Box
@Box · joined 28 May 2008
Helping devs build the future of intelligent, content-driven apps using @Box. Check out our docs and sign-up for a free developer account on https://t.co/oDLXCnem9S
79 827Followers
3 141Following
13 445Posts total
1.9MViews on collected posts
Latest posts
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@Box @e2b Agents are insanely good at working with POSIX filesystems and sandboxes are the right place for them to run.
Sign-up for the developer preview and let us know what you think!
https://t.co/EfLiJjS3zl
101 views · 2 likes
· 0 reposts · 0 replies
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Read the full announcement: https://t.co/bWnskN36xg
607 views · 4 likes
· 0 reposts · 1 replies
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We’re introducing Box Mount.
Mount a Box folder into a sandbox like @e2b and keep it in two-way sync. The agent reads and writes Box content with standard file operations as if they were local. Every operation flows through the Box API so governance applies automatically, no htt
55.2K views · 49 likes
· 9 reposts · 5 replies
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5:37
GPT-6 Astra from @OpenAI is built for long-horizon analytical work. We evaluated it against GPT 5.6 Sol on Box's Complex Work Eval, real enterprise document tasks where you pull the source files, reason across spreadsheets, contracts, and filings, and produce the actual https://t
188.8K views · 20 likes
· 7 reposts · 1 replies
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OpenClaw 2.0 is out and /loop is now part of the stable release.
Connected to Box, here's what that looks like. One prompt connects @openclaw to an M&A deal room via the Box CLI and starts a recurring check. When a signed customer renewal lands in the folder, OpenClaw catches it
987 views · 9 likes
· 1 reposts · 3 replies
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Introducing Box Agent in Apps.
A multi-step reasoning agent built directly into Box Apps that breaks complex goals into subtasks, searches your content, reads documents, and delivers a traceable answer without you opening a single file.
Compliance questions that would take http
998 views · 6 likes
· 2 reposts · 4 replies
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And read our full evaluation here: https://t.co/Nu8FCmUPm0
402 views · 1 likes
· 1 reposts · 0 replies
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🆕@claudeai Fable 5.1 can reason through capital-markets operations where a trade can match economically and still not be ready for settlement.
In this Box Agent demo, it reconciles five institutional equity trades, catches a 500-share allocation shortfall, an $18,000 pricing htt
559.9K views · 70 likes
· 4 reposts · 5 replies
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@Box @Claude Impressive leap in accuracy and efficiency Fable 5.1 is raising the bar!
106 views · 2 likes
· 0 reposts · 0 replies
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Read our full evaluation: https://t.co/Nu8FCmUPm0
535 views · 1 likes
· 0 reposts · 0 replies
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Anthropic’s @Claude Fable 5.1 is built for multi-step analytical enterprise work. We ran it through Box's Complex Work Eval against Fable 5 :
→ Overall: 72% vs Fable 5's 65% (+7pp)
→ Financial Services: +19pp over Fable 5
→ Technology: +37pp over Fable 5
→ Public Sector: https:
785.4K views · 92 likes
· 8 reposts · 15 replies
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Box has signed @OpenAI's call for collective action on cyber defense, alongside more than 150 other industry leaders.
Our contribution starts at the content layer, where the most sensitive enterprise data lives and where the most important security decisions get made. https://t.
318.7K views · 15 likes
· 4 reposts · 4 replies
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Against accounts of the same size
13 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.
Median views998this account924median for 10K–100K
Reach, %1.25%this account3.62%median for 10K–100K
Engagement, %0.50%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 998 | 924 | 1.08× |
| Reach (views ÷ followers) | 1.25% | 3.62% | 0.35× |
| Engagement rate | 0.50% | 1.52% | 0.33× |
Others in this range → Compare with another account → How these benchmarks are built →
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
318.7K31 Aug
785.4K1 Sep
535
106
559.9K2 Sep
1.8K
402
9983 Sep
987
188.8K
55.2K8 Sep
607
101
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.01%31 Aug
0.02%1 Sep
0.19%
1.89%
0.01%2 Sep
0.74%
0.50%
1.20%3 Sep
1.42%
0.01%
0.11%8 Sep
0.82%
1.98%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes68.8%280 in total
Reposts9.3%38 in total
Replies9.8%40 in total
Quotes1.2%5 in total
Bookmarks10.8%44 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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