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ODSC (Open Data Science Conference) AI ✓

@_odsc · Boston, MA · joined 04 Feb 2015

Bringing together the global data science community to help foster the exchange of innovative ideas and encourage the growth of open source software.

110 752Followers
24 198Following
71 495Posts total
3KViews on collected posts

Postingan terbaru

Snowflake Expedition 2026 brings together builders and leaders for technical deep dives, hands-on bootcamps, product announcements, and real-world approaches to building with data and AI. Explore agentic workflows, AI-ready data, Snowflake’s latest capabilities, and techniques h
255 views · 0 likes · 0 reposts · 0 replies Open on X →
AI is moving from experimentation into real systems, and the builders leading that shift are working across deployment, infrastructure, safety, agents, open-source tooling, and enterprise adoption. At ODSC AI West 2026, learn from speakers including Sara Zanzottera, Scott https:
434 views · 2 likes · 1 reposts · 0 replies Open on X →
What does it look like when AI agents help run the work, not just write the code? In this ODSC Ai X Podcast episode, @shawmakesmagic, creator of ElizaOS, explains how a two-person team coordinates a fleet of agents using GitHub issues, pull requests, reviews, worktrees, and http
541 views · 2 likes · 0 reposts · 0 replies Open on X →
Explore why Anthropic’s policy chief argues that AI safety needs enforceable safeguards and accountability, rather than relying on voluntary commitments from AI companies. #DataScience #AI #ArtificialIntelligence #ODSC https://t.co/PUixPHnvut 817 views · 1 likes · 0 reposts · 0 replies Open on X →
@_odsc The interesting common thread is evaluation: agents, robots, and AI coding systems all need tests that measure behavior under autonomy, not just benchmark accuracy. That may be the most important frontier here. 3 views · 0 likes · 0 reposts · 0 replies Open on X →
AI is changing fast and the people building what comes next are the ones worth listening to. Meet the first six ODSC AI West keynotes whose work spans some of the biggest shifts happening across AI right now, from agents and trustworthy AI to robotics and AI-powered software htt
992 views · 1 likes · 1 reposts · 2 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan488akun ini5 983median untuk 100K–1M
Jangkauan, %0.44%akun ini1.49%median untuk 100K–1M
Interaksi, %0.25%akun ini0.93%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan4885 9830.08×
Jangkauan (tayangan ÷ pengikut)0.44%1.49%0.30×
Tingkat interaksi0.25%0.93%0.26×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

99214 Sep
3
81724 Sep
541
434
255

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.40%14 Sep
0.00%
0.12%24 Sep
0.37%
0.69%
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes54.5%6 in total
Reposts18.2%2 in total
Replies18.2%2 in total
Bookmarks9.1%1 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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