DigitalOcean ✓
@digitalocean · CO · joined 06 Jan 2012
The AI-Native Cloud. ☁️ Status: @DOstatus Support: https://t.co/5gkvyionbi
225 871Followers
235Following
82 108Posts total
3.8MViews on collected posts
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@digitalocean Managed agent infra is having its Heroku moment, and I don't think we're going back.
Great to see this from DO, one of the OG companies to democratize infra for devs ❤️
6.1K views · 23 likes
· 0 reposts · 4 replies
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@ExaAILabs @supabase @Box .@qencode built a support-triage agent on Managed Agents. Their agent reads each incoming request, weighs urgency, sentiment, and account value, then opens or updates a Jira ticket, and kicks anything it isn't sure about to a human. Qencode CEO @muradmor
11.7K views · 49 likes
· 1 reposts · 3 replies
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@ExaAILabs @supabase @Box One more doctl command gives you direct access to 75+ open and proprietary models, with advanced features like intelligent model routing and synthesizing the best results of multiple models.
12.1K views · 36 likes
· 0 reposts · 3 replies
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Action Gateway gives it tools. @ExaAILabs, @Supabase, and @Box are all providers behind one MCP endpoint. The credentials resolve when a call runs, exist for that one call, and never reach the agent or the sandbox. https://t.co/xzHLvyOVKN
13.5K views · 60 likes
· 1 reposts · 4 replies
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Checkpoints snapshot the machine and the agent's memory together. Fork one session three ways, throw three approaches at the same refactor, keep the one that works. https://t.co/UwrfrqpeoM
16K views · 55 likes
· 1 reposts · 6 replies
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0:08
Sessions are durable and fast to spin up or down. Pause one on Friday, resume it Monday with the workspace and the whole conversation still there. You don't pay for it while it sits, and it resumes in 316ms. https://t.co/ty9ozeucak
21.1K views · 75 likes
· 1 reposts · 6 replies
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Harness Runtime gives the agent a super fast machine. One doctl command puts Claude Code, Codex, LangGraph, or more into an isolated environment. https://t.co/FgXtKVqqDJ
31K views · 110 likes
· 3 reposts · 5 replies
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DigitalOcean Managed Agents is now in public preview.
Run Claude Code, Codex, or your own LangGraph agent in a runtime environment that pauses when idle. Put its tools behind one governed endpoint, and pick from 75+ open and proprietary models. One cloud, one bill.
Prompts to
3.6M views · 2.8K likes
· 2.1K reposts · 257 replies
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1:31
Your agent can write the code. Can it open the PR? 🤔
Every tool it touches needs a credential. Action Gateway makes this fast, easy, and safe to manage.
Attached after the request leaves, used once, discarded. The model never sees a key.
It doesn't care what harness you run, h
3.4K views · 16 likes
· 2 reposts · 0 replies
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Killed the GPU mid-training run. Zero steps lost.
@bnarasimha21 simulated a reclaim notice mid-run on a full-parameter Qwen3-8B fine-tune using an AMD Instinct™ MI350X spot GPU Droplet. The checkpoint (98.3 GB) hit DigitalOcean Spaces 5.4 min later. A replacement picked up at ht
4.2K views · 13 likes
· 3 reposts · 1 replies
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Most teams test pgvector on a few thousand rows, see fast results, and assume it stays that way.
But It doesn't. Latency holds flat, then spikes once your index outgrows RAM and Postgres starts reading it off disk. That jump depends on your index size, not your row count, so htt
5.9K views · 10 likes
· 5 reposts · 2 replies
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.@vercel and DigitalOcean are teaming up to bring GLM-5.3 to Vercel AI Gateway users at half the cost, for one week only.
Offer details here. 👉 https://t.co/5UpEMfajoq https://t.co/bLFwlFEH1l
4K views · 15 likes
· 2 reposts · 0 replies
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@digitalocean @AnthropicAI I noticed it, but unfortunately I am unable to use any better quality models, either from openai or claude, I was expecting to run gpt 5.6-luna for fast response. But I am being gated. say how to enable it. Or how much balance I need to keep to run it.
6 views · 0 likes
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50% off GLM-5.3, one week only, running on DigitalOcean. If you're building on @Vercel AI Gateway, this is the week to try the latest model from https://t.co/QqSb0SBkmS. 👇
7.3K views · 18 likes
· 3 reposts · 4 replies
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Our developer advocate @amit planted a bug in a Flask app, deleted a todo, and walked away.
Managed Agents caught the crash, found the bug, wrote a test, fixed it, and opened a PR before he was back with a coffee.
Now in private preview. 🔗 https://t.co/jdtHhelpIK https://t.co/
6.1K views · 13 likes
· 3 reposts · 1 replies
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GLM 5.3 via @DigitalOcean is 50% off on AI Gateway through Sept 8:
𝚖𝚘𝚍𝚎𝚕: '𝚣𝚊𝚒/𝚐𝚕𝚖-𝟻.𝟹-𝚙𝚛𝚘𝚖𝚘-𝟻𝟶'
https://t.co/JQiTdmmESK
11.8K views · 45 likes
· 2 reposts · 5 replies
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@digitalocean @AnthropicAI 75% cache cost cut. Claude Fable 5.1 now live on DigitalOcean. Nice work, Anthropic AI!
15 views · 0 likes
· 0 reposts · 0 replies
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Claude Fable 5.1 from @AnthropicAI is now available on DigitalOcean Inference Engine, day zero. ⚡️ https://t.co/LQ9JWhyWll
Cache-reads now cost 75% less, cutting the cost of long-running agents that lean on repeated context. Access it via Serverless Inference, Inference Router,
61.6K views · 12 likes
· 1 reposts · 3 replies
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Your coding agent shouldn't die when you close your laptop.
That's why we built Managed Agents Runtime Services (M.A.R.S.). One doctl command sandboxes Claude Code, Codex, OpenCode, or your own agent. Pause & resume with state intact. Checkpoint, then fork into parallel runs. ht
7.6K views · 41 likes
· 1 reposts · 9 replies
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Frente a cuentas del mismo tamaño
19 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas7 611esta cuenta5 983mediana de 100K–1M
Alcance, %3.37%esta cuenta1.49%mediana de 100K–1M
Interacción, %0.39%esta cuenta0.93%mediana de 100K–1M
| Métrica | Esta cuenta | Mediana de 100K–1M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 7 611 | 5 983 | 1.27× |
| Alcance (visualizaciones ÷ seguidores) | 3.37% | 1.49% | 2.26× |
| Tasa de interacción | 0.39% | 0.93% | 0.42× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
7.3K2 Sep
63 Sep
4K
5.9K
4.2K4 Sep
3.4K
3.6M22 Sep
31K
21.1K
16K
13.5K
12.1K
11.7K
6.1K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.34%2 Sep
0.00%3 Sep
0.42%
0.29%
0.40%4 Sep
0.56%
0.15%22 Sep
0.38%
0.39%
0.39%
0.48%
0.32%
0.46%
0.44%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes34.1%3 355 in total
Reposts21.3%2 091 in total
Replies3.2%313 in total
Quotes2.8%274 in total
Bookmarks38.6%3 796 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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