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VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

What data was used to create Visions?

The Visions dataset was built from over 10,000 public-domain artworks, later refined to only 666. These images were drawn from major open-access museum archives such as The Met, Rijksmuseum, NGA, Getty, AIC, and Europeana. Search terms that guided the curation included allegory, vanitas, trompe-l’œil, plague, apocalypse, mirror, mask, dream, and satire, revealing coded critiques beneath visual beauty and merging diverse art movements to form a dataset where seduction and critique coexist, providing the aesthetic and conceptual foundation for Visions.

What is the process behind Visions?

Visions operates as a self-evolving visual ecosystem where image, data, and code form a continuous feedback loop.

Once the dataset is prepared and expanded using diffusion models; selected regions of images are reimagined in real time through iterative inpainting, where every new layer influences the next. As the system regenerates, it constantly evaluates visual coherence and translates computational states into evolving motion, depth, and relation. Through this interplay of analysis and regeneration, Visions transforms raw data into an autonomous hallucinatory choreography of perception, revealing how machines interpret, remember, and dream images.

Trilogy of Series
Visions is the final chapter in Orkhan Mammadov’s trilogy exploring the transformation of memory in the age of artificial intelligence, and associated societal implications. Rêveries explored how the machine dreams, Lost Memories from Latent Space dives into the subconscious of neural networks, and Visions mirrors the innate instability of human memory and perceived truths. Together, they trace a dialogue between human and machine perception, revealing how technology is reshaping our collecting perception.
最低価格
合計出来高
最低価格
合計出来高
最低価格
合計出来高
Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Collaborators
Orkhan Mammadov collaborates with a diverse team of experts to bring his projects to life. Working closely with generative system designers and developers, he integrates cutting-edge AI and computational processes into his art. Collaborations with art curators ensure that each installation and exhibition engages audiences meaningfully, connecting technological innovation with cultural and aesthetic insight. These partnerships allow Mammadov to expand the boundaries of new media art while maintaining a thoughtful dialogue between creativity, data, and human experience.
Slava Rybin

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Learn more
Marcin Ignac

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Learn more
Farah Piriye Coene

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Learn more

VISIONS by ORKHAN

作成者 orkhan_mammadov
Ethereum
666
2025年10月
アート
ミント終了
作成者 orkhan_mammadov
Ethereum
666
2025年10月発売
アート
ミント終了
最低価格
0.085 ETH
1階 %-22.7%
トップオファー
0.0501 WETH
24時間の出来高 0.00 ETH
合計出来高84.45 ETH
出品中5%
所有者 (一意)296 (44.4%)

VISIONS by ORKHAN
VISIONS by ORKHAN

作成者 orkhan_mammadov
Ethereum
666
2025年10月
アート
ミント終了
作成者 orkhan_mammadov
Ethereum
666
2025年10月発売
アート
ミント終了
アイテム
オファー
所有者
特性
アクティビティ
当社について

VISIONS by ORKHAN

作成者 orkhan_mammadov
Ethereum
666
2025年10月
アート
ミント終了
作成者 orkhan_mammadov
Ethereum
666
2025年10月発売
アート
ミント終了
最低価格
0.085 ETH
1階 %-22.7%
トップオファー
0.0501 WETH
24時間の出来高 0.00 ETH
合計出来高84.45 ETH
出品中5%
所有者 (一意)296 (44.4%)

VISIONS by ORKHAN
VISIONS by ORKHAN

作成者 orkhan_mammadov
Ethereum
666
2025年10月
アート
ミント終了
作成者 orkhan_mammadov
Ethereum
666
2025年10月発売
アート
ミント終了
アイテム
オファー
所有者
特性
アクティビティ
当社について
ライブミント
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時間
ライブセールス
アイテム
価格
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時間
ライブミント
ミンター
価格
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時間
ライブセールス
アイテム
価格
送信元
時間
VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

What data was used to create Visions?

The Visions dataset was built from over 10,000 public-domain artworks, later refined to only 666. These images were drawn from major open-access museum archives such as The Met, Rijksmuseum, NGA, Getty, AIC, and Europeana. Search terms that guided the curation included allegory, vanitas, trompe-l’œil, plague, apocalypse, mirror, mask, dream, and satire, revealing coded critiques beneath visual beauty and merging diverse art movements to form a dataset where seduction and critique coexist, providing the aesthetic and conceptual foundation for Visions.

What is the process behind Visions?

Visions operates as a self-evolving visual ecosystem where image, data, and code form a continuous feedback loop.

Once the dataset is prepared and expanded using diffusion models; selected regions of images are reimagined in real time through iterative inpainting, where every new layer influences the next. As the system regenerates, it constantly evaluates visual coherence and translates computational states into evolving motion, depth, and relation. Through this interplay of analysis and regeneration, Visions transforms raw data into an autonomous hallucinatory choreography of perception, revealing how machines interpret, remember, and dream images.

Trilogy of Series
Visions is the final chapter in Orkhan Mammadov’s trilogy exploring the transformation of memory in the age of artificial intelligence, and associated societal implications. Rêveries explored how the machine dreams, Lost Memories from Latent Space dives into the subconscious of neural networks, and Visions mirrors the innate instability of human memory and perceived truths. Together, they trace a dialogue between human and machine perception, revealing how technology is reshaping our collecting perception.
最低価格
合計出来高
最低価格
合計出来高
最低価格
合計出来高
Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Collaborators
Orkhan Mammadov collaborates with a diverse team of experts to bring his projects to life. Working closely with generative system designers and developers, he integrates cutting-edge AI and computational processes into his art. Collaborations with art curators ensure that each installation and exhibition engages audiences meaningfully, connecting technological innovation with cultural and aesthetic insight. These partnerships allow Mammadov to expand the boundaries of new media art while maintaining a thoughtful dialogue between creativity, data, and human experience.
Slava Rybin

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Learn more
Marcin Ignac

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Learn more
Farah Piriye Coene

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Learn more
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VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

VISIONS - Procedural AI-Data Paintings

Today, misinformation spreads faster than ever, blurring the line between reality and a fabrication. Visions illustrates how memory mutates and distorts, with an interactive experience where every touch alters the artwork, showing how memory and reality constantly rewrite themselves.

The series draws on classical masterpieces by artists like Holbein, Bosch, Bruegel, and Velázquez, each known for concealing social critiques within their work. In doing so, it illustrates how throughout history the only truth images carry is their power to deceive.

What data was used to create Visions?

The Visions dataset was built from over 10,000 public-domain artworks, later refined to only 666. These images were drawn from major open-access museum archives such as The Met, Rijksmuseum, NGA, Getty, AIC, and Europeana. Search terms that guided the curation included allegory, vanitas, trompe-l’œil, plague, apocalypse, mirror, mask, dream, and satire, revealing coded critiques beneath visual beauty and merging diverse art movements to form a dataset where seduction and critique coexist, providing the aesthetic and conceptual foundation for Visions.

What is the process behind Visions?

Visions operates as a self-evolving visual ecosystem where image, data, and code form a continuous feedback loop.

Once the dataset is prepared and expanded using diffusion models; selected regions of images are reimagined in real time through iterative inpainting, where every new layer influences the next. As the system regenerates, it constantly evaluates visual coherence and translates computational states into evolving motion, depth, and relation. Through this interplay of analysis and regeneration, Visions transforms raw data into an autonomous hallucinatory choreography of perception, revealing how machines interpret, remember, and dream images.

Trilogy of Series
Visions is the final chapter in Orkhan Mammadov’s trilogy exploring the transformation of memory in the age of artificial intelligence, and associated societal implications. Rêveries explored how the machine dreams, Lost Memories from Latent Space dives into the subconscious of neural networks, and Visions mirrors the innate instability of human memory and perceived truths. Together, they trace a dialogue between human and machine perception, revealing how technology is reshaping our collecting perception.
最低価格
合計出来高
最低価格
合計出来高
最低価格
合計出来高
Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Orkhan Mammadov

Orkhan Mammadov is a London-based Azerbaijani new media artist working with computational fine art. Known for pioneering AI and generative art, he transforms data and collective memory into immersive experiences. Trained in computer science, visual communication, and fine arts, Mammadov began as a self-taught designer and became a leading figure in digital culture. His projects examine how memory, perception, and identity shift with machine intelligence. Representing Azerbaijan at the Venice Biennale in 2019, he gained global attention for data-driven installations that blur the real and the simulated. Exhibited at Art Dubai, Miami Art Basel, and the Museum of the Future, his work invites audiences to rethink creativity and memory in the digital age.

More about artist: www.orkhan.art/about

Collaborators
Orkhan Mammadov collaborates with a diverse team of experts to bring his projects to life. Working closely with generative system designers and developers, he integrates cutting-edge AI and computational processes into his art. Collaborations with art curators ensure that each installation and exhibition engages audiences meaningfully, connecting technological innovation with cultural and aesthetic insight. These partnerships allow Mammadov to expand the boundaries of new media art while maintaining a thoughtful dialogue between creativity, data, and human experience.
Slava Rybin

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Slava Rybin is a systems artist exploring perception, feedback and complexity with new media — toward a deeper insight into life and mind.

Learn more
Marcin Ignac

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Marcin Ignac is a data artist and founder of Variable, London based studio exploring new ways of experiencing and interacting with data. His work is inspired by structures of biological organisms, patterns emerging from data and complexity of computer algorithms.

Learn more
Farah Piriye Coene

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Farah Piriye Coene is an independent curator, art consultant, and cultural producer, as well as co-founder of ZEITGEIST19, a research-led platform exploring the intersection of art and sustainability. Her curatorial practice spans multidisciplinary projects—including installations, performances, films, and sound art—that bridge art and scientific research. Focused on transnational dialogues, her work examines how history, migration, memory, identity, and social forces intersect with environmental challenges. With dual MAs from Sotheby’s Institute of Art and Central Saint Martins, Farah develops socially engaged projects, talks, and podcasts that highlight the interconnectedness of humanity, culture, and the environment.

Learn more
Lost Memories by ORKHAN
最低価格 :
0.75 ETH
合計出来高3.20 ETH
Reveries by ORKHAN
最低価格 :
0.135 ETH
合計出来高9.72 ETH
VISIONS by ORKHAN
最低価格 :
0.085 ETH
合計出来高84.45 ETH
Lost Memories by ORKHAN
最低価格 :
0.75 ETH
合計出来高3.20 ETH
Reveries by ORKHAN
最低価格 :
0.135 ETH
合計出来高9.72 ETH
VISIONS by ORKHAN
最低価格 :
0.085 ETH
合計出来高84.45 ETH
Lost Memories by ORKHAN
最低価格 :
0.75 ETH
合計出来高3.20 ETH
Reveries by ORKHAN
最低価格 :
0.135 ETH
合計出来高9.72 ETH
VISIONS by ORKHAN
最低価格 :
0.085 ETH
合計出来高84.45 ETH
ミント VISIONS by ORKHAN
利用可能なアイテム0
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ミント VISIONS by ORKHAN
ミントされたアイテム666 / 666
Treasury & Team売り切れすべてのアイテムがミントされました
アイテムを表示
ミントスケジュール
  1. Treasury & Team開始日:
    0.00 ETH
  2. Trilogy Holders + GUILD Members開始日:
    0.06 ETH
    | ウォレットあたり上限 5
  3. My all collector + Friend artist collectors開始日:
    0.075 ETH
    | ウォレットあたり上限 3
  4. Public Sale開始日:終了日:
    0.075 ETH
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ミント VISIONS by ORKHAN
ミントされたアイテム666 / 666
Treasury & Team売り切れすべてのアイテムがミントされました
アイテムを表示
ミントスケジュール
  1. Treasury & Team開始日:
    0.00 ETH
  2. Trilogy Holders + GUILD Members開始日:
    0.06 ETH
    | ウォレットあたり上限 5
  3. My all collector + Friend artist collectors開始日:
    0.075 ETH
    | ウォレットあたり上限 3
  4. Public Sale開始日:終了日:
    0.075 ETH
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oxmikem
oxmikem
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1
degenrob.eth
degenrob.eth
0.15 ETH
2
rtjh
rtjh
0.075 ETH
1
Gold737
Gold737
0.075 ETH
1
$haringiscaring.eth
$haringiscaring.eth
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orkhan_mammadov
orkhan_mammadov
0.375 ETH
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SpiritMonke
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Hehee
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ACtheCollector
ACtheCollector
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Cypher0xd
Cypher0xd
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1
AldoverMemes
AldoverMemes
0.15 ETH
2
0x668e4809187ed09e976d5befa0807624480735e7
668e48
0.15 ETH
2
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Hehee
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jarvinart
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trusttrader
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wafture
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degenrob.eth
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oxmikem
oxmikem
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degenrob.eth
degenrob.eth
0.15 ETH
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rtjh
rtjh
0.075 ETH
1
Gold737
Gold737
0.075 ETH
1
$haringiscaring.eth
$haringiscaring.eth
0.075 ETH
1
orkhan_mammadov
orkhan_mammadov
0.375 ETH
5
0x5136
0x5136
0.075 ETH
1
SpiritMonke
SpiritMonke
0.225 ETH
3
Hehee
Hehee
0.075 ETH
1
Tonybearbrick
Tonybearbrick
0.15 ETH
2
ACtheCollector
ACtheCollector
0.075 ETH
1
Cypher0xd
Cypher0xd
0.075 ETH
1
AldoverMemes
AldoverMemes
0.15 ETH
2
0x668e4809187ed09e976d5befa0807624480735e7
668e48
0.15 ETH
2
Hehee
Hehee
0.075 ETH
1
jarvinart
jarvinart
0.075 ETH
1
trusttrader
trusttrader
297.0222 USDC
1
wafture
wafture
0.15 ETH
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degenrob.eth
degenrob.eth
0.075 ETH
1
SpiritMonke
SpiritMonke
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oxmikem
oxmikem
0.075 ETH
1
degenrob.eth
degenrob.eth
0.15 ETH
2
rtjh
rtjh
0.075 ETH
1
Gold737
Gold737
0.075 ETH
1
$haringiscaring.eth
$haringiscaring.eth
0.075 ETH
1
orkhan_mammadov
orkhan_mammadov
0.375 ETH
5
0x5136
0x5136
0.075 ETH
1
SpiritMonke
SpiritMonke
0.225 ETH
3
Hehee
Hehee
0.075 ETH
1
Tonybearbrick
Tonybearbrick
0.15 ETH
2
ACtheCollector
ACtheCollector
0.075 ETH
1
Cypher0xd
Cypher0xd
0.075 ETH
1
AldoverMemes
AldoverMemes
0.15 ETH
2
0x668e4809187ed09e976d5befa0807624480735e7
668e48
0.15 ETH
2
Hehee
Hehee
0.075 ETH
1
jarvinart
jarvinart
0.075 ETH
1
trusttrader
trusttrader
297.0222 USDC
1
wafture
wafture
0.15 ETH
2
degenrob.eth
degenrob.eth
0.075 ETH
1
SpiritMonke
SpiritMonke
0.15 ETH
2
ミンター
価格
数量
時間
oxmikem
oxmikem
0.075 ETH
1
degenrob.eth
degenrob.eth
0.15 ETH
2
rtjh
rtjh
0.075 ETH
1
Gold737
Gold737
0.075 ETH
1
$haringiscaring.eth
$haringiscaring.eth
0.075 ETH
1
orkhan_mammadov
orkhan_mammadov
0.375 ETH
5
0x5136
0x5136
0.075 ETH
1
SpiritMonke
SpiritMonke
0.225 ETH
3
Hehee
Hehee
0.075 ETH
1
Tonybearbrick
Tonybearbrick
0.15 ETH
2
ACtheCollector
ACtheCollector
0.075 ETH
1
Cypher0xd
Cypher0xd
0.075 ETH
1
AldoverMemes
AldoverMemes
0.15 ETH
2
0x668e4809187ed09e976d5befa0807624480735e7
668e48
0.15 ETH
2
Hehee
Hehee
0.075 ETH
1
jarvinart
jarvinart
0.075 ETH
1
trusttrader
trusttrader
297.0222 USDC
1
wafture
wafture
0.15 ETH
2
degenrob.eth
degenrob.eth
0.075 ETH
1
SpiritMonke
SpiritMonke
0.15 ETH
2
アイテム
価格
送信元
時間
655
Visions #655
0.09 ETH
4fbe7a
227
Visions #227
0.051 WETH
36c5d7
121
Visions #121
0.065 ETH
4fbe7a
29
Visions #029
0.0625 ETH
dolsWarm
657
Visions #657
0.09 WETH
8f44e2
657
Visions #657
0.0725 ETH
4fbe7a
442
Visions #442
0.07 ETH
4fbe7a
390
Visions #390
0.055 WETH
4d6ace
143
Visions #143
0.0651 WETH
80816c
605
Visions #605
0.065 WETH
fastmac.eth
134
Visions #134
0.11 ETH
akchao
134
Visions #134
0.0651 WETH
DAOjones
177
Visions #177
0.12 ETH
35000_eth
444
Visions #444
0.065 WETH
80816c
256
Visions #256
0.08 WETH
RIVERS-
417
Visions #417
0.08 WETH
Honesis_vault
87
Visions #087
0.45 ETH
51dcdf
375
Visions #375
0.0888 WETH
36c5d7
65
Visions #065
0.0889 WETH
jpmoregainz.eth
267
Visions #267
0.0889 WETH
jpmoregainz.eth
アイテム
価格
送信元
時間
655
Visions #655
0.09 ETH
4fbe7a
227
Visions #227
0.051 WETH
36c5d7
121
Visions #121
0.065 ETH
4fbe7a
29
Visions #029
0.0625 ETH
dolsWarm
657
Visions #657
0.09 WETH
8f44e2
657
Visions #657
0.0725 ETH
4fbe7a
442
Visions #442
0.07 ETH
4fbe7a
390
Visions #390
0.055 WETH
4d6ace
143
Visions #143
0.0651 WETH
80816c
605
Visions #605
0.065 WETH
fastmac.eth
134
Visions #134
0.11 ETH
akchao
134
Visions #134
0.0651 WETH
DAOjones
177
Visions #177
0.12 ETH
35000_eth
444
Visions #444
0.065 WETH
80816c
256
Visions #256
0.08 WETH
RIVERS-
417
Visions #417
0.08 WETH
Honesis_vault
87
Visions #087
0.45 ETH
51dcdf
375
Visions #375
0.0888 WETH
36c5d7
65
Visions #065
0.0889 WETH
jpmoregainz.eth
267
Visions #267
0.0889 WETH
jpmoregainz.eth
アイテム
価格
送信元
時間
655
Visions #655
0.09 ETH
4fbe7a
227
Visions #227
0.051 WETH
36c5d7
121
Visions #121
0.065 ETH
4fbe7a
29
Visions #029
0.0625 ETH
dolsWarm
657
Visions #657
0.09 WETH
8f44e2
657
Visions #657
0.0725 ETH
4fbe7a
442
Visions #442
0.07 ETH
4fbe7a
390
Visions #390
0.055 WETH
4d6ace
143
Visions #143
0.0651 WETH
80816c
605
Visions #605
0.065 WETH
fastmac.eth
134
Visions #134
0.11 ETH
akchao
134
Visions #134
0.0651 WETH
DAOjones
177
Visions #177
0.12 ETH
35000_eth
444
Visions #444
0.065 WETH
80816c
256
Visions #256
0.08 WETH
RIVERS-
417
Visions #417
0.08 WETH
Honesis_vault
87
Visions #087
0.45 ETH
51dcdf
375
Visions #375
0.0888 WETH
36c5d7
65
Visions #065
0.0889 WETH
jpmoregainz.eth
267
Visions #267
0.0889 WETH
jpmoregainz.eth
アイテム
価格
送信元
時間
655
Visions #655
0.09 ETH
4fbe7a
227
Visions #227
0.051 WETH
36c5d7
121
Visions #121
0.065 ETH
4fbe7a
29
Visions #029
0.0625 ETH
dolsWarm
657
Visions #657
0.09 WETH
8f44e2
657
Visions #657
0.0725 ETH
4fbe7a
442
Visions #442
0.07 ETH
4fbe7a
390
Visions #390
0.055 WETH
4d6ace
143
Visions #143
0.0651 WETH
80816c
605
Visions #605
0.065 WETH
fastmac.eth
134
Visions #134
0.11 ETH
akchao
134
Visions #134
0.0651 WETH
DAOjones
177
Visions #177
0.12 ETH
35000_eth
444
Visions #444
0.065 WETH
80816c
256
Visions #256
0.08 WETH
RIVERS-
417
Visions #417
0.08 WETH
Honesis_vault
87
Visions #087
0.45 ETH
51dcdf
375
Visions #375
0.0888 WETH
36c5d7
65
Visions #065
0.0889 WETH
jpmoregainz.eth
267
Visions #267
0.0889 WETH
jpmoregainz.eth