Sometimes I used AtData and AtWith.
I found the builder generator always terrible (because the way the think builder-pattern is IMHO wrong).
Sometimes I used AtData and AtWith.
I found the builder generator always terrible (because the way the think builder-pattern is IMHO wrong).
* Sync 1.1正式仕様化
* 仕様文言修正
* IETFレビュー/投票状況
* アクセス管理案(bucket)
* 02/27オフィスアワー(録画)
* HappyView: appviewフレームワーク
* inlay: atprotoビュー定義
* atdata: 機械学習データセット共有
* Layers: 言語データ公開lexicon
* ScholarView: 論文執筆&共有アプリ
* PrulalHost: 仮想アカウント管理
* atBB: 掲示板
* 電気通信事業法関連私見
* Sync 1.1正式仕様化
* 仕様文言修正
* IETFレビュー/投票状況
* アクセス管理案(bucket)
* 02/27オフィスアワー(録画)
* HappyView: appviewフレームワーク
* inlay: atprotoビュー定義
* atdata: 機械学習データセット共有
* Layers: 言語データ公開lexicon
* ScholarView: 論文執筆&共有アプリ
* PrulalHost: 仮想アカウント管理
* atBB: 掲示板
* 電気通信事業法関連私見
Video breakdown
0:00 Introduction
0:31 The Checkpoint Editor
0:42 A Simple Test for Emails
1:45 Email Analysis with AtData
2:52 Test Order on Shopify
3:18 Payment Protection with Sift
4:48 More Capabilities
5:27 Summary
Video breakdown
0:00 Introduction
0:31 The Checkpoint Editor
0:42 A Simple Test for Emails
1:45 Email Analysis with AtData
2:52 Test Order on Shopify
3:18 Payment Protection with Sift
4:48 More Capabilities
5:27 Summary
Not part of the #atscience day, but deserves the hashtag. Hope @emily.space is watching this.
Not part of the #atscience day, but deserves the hashtag. Hope @emily.space is watching this.
Everyone is rushing to apply AI, but foundational identity gaps, fraud and bad inputs are only being amplified, not solved, by models.
#seo #smm
Adapting to customer journeys that increasingly resemble competing AI systems interpreting trust, risk, intent, and identity in real time.
#seo #smm
AI agents, shared signals and fragmented identities are distorting marketing intelligence. Most brands do not know who is really acting.
#seo #smm
atdata.es/estrategia-2...
atdata.es/estrategia-2...
Basically, the way it's working here for atdata, PDS records are used for
* sample / metadata type schemas
* index entries for datasets and readable labels
* trusted lenses between schemas
* manifests (for fast filtering)
++
Basically, the way it's working here for atdata, PDS records are used for
* sample / metadata type schemas
* index entries for datasets and readable labels
* trusted lenses between schemas
* manifests (for fast filtering)
++
#Analytics #& #conversion #Sponsored #content #Opinion
Origin | Interest | Match
#Analytics #& #conversion #Sponsored #content #Opinion
Origin | Interest | Match
#Analytics #& #conversion #Sponsored #content #Opinion
Origin | Interest | Match
#Analytics #& #conversion #Sponsored #content #Opinion
Origin | Interest | Match
Marketers focus on first-party data promised control. But ownership didn’t solve identity accuracy, activity visibility or customer truth.
#seo #smm
We’ve gotten better at connecting data. But in the rush to unify, we forgot to ask: are we connecting anything real?
#seo #smm
Experian, a data and technology company, has acquired AtData, a data and intelligence company backed by email insights technology. Financial terms of the deal were not disclosed. The acquisition expands Experian's data and identity assets, adding more than10 billion email…
Experian, a data and technology company, has acquired AtData, a data and intelligence company backed by email insights technology. Financial terms of the deal were not disclosed. The acquisition expands Experian's data and identity assets, adding more than10 billion email…
By: hello@maxine.science, maxine@forecast.bio on Wednesday, February 4, 2026
By: hello@maxine.science, maxine@forecast.bio on Wednesday, February 4, 2026