🐦 Twitter Post Details

Viewing enriched Twitter post

@anneouyang

Excited to share what friends and I have been working on at @Standard_Kernel We've raised from General Catalyst (@generalcatalyst), Felicis (@felicis), and a group of exceptional angels. We have some great H100 BF16 kernels in pure CUDA+PTX, featuring: - Matmul 102%-105% perf of cuBLAs in 100 lines of code - Attention 104% perf of FlashAttention3 in 500 lines - Fused Llama3 FFN 120% perf of PyTorch (gpt-fast) Reach out if you want to work on AI kernel gen with us!

Media 1

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1967610221712519612/media_0.jpg?",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1967610221712519612/media_0.jpg?",
      "type": "photo",
      "filename": "media_0.jpg"
    }
  ],
  "processed_at": "2025-09-18T14:25:36.085626",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "1967610221712519612",
  "url": "https://x.com/anneouyang/status/1967610221712519612",
  "twitterUrl": "https://twitter.com/anneouyang/status/1967610221712519612",
  "text": "Excited to share what friends and I have been working on at @Standard_Kernel \n\nWe've raised from General Catalyst (@generalcatalyst), Felicis (@felicis), and a group of exceptional angels. \n\nWe have some great H100 BF16 kernels in pure CUDA+PTX, featuring:\n- Matmul 102%-105% perf of cuBLAs in 100 lines of code\n- Attention 104% perf of FlashAttention3 in 500 lines\n- Fused Llama3 FFN 120% perf of PyTorch (gpt-fast)\n\nReach out if you want to work on AI kernel gen with us!",
  "source": "Twitter for iPhone",
  "retweetCount": 86,
  "replyCount": 47,
  "likeCount": 945,
  "quoteCount": 18,
  "viewCount": 166301,
  "createdAt": "Mon Sep 15 15:23:27 +0000 2025",
  "lang": "en",
  "bookmarkCount": 557,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "1967610221712519612",
  "displayTextRange": [
    0,
    281
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "anneouyang",
    "url": "https://x.com/anneouyang",
    "twitterUrl": "https://twitter.com/anneouyang",
    "id": "1655914914",
    "name": "Anne Ouyang",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1703833881475178496/zGPWiKnK_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1655914914/1695753719",
    "description": "",
    "location": "sf bay area",
    "followers": 7309,
    "following": 921,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Thu Aug 08 18:25:16 +0000 2013",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 6242,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 49,
    "statusesCount": 563,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "1967610221712519612"
    ],
    "profile_bio": {
      "description": "Building @Standard_Kernel, CS PhD student @Stanford | prev: cuDNN @Nvidia, M.Eng, B.S. in CS @MIT | efficient scalable self-improving AI systems | 🌽KernelBench",
      "entities": {
        "description": {
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                9,
                25
              ],
              "name": "",
              "screen_name": "Standard_Kernel"
            },
            {
              "id_str": "0",
              "indices": [
                42,
                51
              ],
              "name": "",
              "screen_name": "Stanford"
            },
            {
              "id_str": "0",
              "indices": [
                66,
                73
              ],
              "name": "",
              "screen_name": "Nvidia"
            },
            {
              "id_str": "0",
              "indices": [
                93,
                97
              ],
              "name": "",
              "screen_name": "MIT"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "anneouyang.com",
              "expanded_url": "http://anneouyang.com",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/Md2Atxeadi"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "allow_download_status": {
          "allow_download": true
        },
        "display_url": "pic.twitter.com/G7TDS2lvDm",
        "expanded_url": "https://twitter.com/anneouyang/status/1967610221712519612/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": [
              {
                "h": 91,
                "w": 91,
                "x": 1399,
                "y": 179
              }
            ]
          },
          "orig": {
            "faces": [
              {
                "h": 135,
                "w": 135,
                "x": 2054,
                "y": 264
              }
            ]
          }
        },
        "id_str": "1967467759232815104",
        "indices": [
          282,
          305
        ],
        "media_key": "3_1967467759232815104",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARtN2YDAGxAACgACG05bEmGaMbwAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABG03ZgMAbEAAKAAIbTlsSYZoxvAAA",
            "media_key": "3_1967467759232815104"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/G03ZgMAbEAACXt_.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 1683,
              "w": 3006,
              "x": 0,
              "y": 0
            },
            {
              "h": 1698,
              "w": 1698,
              "x": 1027,
              "y": 0
            },
            {
              "h": 1698,
              "w": 1489,
              "x": 1132,
              "y": 0
            },
            {
              "h": 1698,
              "w": 849,
              "x": 1452,
              "y": 0
            },
            {
              "h": 1698,
              "w": 3006,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1698,
          "width": 3006
        },
        "sizes": {
          "large": {
            "h": 1157,
            "w": 2048
          }
        },
        "type": "photo",
        "url": "https://t.co/G7TDS2lvDm"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "user_mentions": [
      {
        "id_str": "1967416159780921344",
        "indices": [
          60,
          76
        ],
        "name": "Standard Kernel Co.",
        "screen_name": "Standard_Kernel"
      },
      {
        "id_str": "31099876",
        "indices": [
          115,
          131
        ],
        "name": "General Catalyst",
        "screen_name": "generalcatalyst"
      },
      {
        "id_str": "382162909",
        "indices": [
          143,
          151
        ],
        "name": "Felicis",
        "screen_name": "felicis"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}