Dust ✓

@DustHQ · joined 08 Sep 2022

Transform how work gets done with custom AI agents, connected to your company knowledge and tools, powered by the best AI models. Just use Dust.

12 529Followers

17Following

564Posts total

2.3MViews on collected posts

Latest posts

Dust ✓@DustHQ16 Sep

@DustHQ @duncid This is a strong case for prototypes as evidence, not just demos. Seeing real teams make decisions around a working system should surface constraints and workflow details that polished mockups routinely hide. 3 views · 0 likes · 0 reposts · 0 replies Open on X →

Dust ✓@DustHQ9 Sep

@DustHQ @damndanielliem @DecagonAI terminal agents hit different 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Dust ✓@DustHQ23 Jul

@DustHQ @damndanielliem Fun one to put together. Thanks for having us 🤝 1.1K views · 2 likes · 0 reposts · 0 replies Open on X →

Dust ✓@DustHQ22 Jul

We're glad to have worked with @damndanielliem from @DecagonAI's Founder's Office to capture how they're rewiring the way their organization works with AI: what they built, what stopped scaling, and what zero-friction adoption actually looks like from the inside. https://t.co/N92

2.2M views · 63 likes · 3 reposts · 5 replies Open on X →

Dust ✓@DustHQ30 Apr

@DustHQ @duncid Hello, I am the owner of the domain (https://t.co/1SCpzbQ0fE) It is for sale on the GoDaddy platform Please let me know if you are interested in purchasing it. 44 views · 0 likes · 0 reposts · 0 replies Open on X →

Dust ✓@DustHQ26 Apr

@DustHQ @duncid That would really be very helpful for me!!! 58 views · 0 likes · 0 reposts · 0 replies Open on X →

Dust ✓@DustHQ18 Feb

What should designers produce to help teams decide faster? We've been running an experiment at Dust. Field report by our very own @duncid: https://t.co/exY8dMJr8e https://t.co/eLiveoex4X

4.4K views · 20 likes · 1 reposts · 6 replies Open on X →

Dust ✓@DustHQ13 Feb

Engineering Night: London Edition 🇬🇧 Mondays just got better. We're bringing Engineering Night to the UK on Feb 23, and yes, it's on a Monday. 👀 We may be biased, but spending your Monday night with cool people, learning how to ship better agents, and eating pizza sounds like h

3K views · 10 likes · 5 reposts · 1 replies Open on X →

Dust ✓@DustHQ4 Feb

latest newsletter issue "ANOTHER ONE BITES" has been published -- incl. - more info on our upcoming ambassador program - events to come this week (anyone in SF on thursday evening for a meetup with Anthropic on 'Skills' for instance -- or for the Claude Code meetup in Paris...) -

2.3K views · 6 likes · 1 reposts · 2 replies Open on X →

Dust ✓@DustHQ27 Jan

🔧 Your agent fleet just got an upgrade. Today we’re launching Skills. Picture this: 1. Your sales ops specialist builds the perfect HubSpot workflow 2. Three agents use it 3. Twenty-seven agents don't even know it exists 4. Expertise doesn't spread, agents stay siloed Skills h

0:55

2K views · 12 likes · 7 reposts · 1 replies Open on X →

Against accounts of the same size

4 posts from the last 90 days, next to the 10K–100K follower range. right around the median for its follower range.

Median views556this account924median for 10K–100K

Reach, %4.43%this account3.62%median for 10K–100K

Engagement, %0.00%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	556	924	0.60×
Reach (views ÷ followers)	4.43%	3.62%	1.22×
Engagement rate	0.00%	1.52%	0.00×

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

2K27 Jan

2.3K4 Feb

3K13 Feb

4.4K18 Feb

5826 Apr

4430 Apr

2.2M22 Jul

1.1K23 Jul

29 Sep

316 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.00%27 Jan

0.38%4 Feb

0.54%13 Feb

0.61%18 Feb

0.00%26 Apr

0.00%30 Apr

0.00%22 Jul

0.18%23 Jul

0.00%9 Sep

0.00%16 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes66.5%113 in total

Reposts10.0%17 in total

Replies8.8%15 in total

Bookmarks14.7%25 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.