ActivityPub Viewer

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.

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{ "@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://sigmoid.social/users/nbara/statuses/109364295784408988", "type": "Note", "summary": null, "inReplyTo": null, "published": "2022-11-18T10:18:40Z", "url": "https://sigmoid.social/@nbara/109364295784408988", "attributedTo": "https://sigmoid.social/users/nbara", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://sigmoid.social/users/nbara/followers" ], "sensitive": false, "atomUri": "https://sigmoid.social/users/nbara/statuses/109364295784408988", "inReplyToAtomUri": null, "conversation": "tag:sigmoid.social,2022-11-18:objectId=593893:objectType=Conversation", "content": "<p>Hi all, I’m a researcher working on brain-computer interfaces at Snap Inc.</p><p>My goal is to prove that noninvasive <a href=\"https://sigmoid.social/tags/BCI\" class=\"mention hashtag\" rel=\"tag\">#<span>BCI</span></a> and <a href=\"https://sigmoid.social/tags/neurofeedback\" class=\"mention hashtag\" rel=\"tag\">#<span>neurofeedback</span></a> can provide value outside of the lab.</p><p>Currently for me that includes (but does not limit to) applying <a href=\"https://sigmoid.social/tags/deeplearning\" class=\"mention hashtag\" rel=\"tag\">#<span>deeplearning</span></a> methods to <a href=\"https://sigmoid.social/tags/timeseries\" class=\"mention hashtag\" rel=\"tag\">#<span>timeseries</span></a> data like <a href=\"https://sigmoid.social/tags/EEG\" class=\"mention hashtag\" rel=\"tag\">#<span>EEG</span></a>, but also other sensors like <a href=\"https://sigmoid.social/tags/eyetracking\" class=\"mention hashtag\" rel=\"tag\">#<span>eyetracking</span></a> or inertial sensors (<a href=\"https://sigmoid.social/tags/IMUs\" class=\"mention hashtag\" rel=\"tag\">#<span>IMUs</span></a>)
</p><p>
Also a <a href=\"https://sigmoid.social/tags/python\" class=\"mention hashtag\" rel=\"tag\">#<span>python</span></a> geek. I maintain an M/EEG analysis toolbox<br />➡️ <a href=\"https://github.com/nbara/python-meegkit\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/nbara/python-meegki</span><span class=\"invisible\">t</span></a> </p><p>

<a href=\"https://sigmoid.social/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> <a href=\"https://sigmoid.social/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a> <a href=\"https://sigmoid.social/tags/altac\" class=\"mention hashtag\" rel=\"tag\">#<span>altac</span></a> <a href=\"https://sigmoid.social/tags/neurotech\" class=\"mention hashtag\" rel=\"tag\">#<span>neurotech</span></a></p>", "contentMap": { "en": "<p>Hi all, I’m a researcher working on brain-computer interfaces at Snap Inc.</p><p>My goal is to prove that noninvasive <a href=\"https://sigmoid.social/tags/BCI\" class=\"mention hashtag\" rel=\"tag\">#<span>BCI</span></a> and <a href=\"https://sigmoid.social/tags/neurofeedback\" class=\"mention hashtag\" rel=\"tag\">#<span>neurofeedback</span></a> can provide value outside of the lab.</p><p>Currently for me that includes (but does not limit to) applying <a href=\"https://sigmoid.social/tags/deeplearning\" class=\"mention hashtag\" rel=\"tag\">#<span>deeplearning</span></a> methods to <a href=\"https://sigmoid.social/tags/timeseries\" class=\"mention hashtag\" rel=\"tag\">#<span>timeseries</span></a> data like <a href=\"https://sigmoid.social/tags/EEG\" class=\"mention hashtag\" rel=\"tag\">#<span>EEG</span></a>, but also other sensors like <a href=\"https://sigmoid.social/tags/eyetracking\" class=\"mention hashtag\" rel=\"tag\">#<span>eyetracking</span></a> or inertial sensors (<a href=\"https://sigmoid.social/tags/IMUs\" class=\"mention hashtag\" rel=\"tag\">#<span>IMUs</span></a>)
</p><p>
Also a <a href=\"https://sigmoid.social/tags/python\" class=\"mention hashtag\" rel=\"tag\">#<span>python</span></a> geek. I maintain an M/EEG analysis toolbox<br />➡️ <a href=\"https://github.com/nbara/python-meegkit\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/nbara/python-meegki</span><span class=\"invisible\">t</span></a> </p><p>

<a href=\"https://sigmoid.social/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> <a href=\"https://sigmoid.social/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a> <a href=\"https://sigmoid.social/tags/altac\" class=\"mention hashtag\" rel=\"tag\">#<span>altac</span></a> <a href=\"https://sigmoid.social/tags/neurotech\" class=\"mention hashtag\" rel=\"tag\">#<span>neurotech</span></a></p>" }, "updated": "2022-11-18T10:29:54Z", "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://sigmoid.social/tags/bci", "name": "#bci" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/neurofeedback", "name": "#neurofeedback" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/deeplearning", "name": "#deeplearning" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/TimeSeries", "name": "#TimeSeries" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/eeg", "name": "#eeg" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/eyetracking", "name": "#eyetracking" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/imus", "name": "#imus" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/Python", "name": "#Python" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/Introduction", "name": "#Introduction" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/neuroscience", "name": "#neuroscience" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/altac", "name": "#altac" }, { "type": "Hashtag", "href": "https://sigmoid.social/tags/neurotech", "name": "#neurotech" } ], "replies": { "id": "https://sigmoid.social/users/nbara/statuses/109364295784408988/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://sigmoid.social/users/nbara/statuses/109364295784408988/replies?only_other_accounts=true&page=true", "partOf": "https://sigmoid.social/users/nbara/statuses/109364295784408988/replies", "items": [] } }, "likes": { "id": "https://sigmoid.social/users/nbara/statuses/109364295784408988/likes", "type": "Collection", "totalItems": 10 }, "shares": { "id": "https://sigmoid.social/users/nbara/statuses/109364295784408988/shares", "type": "Collection", "totalItems": 0 } }