CHRP

Harga Chirpley 
CHRP

Rp308.14  

1.07% (1h)

Grafik Chirpley ke IDR

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Tambahkan ke daftar pantauan
Statistik Chirpley
Kap pasar
 

1.07%

Rp 127,268,874,936
#1170
Volume (24j)
 

21.93%

Rp 3,858,281,400
#1952
Volume/Kap pasar (24 jam)
 
3.03%
Suplai beredar
 
413,029,583 CHRP
Suplai total
 
989,982,098 CHRP
Suplai maksimum
 
--
Kapitalisasi pasar terdilusi penuh
 
Rp 305,048,144,124
Konverter CHRP ke IDR
CHRP
IDR
Performa harga
24j 
Rendah
Rp300.26
Tinggi
Rp324.92
Tertinggi sepanjang masa
Mar 23, 2024 (a month ago)
Rp603.27
-48.92%
Terendah sepanjang masa
Feb 13, 2023 (a year ago)
Rp24.11
+1178.27%
Lihat data historis
Popularitas
Dalam daftar pantauan9,104x
2503rd / 9.8K
Self-Reported Tags
MarketplaceAI & Big DataContent CreationTampilkan semua
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Chirpley community

 
 
 
 
 
 
 
 
 
 
skeleton-white

Pasar Chirpley

Semua Pasangan

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Berita Chirpley

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Tentang Chirpley

What makes Chirpley (CHRP) unique?

Chirpley uses the below key innovations to make the product more sustainable and profitable.

  • AI driven selection and execution
  • 1 click marketing bombs
  • Free to access for both brand and influencer
  • End-to-end automation of influencer campaigns
  • Independent marketplace to integrate all social media channels
  • Accelerate the nano-micro segment of influencer marketing

Which Technologies does Chirpley (CHRP) Use?

Chirpley (CHRP) Product Dive

Chirpley (CHRP) Marketing Strategy

Strong brand awareness and demand generation will be achieved through the following methods:

Run specific cross-media campaigns to promote Chirpley’s key milestones:

Development: C Core.NET, MVC ASP.NET, MSSQL/NOSQL. The system is set up using microservices as the basis. 

Software: The software is split into several layers, front-end, middleware, back-end. Everything is in design asynchronously, and this is something that will grow further in the future. The architecture however is prepared for this.

Databases: The database system is primarily transaction based MSSQL, however mixed with Razor DB (NOSQL) for high storage load and little writes. The combination is very powerful and also very scalable.

Global scaling: This architecture is also, in the basis, prepared to scale globally, as all storage can be asynchronously added, there can and will never be a conflict. The system being stateless, we are prepared to 'easily' setup regional satellites and decentral backend systems.

AI: A separate engine that can interact with the corresponding microservices. The separate engine can run the algorithms.

Business Model

Token Utility Value