@NaderLikeLadder
RT @benitoz: The Perplexity team and @NaderLikeLadder from NVIDIA demoed Computer for me during my lunch break at Hot Chips. This makes DG…
🐦 Twitter Post Details
Viewing enriched Twitter post
📊 Media Metadata
{
"score": 0.32,
"score_components": {
"author": 0.09,
"engagement": 0.0,
"quality": 0.020000000000000004,
"source": 0.135,
"nlp": 0.05,
"recency": 0.025
},
"scored_at": "2026-08-25T18:04:49.455664",
"import_source": "api_import",
"source_tagged_at": "2026-08-25T18:04:49.455678",
"enriched": true,
"enriched_at": "2026-08-25T18:04:49.455680"
}🔧 Raw API Response
{
"type": "tweet",
"id": "2092289453889081365",
"url": "https://x.com/NaderLikeLadder/status/2092289453889081365",
"twitterUrl": "https://twitter.com/NaderLikeLadder/status/2092289453889081365",
"text": "RT @benitoz: The Perplexity team and @NaderLikeLadder from NVIDIA demoed Computer for me during my lunch break at Hot Chips.\n\nThis makes DG…",
"source": "Twitter for iPhone",
"retweetCount": 3,
"replyCount": 3,
"likeCount": 20,
"quoteCount": 0,
"viewCount": 2858,
"createdAt": "Tue Aug 25 16:34:13 +0000 2026",
"lang": "en",
"bookmarkCount": 2,
"isReply": false,
"inReplyToId": null,
"conversationId": "2092289453889081365",
"displayTextRange": [
0,
140
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "NaderLikeLadder",
"url": "https://x.com/NaderLikeLadder",
"twitterUrl": "https://twitter.com/NaderLikeLadder",
"id": "825885658635841536",
"name": "Nader Khalil🍊",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1512288394516185090/1hse2F3__normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/825885658635841536/1698678990",
"description": "",
"location": "The Cabana | San Francisco",
"followers": 13723,
"following": 3493,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Mon Jan 30 01:57:40 +0000 2017",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 28568,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 603,
"statusesCount": 6307,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1813286240093151412"
],
"profile_bio": {
"description": "Director of Developer Tech @ NVIDIA, Co-founder/CEO https://t.co/GCUjRDOu73 acquired by NVIDIA • I laugh til I cry it's not the same on zoom •YC W20 | UCSB • views are my own",
"entities": {
"description": {
"urls": [
{
"display_url": "Brev.dev",
"expanded_url": "http://Brev.dev",
"indices": [
52,
75
],
"url": "https://t.co/GCUjRDOu73"
}
]
},
"url": {
"urls": [
{
"display_url": "nader.coffee",
"expanded_url": "https://nader.coffee",
"indices": [
0,
23
],
"url": "https://t.co/KJXtuACUlI"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {
"user_mentions": [
{
"id_str": "30399584",
"indices": [
3,
11
],
"name": "Ben Pouladian",
"screen_name": "benitoz"
},
{
"id_str": "825885658635841536",
"indices": [
37,
53
],
"name": "Nader Khalil🍊",
"screen_name": "NaderLikeLadder"
}
]
},
"quoted_tweet": null,
"retweeted_tweet": {
"type": "tweet",
"id": "2092289332057125342",
"url": "https://x.com/benitoz/status/2092289332057125342",
"twitterUrl": "https://twitter.com/benitoz/status/2092289332057125342",
"text": "The Perplexity team and @NaderLikeLadder from NVIDIA demoed Computer for me during my lunch break at Hot Chips.\n\nThis makes DGX Spark a genuinely easy-to-use, useful agentic workstation.\n\nExcited to plug it into my own workflows and see what it can do.\n\n(Excuse the etched hat it was sunny 🤣)\n\nSpeed of light $NVDA",
"source": "Twitter for iPhone",
"retweetCount": 3,
"replyCount": 3,
"likeCount": 20,
"quoteCount": 0,
"viewCount": 2858,
"createdAt": "Tue Aug 25 16:33:44 +0000 2026",
"lang": "en",
"bookmarkCount": 2,
"isReply": false,
"inReplyToId": null,
"conversationId": "2092289332057125342",
"displayTextRange": [
0,
279
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "benitoz",
"url": "https://x.com/benitoz",
"twitterUrl": "https://twitter.com/benitoz",
"id": "30399584",
"name": "Ben Pouladian",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1647023468981137408/2Bnlz9S7_normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/30399584/1605166024",
"description": "",
"location": "Los Angeles, CA",
"followers": 22685,
"following": 1175,
"status": "",
"canDm": true,
"canMediaTag": false,
"createdAt": "Sat Apr 11 04:40:54 +0000 2009",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 70747,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 4861,
"statusesCount": 33203,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"2086785382377562523"
],
"profile_bio": {
"description": "AI Infrastructure • Compute Economics • Semiconductors • Models • Power • $NVDA since 2016",
"entities": {
"description": {
"symbols": [
{
"indices": [
74,
79
],
"text": "NVDA"
}
]
},
"url": {
"urls": [
{
"display_url": "bepresearch.com",
"expanded_url": "https://bepresearch.com/",
"indices": [
0,
23
],
"url": "https://t.co/9cLK70x6eP"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.x.com/HXFfZ81SDF",
"expanded_url": "https://x.com/benitoz/status/2092289332057125342/photo/1",
"ext_master_playlist_only": [],
"ext_media_availability": {
"status": "Available"
},
"ext_playlists": [],
"features": {
"large": {
"faces": [
{
"h": 84,
"w": 84,
"x": 906,
"y": 898
},
{
"h": 146,
"w": 146,
"x": 208,
"y": 1664
},
{
"h": 180,
"w": 180,
"x": 676,
"y": 1190
},
{
"h": 176,
"w": 176,
"x": 568,
"y": 1546
}
]
},
"orig": {
"faces": [
{
"h": 84,
"w": 84,
"x": 906,
"y": 898
},
{
"h": 146,
"w": 146,
"x": 208,
"y": 1664
},
{
"h": 180,
"w": 180,
"x": 676,
"y": 1190
},
{
"h": 176,
"w": 176,
"x": 568,
"y": 1546
}
]
}
},
"id_str": "2092289328844288002",
"indices": [
280,
303
],
"media_key": "3_2092289328844288002",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAAR0JTg8lGrACCgACHQlOD+Sasd4AAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHQlODyUasAIKAAIdCU4P5Jqx3gAA",
"media_key": "3_2092289328844288002"
}
},
"media_url_https": "https://pbs.twimg.com/media/HQlODyUasAIvglj.jpg",
"original_info": {
"focus_rects": [
{
"h": 597,
"w": 1066,
"x": 0,
"y": 1080
},
{
"h": 1066,
"w": 1066,
"x": 0,
"y": 845
},
{
"h": 1215,
"w": 1066,
"x": 0,
"y": 771
},
{
"h": 2048,
"w": 1024,
"x": 42,
"y": 0
},
{
"h": 2048,
"w": 1066,
"x": 0,
"y": 0
}
],
"height": 2048,
"width": 1066
},
"sizes": {
"large": {
"h": 2048,
"w": 1066
}
},
"type": "photo",
"url": "https://t.co/HXFfZ81SDF"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [
{
"indices": [
309,
314
],
"text": "NVDA"
}
],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "825885658635841536",
"indices": [
24,
40
],
"name": "Nader Khalil🍊",
"screen_name": "NaderLikeLadder"
}
]
},
"quoted_tweet": {
"type": "tweet",
"id": "2092269796700373041",
"url": "https://x.com/NaderLikeLadder/status/2092269796700373041",
"twitterUrl": "https://twitter.com/NaderLikeLadder/status/2092269796700373041",
"text": "2 months ago, we crashed Jensen's board meeting to show him Perplexity running locally on DGX Spark 🤣\n\n(lol im holding architecture diagrams like he's gonna look at em during a board meeting)\n\nLocal AI used to be for enthusiasts. Folks were running tiny quantized models on underpowered hardware, getting a few tok/s. Exciting, but not practical.\n\nBut now GLM 5.2 is my daily driver.\n\nLocal AI hit an inflection point with frontier open source models like GLM 5.2, Deepseek v4 flash, and Nemotron + hardware powerful enough to run them, like DGX Spark and DGX Station.\n\nDevelopers are running fleets of agents. But there has yet to be a great personal agent experience for local AI.\n\nThe current bottleneck is the know-how to set up inference and get meaningful performance out of it. I'm excited about Perplexity Portable Computer bc it’s an app that fully sets up a great local AI experience out of the box.",
"source": "Twitter for iPhone",
"retweetCount": 9,
"replyCount": 17,
"likeCount": 191,
"quoteCount": 7,
"viewCount": 26478,
"createdAt": "Tue Aug 25 15:16:06 +0000 2026",
"lang": "en",
"bookmarkCount": 54,
"isReply": false,
"inReplyToId": null,
"conversationId": "2092269796700373041",
"displayTextRange": [
0,
273
],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {
"type": "user",
"userName": "NaderLikeLadder",
"url": "https://x.com/NaderLikeLadder",
"twitterUrl": "https://twitter.com/NaderLikeLadder",
"id": "825885658635841536",
"name": "Nader Khalil🍊",
"isVerified": false,
"isBlueVerified": true,
"verifiedType": null,
"profilePicture": "https://pbs.twimg.com/profile_images/1512288394516185090/1hse2F3__normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/825885658635841536/1698678990",
"description": "",
"location": "The Cabana | San Francisco",
"followers": 13723,
"following": 3493,
"status": "",
"canDm": true,
"canMediaTag": true,
"createdAt": "Mon Jan 30 01:57:40 +0000 2017",
"entities": {
"description": {
"urls": []
},
"url": {}
},
"fastFollowersCount": 0,
"favouritesCount": 28568,
"hasCustomTimelines": true,
"isTranslator": false,
"mediaCount": 603,
"statusesCount": 6307,
"withheldInCountries": [],
"affiliatesHighlightedLabel": {},
"possiblySensitive": false,
"pinnedTweetIds": [
"1813286240093151412"
],
"profile_bio": {
"description": "Director of Developer Tech @ NVIDIA, Co-founder/CEO https://t.co/GCUjRDOu73 acquired by NVIDIA • I laugh til I cry it's not the same on zoom •YC W20 | UCSB • views are my own",
"entities": {
"description": {
"urls": [
{
"display_url": "Brev.dev",
"expanded_url": "http://Brev.dev",
"indices": [
52,
75
],
"url": "https://t.co/GCUjRDOu73"
}
]
},
"url": {
"urls": [
{
"display_url": "nader.coffee",
"expanded_url": "https://nader.coffee",
"indices": [
0,
23
],
"url": "https://t.co/KJXtuACUlI"
}
]
}
}
},
"isAutomated": false,
"automatedBy": null
},
"extendedEntities": {
"media": [
{
"allow_download_status": {
"allow_download": true
},
"display_url": "pic.x.com/2D3TK1FLTJ",
"expanded_url": "https://x.com/NaderLikeLadder/status/2092269796700373041/photo/1",
"ext_master_playlist_only": [],
"ext_media_availability": {
"status": "Available"
},
"ext_playlists": [],
"features": {
"large": {
"faces": [
{
"h": 111,
"w": 111,
"x": 1319,
"y": 311
},
{
"h": 111,
"w": 111,
"x": 877,
"y": 329
},
{
"h": 105,
"w": 105,
"x": 1043,
"y": 335
},
{
"h": 115,
"w": 115,
"x": 753,
"y": 277
},
{
"h": 129,
"w": 129,
"x": 1195,
"y": 367
},
{
"h": 128,
"w": 128,
"x": 515,
"y": 201
}
]
},
"orig": {
"faces": [
{
"h": 218,
"w": 218,
"x": 2578,
"y": 609
},
{
"h": 218,
"w": 218,
"x": 1714,
"y": 644
},
{
"h": 207,
"w": 207,
"x": 2039,
"y": 656
},
{
"h": 226,
"w": 226,
"x": 1472,
"y": 542
},
{
"h": 253,
"w": 253,
"x": 2335,
"y": 718
},
{
"h": 250,
"w": 250,
"x": 1007,
"y": 394
}
]
}
},
"id_str": "2092269639434964992",
"indices": [
274,
297
],
"media_key": "3_2092269639434964992",
"media_results": {
"id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAAR0JPCbY2xAACgACHQk8S3aawDEAAA==",
"result": {
"__typename": "ApiMedia",
"id": "QXBpTWVkaWE6DAABCgABHQk8JtjbEAAKAAIdCTxLdprAMQAA",
"media_key": "3_2092269639434964992"
}
},
"media_url_https": "https://pbs.twimg.com/media/HQk8JtjbEAAjlUQ.jpg",
"original_info": {
"focus_rects": [
{
"h": 2240,
"w": 4000,
"x": 0,
"y": 0
},
{
"h": 2252,
"w": 2252,
"x": 774,
"y": 0
},
{
"h": 2252,
"w": 1975,
"x": 913,
"y": 0
},
{
"h": 2252,
"w": 1126,
"x": 1337,
"y": 0
},
{
"h": 2252,
"w": 4000,
"x": 0,
"y": 0
}
],
"height": 2252,
"width": 4000
},
"sizes": {
"large": {
"h": 1153,
"w": 2048
}
},
"type": "photo",
"url": "https://t.co/2D3TK1FLTJ"
}
]
},
"card": null,
"place": {},
"entities": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"quoted_tweet": {
"type": "tweet",
"id": "2092269109086126575",
"url": "",
"twitterUrl": "",
"text": "",
"source": "Twitter for iPhone",
"retweetCount": 0,
"replyCount": 0,
"likeCount": 0,
"quoteCount": 0,
"viewCount": 0,
"createdAt": "",
"lang": "",
"bookmarkCount": 0,
"isReply": false,
"inReplyToId": null,
"conversationId": "",
"displayTextRange": [],
"inReplyToUserId": null,
"inReplyToUsername": null,
"author": {},
"extendedEntities": {},
"card": null,
"place": {},
"entities": {},
"quoted_tweet": null,
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": null,
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": null,
"article": null
},
"retweeted_tweet": null,
"isLimitedReply": false,
"communityInfo": null,
"article": null
},
"isLimitedReply": false,
"communityInfo": null,
"article": null
}