dotta 📎 ✓
@dotta · quantum downs ⇒ · joined 08 Sep 2017
CEO Paperclip @papercliping, Agent Maximizer, Forgotten Runes, --dangerously-skip-permissions
61 594Followers
4 456Following
11 325Posts total
2.9MViews on collected posts
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Agree but the winner will also have to answer
1. Are the skills safe?
2. Are the outputs any good?
Because it's easy to share a text file but hard to know if it will help you
6.1K views · 25 likes
· 1 reposts · 12 replies
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New account: @PaperclipShips tweets out what we commit every day
We've also started beta and nightly releases so you don't have to wait for us to cut a stable if you want the latest stuff 📎
4.8K views · 37 likes
· 3 reposts · 9 replies
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4/9 🚦 New release channels
Added beta and nightly release lanes so you can opt into early builds with real safety gates — nightly builds must pass smoke tests, and betas need human sign-off plus a "soak" period before anything gets promoted to stable.
4K views · 2 likes
· 0 reposts · 1 replies
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5. Smarter models can help. But @dotta's line stuck with me: if you don't trust an agent with your email, that's an infrastructure problem, not a model problem.
4.4K views · 4 likes
· 0 reposts · 2 replies
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Increasingly convinced writing evals is a core competency for working with agents
We're used to computers being binary pass/fail on their behaviors but LLMs are more like humans and probabilistic
There's a missing tool for making evals understandable for humans
10.5K views · 117 likes
· 5 reposts · 17 replies
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@dotta Good work! Testing now. What a great start! We may be able to offer some more points for ya soon. Thank you!
4.5K views · 58 likes
· 0 reposts · 1 replies
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You should stop reading and try it:
npx paperclipai onboard
The app will launch, you'll setup your CEO, and he'll ask you to approve hiring a Coder. It's fun. Try it.
https://t.co/kMGIWGGdbO
51.6K views · 329 likes
· 10 reposts · 20 replies
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Why is Paperclip special?
- Agent tasks are atomically coordinated
- Automatic Context points toward a goal - so your agents always know why
- Any agent, any runtime - coordination not lock-in
It's high taste - it feels good to use https://t.co/6BvZXDRTHC
53.2K views · 151 likes
· 4 reposts · 2 replies
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Paperclip is right for you if you:
* have 20 Claude Code tabs open and can't remember who is doing what
* use different types of agents (Codex, OpenClaw, ...)
* want agents working for you 24/7 (with auditable work/costs)
* want an autonomous business (not manage pull requests)
79.1K views · 367 likes
· 7 reposts · 7 replies
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If it feels like you're falling behind
(because everyone else is managing teams of agents and you're still managing shell scripts)
Paperclip is what you need https://t.co/N6bMwz5IJH
57K views · 177 likes
· 4 reposts · 4 replies
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We just open-sourced Paperclip: the orchestration layer for zero-human companies
It's everything you need to run an autonomous business: org charts, goal alignment, task ownership, budgets, agent templates
Just run `npx paperclipai onboard`
https://t.co/wuDdEmrSMx
More 👇 http
2.6M views · 8.3K likes
· 711 reposts · 448 replies
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0:27
Face aux comptes de taille comparable
6 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.
Vues médianes4 824ce compte1 084médiane pour 10K–100K
Portée, %7.83%ce compte3.91%médiane pour 10K–100K
Engagement, %0.77%ce compte1.69%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 4 824 | 1 084 | 4.45× |
| Portée (vues ÷ abonnés) | 7.83% | 3.91% | 2.00× |
| Taux d'engagement | 0.77% | 1.69% | 0.45× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
2.6M4 Mar
57K
79.1K
53.2K
51.6K
4.5K
10.5K8 Aug
4.4K9 Aug
4.8K10 Aug
4K12 Aug
4.8K13 Aug
6.1K24 Aug
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.36%4 Mar
0.32%
0.48%
0.30%
0.70%
1.31%
1.33%8 Aug
0.14%9 Aug
0.91%10 Aug
0.07%12 Aug
1.02%13 Aug
0.62%24 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.69%.
What the audience does
Likes30.5%9 598 in total
Reposts2.4%746 in total
Replies1.7%528 in total
Bookmarks65.4%20 568 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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