid

OKX punya Proof of Reserves yang bisa diverifikasi publik — transparansi yang jarang dilakukan exchange lain. Mereka juga punya cold storage untuk mayoritas aset pengguna dan sistem 2FA yang robust.

5. Biaya Kompetitif

Fee maker/taker dimulai dari 0.08%/0.10% dan bisa turun signifikan kalau hold OKB (token native OKX) atau trading volume tinggi. Dibanding beberapa kompetitor, ini cukup hemat untuk trader aktif.

Kekurangan yang Perlu Diketahui

Tidak ada platform yang sempurna. Satu hal yang kadang mengganjal adalah antarmuka yang sedikit overwhelming untuk pemula. Terlalu banyak fitur di satu layar bisa bikin pusing kalau baru pertama kali masuk. Butuh waktu beberapa hari untuk familiar dengan layout-nya.

Selain itu, beberapa fitur advanced (seperti options) masih belum tersedia di semua region, termasuk kadang ada pembatasan di Indonesia terkait regulasi lokal yang perlu diperhatikan.

Siapa yang Cocok Pakai OKX?

Trader aktif yang butuh likuiditas tinggi dan tools lengkap
Investor jangka panjang yang ingin staking dan earn passive income
Pengguna Web3 yang sering interaksi dengan DeFi dan NFT
Pemula yang ingin coba copy trading sambil belajar

Kesimpulan

OKX adalah salah satu platform kripto paling komprehensif yang ada sekarang. Ekosistemnya lengkap, keamanannya terpercaya, dan terus berinovasi. Kalau kamu belum punya akun, daftarkan diri kamu sekarang dan dapatkan bonus untuk pengguna baru.

👉 Daftar OKX di sini: https://www.okx.com/join?channelId=ACE532295

🔑 Gunakan kode undangan: ACE532295

Disclaimer: Investasi kripto memiliki risiko. Artikel ini bukan merupakan saran investasi. Lakukan riset mandiri sebelum berinvestasi.