Top 8 crypto presales making headlines in February 2026

ambcryptoDipublikasikan tanggal 2026-02-11Terakhir diperbarui pada 2026-02-11

Abstrak

In February 2026, several crypto presales are gaining attention for their innovative approaches and early fundraising success. These presales allow investors to raise capital and build communities while offering early access to new projects. The top eight highlighted presales include: 1. **DeepSnitch AI (DSNT)**: An AI-driven platform analyzing on-chain data and market sentiment, raising over $1.5 million. 2. **Pepepawn (PEPA)**: A DeFi pawn shop concept for crypto-backed liquidity, raising $2.32 million. 3. **OPZ (OPZ)**: An AI-powered self-custody wallet solution, raising around $900,000. 4. **Digitap ($TAP)**: A utility-focused token with a $4.6 million presale raise. 5. **IPO Genie ($IPO)**: A platform tokenizing early-stage investments for retail access. 6. **LivLive**: A project emphasizing real-world traction and user activity. 7. **Nexchain**: A technical infrastructure project focusing on blockchain efficiency. 8. **Bitcoin Hyper ($HYPER)**: A Bitcoin Layer-2 solution aiming for faster, cheaper transactions. These projects represent diverse sectors like AI, DeFi, infrastructure, and accessibility, though investors are advised to research thoroughly due to inherent risks in early-stage investments.

Crypto presales are essentially early token sales that take place before a project goes live on public exchanges. They give blockchain teams a way to raise capital in the early stages, often helping cover development costs, audits, marketing, and the groundwork needed to launch properly. At the same time, presales help projects test demand and build a community before the token reaches a wider market.

On the other hand, for users, presales offer a chance to get in early and explore new ideas before they become mainstream. While the risks are higher compared to established tokens, early access can also mean better pricing and closer involvement with a project’s growth. Here’s a look at the top 8 crypto presales making headlines in February 2026.

1. DeepSnitch AI (DSNT)

DeepSnitch AI is a project solely focused on building a suite of AI tools designed to help users make sense of the constant noise in crypto markets. The platform uses a network of specialised agents that analyse on-chain data, sentiment trends, and project risks, then turn that information into practical insights. Features include sentiment tracking through SnitchFeed, forecast-style outputs via SnitchGPT, and token risk checks through AuditSnitch, which categorises new coins based on credibility and potential red flags. The idea is to package complex market signals into something that everyday traders and investors can interpret more easily.

The native token, DSNT, is currently in its presale phase, where the project has raised over $1.5 million across its first five stages. The platform ultimately targets a global crypto audience that now numbers in the hundreds of millions, catering to users who prefer structured data and clearer signals before making trading decisions.

2. Pepepawn (PEPA)

Pepepawn takes a slightly different route compared to typical meme-led launches by pairing a familiar internet character with a more practical use case. The project operates like a blockchain-based pawn shop, allowing users to leverage their crypto assets for short-term liquidity rather than selling outright.

So far, the presale has raised about $2.32 million over 11 stages. While the momentum has been steadier rather than explosive, the numbers suggest consistent interest from early buyers, particularly those drawn to utility-driven DeFi concepts with a lighter, meme-led identity.

3. OPZ (OPZ)

OPZ is developing an AI-powered self-custody solution aimed at users who want more control over how they store and manage their digital assets. Instead of relying on centralised platforms, the project focuses on combining automation and AI assistance with wallet security, helping users handle transactions and asset management without giving up ownership. The approach leans into a growing part of the market that values independence and safer alternatives to custodial services.

The OPZ token is currently in presale and has raised around $900,000 across 13 stages. Although the project has undergone multiple rounds of fundraising, it’s still considered to be in its early phase compared to many other projects, highlighting a consistent and steady interest from early backers.

4. Digitap ($TAP)

Digitap has drawn attention this month after reporting a relatively large presale raise early on. The project is built around a utility-first concept rather than leaning into meme culture, with the token tied to practical use instead of pure speculation. That clearer focus on function gives it a slightly different tone compared to many early-stage launches that rely mostly on branding and short-term buzz.

So far, the presale has brought in roughly $4.6 million, which naturally puts it on the radar for buyers tracking momentum. Still, a strong rise doesn’t automatically translate into long-term strength. As with any presale, it’s worth looking closer at the token structure, vesting terms, and distribution before treating the headline figure as the full picture.

5. IPO Genie ($IPO)

IPO Genie is built around the idea of giving retail users access to deals that typically sit behind private or venture-style networks. The platform aims to use tokenization to open up exposure to early-stage investments that are usually limited to institutions or high-net-worth participants. In short, it’s trying to bring a private-market model into a more accessible, token-first format.

The $IPO token is currently in presale, with coverage noting steady stage progress and growing early attention. Much of the interest centers on whether the platform can translate the concept into real deal flow and clear participation rules. As with similar finance-focused launches, the appeal largely depends on execution rather than just the idea itself.

6. LivLive

LivLive is framed around actual platform activity rather than just early-stage marketing. The project focuses on building visible usage from the start, pointing to things like active users, partnerships, and clear rollout milestones to support its value. Instead of leaning on big claims or aggressive token narratives, the emphasis is on showing steady, real-world progress as the product develops.

As the presale moves forward, attention around LivLive seems tied to that practical approach. For many participants, measurable traction carries more weight than headline promises, making the project one of the quieter but more utility-driven names in this month’s lineup.

7. Nexchain

Nexchain takes a more technical approach compared to many early-stage tokens. The project talks about faster validation, automation, and network efficiency, with an emphasis on infrastructure rather than consumer-facing features. It reads more like a backend blockchain build than a trend-driven launch.

The token is currently in presale, with the project outlining its roadmap and development alongside the raise. As with similar early-stage platforms, details like audits, token supply allocation, and lockups will likely play a role in how the launch unfolds over time.

8. Bitcoin Hyper ($HYPER)

Bitcoin Hyper is no stranger to the crypto market. The project focuses on improving Bitcoin’s speed and usability through a Layer-2-style approach, talking about faster transactions and lower costs while still tying itself closely to the Bitcoin ecosystem. The concept is relatively easy to grasp, which makes it more accessible compared to some of the more technical presale launches.

The $HYPER token is currently in presale, with steady contributions continuing to come in week by week. Rather than a single spike in funding, the raise has moved at a consistent pace, suggesting ongoing demand. As the sale progresses, details around exchange listings and post-launch liquidity will likely play a bigger role in how the token trades once it goes live.

Final thoughts

Crypto presales continue to offer a simple way for users to explore new ideas and get involved with projects at an early stage. For many, they offer a low-barrier entry point into emerging platforms, whether the focus is on AI tools, DeFi utilities, or infrastructure plays. At the same time, early access often comes with higher uncertainty, so users are always advised to review projects, read white papers, token structures, and project details carefully before committing any significant funds.


Disclaimer. Readers are encouraged to do their own research. Ambcrypto is not liable for any outcomes related to the use of information, products, or services mentioned. This content may include affiliate or partner links.

Pertanyaan Terkait

QWhat is the main purpose of crypto presales according to the article?

ACrypto presales are early token sales that help blockchain teams raise capital for development costs, audits, marketing, while allowing projects to test demand and build a community before public exchange listings.

QWhich project focuses on AI tools for crypto market analysis and has raised over $1.5 million in its presale?

ADeepSnitch AI (DSNT) is building AI tools to analyze on-chain data and market sentiment, having raised over $1.5 million across five presale stages.

QHow does Pepepawn (PEPA) differentiate itself from typical meme coin projects?

APepepawn combines a meme character with a practical DeFi use case, operating as a blockchain-based pawn shop that allows users to leverage crypto assets for short-term liquidity instead of selling them.

QWhat unique approach does IPO Genie ($IPO) take in the crypto space?

AIPO Genie uses tokenization to give retail users access to early-stage investment deals traditionally limited to institutions or high-net-worth individuals, aiming to democratize private-market investments.

QWhich project in the list is focused on improving Bitcoin's transaction efficiency?

ABitcoin Hyper ($HYPER) is a Layer-2-style solution focused on increasing Bitcoin's transaction speed and reducing costs while remaining tied to the Bitcoin ecosystem.

Bacaan Terkait

Seberapa Tinggi Kemungkinan TradeXYZ Memisahkan Diri dari Hyperliquid?

Penulis|Golem, Odaily Planet Daily Seiring pertumbuhan bisnis TradeXYZ yang terus meluas dan menguasai lebih dari 90% pangsa pasar HIP-3 Hyperliquid, diskusi komunitas mengenai kemungkinan TradeXYZ memisahkan diri dari Hyperliquid dan membangun platform perdagangan mandiri semakin meningkat. Analis Sam menyoroti tiga pertanyaan kritis bagi investor HYPE terkait hal ini. TradeXYZ kini mendominasi HIP-3 Hyperliquid, menyumbang 93% dari total volume perdagangan dan 99.7% dari total open interest (OI). Kontribusinya terhadap total volume Hyperliquid mencapai lebih dari 70%, menjadikannya pilar utama. Alasan utama potensi 'keluar' adalah untuk menangkap lebih banyak biaya perdagangan dasar, mengingat pembagian pendapatan saat ini adalah 50/50 dengan Hyperliquid. Namun, terdapat faktor-faktor yang membatasi keputusan tersebut. Pertama, kinerja Hyperliquid yang unggul sulit untuk ditiru dalam waktu singkat. Kedua, Hyperliquid berperan sebagai saluran distribusi dan akuisisi pengguna utama bagi TradeXYZ. Ketiga, terdapat hubungan kepercayaan yang kuat antara pendiri kedua proyek. Kesimpulannya, meskipun TradeXYZ memiliki pengaruh dan daya tawar yang besar, membangun infrastruktur mandiri dianggap tidak rasional karena berisiko tinggi dan dapat berakhir sebagai situasi 'kalah-kalah'. Hyperliquid kehilangan narasi pertumbuhan utama, sementara TradeXYZ menghadapi tantangan teknis, kehilangan saluran distribusi, dan risiko reputasi. Jalur terbaik bagi TradeXYZ kemungkinan adalah bernegosiasi ulang pembagian pendapatan dan secara bertahap mengalihkan fokus ke pengembangan produk dan kepemilikan pengguna, sambil mempertahankan integrasi yang menguntungkan dengan Hyperliquid.

marsbit15m yang lalu

Seberapa Tinggi Kemungkinan TradeXYZ Memisahkan Diri dari Hyperliquid?

marsbit15m yang lalu

Robot "Tinky Winky" Datang ke Rumah untuk Bersih-Bersih, Rp 300.000/Jam, Murni "Kecerdasan Buatan" Manual

Perusahaan robotika AS Tau Robotics memperkenalkan layanan pembersihan rumah menggunakan robot humanoid yang dikendalikan dari jarak jauh (remote). Robot dengan antena di kepala seperti "Wi-Fi router" ini menawarkan jasa bersih-bersih di area San Francisco dengan harga $30 (sekitar Rp 200.000) per jam, lebih murah dibandingkan jasa pembersih manusia. Artikel mengungkapkan bahwa demonstrasi video yang memperlihatkan robot mampu mencuci tangan, mengepel lantai, dan membuang sampah sebenarnya dioperasikan secara manual dari jarak jauh, bukan sepenuhnya otonom. Meski begitu, video tersebut diputar dalam kecepatan normal (1x), berbeda dengan demo robot lain yang sering dipercepat. Tau Robotics, startup yang baru didirikan tahun 2024, memiliki tiga "karyawan" robot: Chelsea untuk dapur dan kamar mandi, Elon untuk pembersihan rutin dan mengingat penataan barang, serta Tony untuk pembersihan mendalam. Pendekatan remote control ini dinilai sebagai cara cerdas untuk mengisi kesenjangan kemampuan (gap) sambil mengumpulkan data dari lingkungan rumah nyata, mirip dengan konsep "shadow mode" pada mobil otonom. Alasan menggunakan bentuk humanoid adalah agar operator dapat memetakan gerakan tubuhnya secara intuitif ke robot, sehingga memudahkan kendali jarak jauh untuk tugas-tugas rumit. Artikel juga menyebutkan tantangan besar robot humanoid masuk ke rumah tangga dan membandingkannya dengan upaya serupa di Tiongkok serta robot 1X Neo dari AS. Meski demikian, kehadiran robot berbentuk manusia di rumah dianggap dapat memberikan nilai emosional tertentu bagi pengguna. Layanan Tau saat ini tersedia secara undangan di San Francisco.

marsbit30m yang lalu

Robot "Tinky Winky" Datang ke Rumah untuk Bersih-Bersih, Rp 300.000/Jam, Murni "Kecerdasan Buatan" Manual

marsbit30m yang lalu

Dari TPU ke Agent yang Berevolusi Sendiri: Bagaimana Jeff Dean Menilai Langkah Selanjutnya AI

Jeff Dean, Kepala Ilmuwan AI di Google, membagikan pandangannya tentang arah perkembangan AI dalam wawancara di YC Startup School 2026. Ia menekankan bahwa tahap berikutnya AI bukan hanya tentang melatih model yang lebih pintar, tetapi membangun sistem yang memungkinkan AI bekerja jangka panjang, terus mencoba, memvalidasi otomatis, dan mengakumulasi kemampuan. **Tren Utama AI:** * **Perubahan Fokus:** Kompetisi AI bergeser dari "siapa yang memiliki model lebih besar" ke "siapa yang dapat mengorganisir kecerdasan dengan lebih baik." * **Kemampuan Agent:** Kemampuan AI kini mendekati insinyur pemula dan berkembang pesat dalam tugas kompleks dan alur kerja panjang. * **Otomatisasi Penelitian:** Sistem AI akan semakin banyak digunakan untuk meningkatkan sistem AI itu sendiri melalui eksperimen otomatis dan evaluasi. **Peluang dan Tantangan:** * **Peluang Startup:** Tim kecil dapat bersaing dengan fokus pada bidang spesifik di mana model umum gagal (tingkat keberhasilan ~1%). Peluang terletak pada data milik pribadi, alat evaluasi khusus, atau model domain-spesifik. * **Tantangan Teknis:** Biaya utama dalam sistem AI saat ini adalah **perpindahan data**, bukan komputasi. **Latensi rendah** dan **efisiensi energi** sangat penting untuk pengambilan keputusan real-time dan agen yang berjalan lama. * **Rekayasa Konteks:** Kunci untuk sistem AI yang berguna terletak pada organisasi konteks—alat, memori, lingkungan eksekusi, dan mekanisme umpan balik—bukan hanya modelnya sendiri. **Keterampilan (skills)** yang dikodekan menjadi aset berharga. **Saran untuk Inovasi:** * **Prinsip Pertama:** Tantang asumsi yang ada dan hitung kembali batasan dari sudut pandang prinsip pertama. * **Spesifikasi yang Jelas:** Ketika kode menjadi murah, **spesifikasi yang jelas**, **selera (taste)** dalam memilih masalah, dan **standar penerimaan** menjadi lebih berharga. * **Metode Ilmiah Terotomatisasi:** AI dapat mempercepat siklus penemuan dengan mengotomatisasi proposal eksperimen dan membuat verifikasi yang cepat dan murah. Pada intinya, di era AI, kemampuan langka yang paling berharga tetaplah **kemampuan untuk melihat dan mendefinisikan masalah dengan jelas.**

marsbit1j yang lalu

Dari TPU ke Agent yang Berevolusi Sendiri: Bagaimana Jeff Dean Menilai Langkah Selanjutnya AI

marsbit1j yang lalu

Trading

Spot
活动图片