A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
}
],
"id": "https://wisskomm.social/users/tu_muenchen/statuses/113521413663682937",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-11-21T14:28:25Z",
"url": "https://wisskomm.social/@tu_muenchen/113521413663682937",
"attributedTo": "https://wisskomm.social/users/tu_muenchen",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
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],
"sensitive": false,
"atomUri": "https://wisskomm.social/users/tu_muenchen/statuses/113521413663682937",
"inReplyToAtomUri": null,
"conversation": "tag:wisskomm.social,2024-11-21:objectId=7520218:objectType=Conversation",
"content": "<p>Researchers have developed a new method for de novo <a href=\"https://wisskomm.social/tags/protein\" class=\"mention hashtag\" rel=\"tag\">#<span>protein</span></a> design. Their approach uses the structure prediction capabilities of AlphaFold2 and gradient descent optimization to iteratively refine protein structures: <a href=\"https://go.tum.de/308397\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">go.tum.de/308397</span><span class=\"invisible\"></span></a> 🧬</p><p><a href=\"https://wisskomm.social/tags/BiomedicalEngineering\" class=\"mention hashtag\" rel=\"tag\">#<span>BiomedicalEngineering</span></a> <a href=\"https://wisskomm.social/tags/BiomolecularNanotechnology\" class=\"mention hashtag\" rel=\"tag\">#<span>BiomolecularNanotechnology</span></a></p><p>📷A. Heddergott</p>",
"contentMap": {
"de": "<p>Researchers have developed a new method for de novo <a href=\"https://wisskomm.social/tags/protein\" class=\"mention hashtag\" rel=\"tag\">#<span>protein</span></a> design. Their approach uses the structure prediction capabilities of AlphaFold2 and gradient descent optimization to iteratively refine protein structures: <a href=\"https://go.tum.de/308397\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">go.tum.de/308397</span><span class=\"invisible\"></span></a> 🧬</p><p><a href=\"https://wisskomm.social/tags/BiomedicalEngineering\" class=\"mention hashtag\" rel=\"tag\">#<span>BiomedicalEngineering</span></a> <a href=\"https://wisskomm.social/tags/BiomolecularNanotechnology\" class=\"mention hashtag\" rel=\"tag\">#<span>BiomolecularNanotechnology</span></a></p><p>📷A. Heddergott</p>"
},
"updated": "2024-11-21T14:31:09Z",
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://wisskomm.social/tags/protein",
"name": "#protein"
},
{
"type": "Hashtag",
"href": "https://wisskomm.social/tags/biomedicalengineering",
"name": "#biomedicalengineering"
},
{
"type": "Hashtag",
"href": "https://wisskomm.social/tags/biomolecularnanotechnology",
"name": "#biomolecularnanotechnology"
}
],
"replies": {
"id": "https://wisskomm.social/users/tu_muenchen/statuses/113521413663682937/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://wisskomm.social/users/tu_muenchen/statuses/113521413663682937/replies?only_other_accounts=true&page=true",
"partOf": "https://wisskomm.social/users/tu_muenchen/statuses/113521413663682937/replies",
"items": []
}
}
}