Katherine ✓

@supressedvoic · New York,USA · joined 25 Nov 2014

Turning AI into practical growth. Sharing the best AI tools, marketing strategies & business insights. ✉️ DM for collaboration- digibuddy45@gmail.com

85 540Followers

1 117Following

49 448Posts total

176KViews on collected posts

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 views131this account1 195median for 10K–100K

Reach, %0.15%this account3.80%median for 10K–100K

Engagement, %0.76%this account2.00%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	131	1 195	0.11×
Reach (views ÷ followers)	0.15%	3.80%	0.04×
Engagement rate	0.76%	2.00%	0.38×

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

41.8K2 Aug

52.1K1 Sep

277

103

84

68

58

128

131

19

35.9K2 Sep

3.7K

41.5K3 Sep

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

0.32%2 Aug

0.27%1 Sep

2.17%

3.88%

2.38%

2.94%

3.45%

1.56%

0.76%

0.00%

0.38%2 Sep

0.70%

0.31%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 2.00%.

What the audience does

Likes61.2%425 in total

Reposts13.4%93 in total

Replies10.4%72 in total

Bookmarks15.0%104 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.

Latest posts

one person can now think like a team. Sabrina took 7 marketing skills from a system that had already driven 41M+ views and turned them into a workflow of 4 specialist Grok Bots. strategy. writing. quality control. publishing. but the clever part is that they don’t operate http 41.5K views · 96 likes · 21 reposts · 12 replies 03 Sep 2026 Apple turned off your iPhone's best camera features. On purpose. You paid $1,200 for a camera you've never actually used. 6 settings are off by default. Here's how to turn them on: 3.7K views · 22 likes · 2 reposts · 2 replies 02 Sep 2026 The interesting part of building a one-person company with AI isn’t having 50 Bots. it’s knowing when to add the next one. Sabrina’s setup starts with 1 clear job, then adds specialists only when the workflow actually needs them. Content Lead → Writer → Reviewer → https://t.co 35.9K views · 99 likes · 23 reposts · 16 replies 02 Sep 2026 @supressedvoic @dotsstudioai The Reason → Act → Adapt loop is fascinating 19 views · 0 likes · 0 reposts · 0 replies 01 Sep 2026 The bigger shift I'm watching: AI moving from “give me an answer” to “keep working until the job is done.” Reason → Act → Evaluate → Learn → Adapt. That’s the direction dots-3 note preview is exploring. Tech blog: https://t.co/GvrwxTmdr0 API: https://t.co/3KpWlsuPwL 131 views · 1 likes · 0 reposts · 0 replies 01 Sep 2026 The demos make this idea easier to visualize. ▪️ Wedding coordination ▪️ Coffee e-commerce operations ▪️End-to-end travel concierge None of these are “answer once and you're done” tasks. They require context, multiple actions, changing conditions, and decisions along the way. 128 views · 1 likes · 0 reposts · 1 replies 01 Sep 2026 And dots3-note isn't built around just one modality. It brings together: → Text → Vision → Speech → Coding → Tool calling → Result delivery The interesting part is what happens when these become one loop: Understand → Reason → Act → Observe → Adapt https://t.co/1I74xJolRT 58 views · 1 likes · 0 reposts · 1 replies 01 Sep 2026 Then there’s Test-Time Learning. ARC-AGI-3 is designed to test whether a model can actively explore an unfamiliar interactive environment, reason in real time, discover its rules, and adapt through experience. The loop looks like: Explore → form a hypothesis → test it → htt 68 views · 1 likes · 0 reposts · 1 replies 01 Sep 2026 Here's why that matters. In a knight-placement game, two branches went 64 rounds without reaching a new level. Their rewards looked almost identical. But underneath: → One branch understood the constraint → The other misunderstood the objective The Critic helped https://t.co 84 views · 1 likes · 0 reposts · 1 replies 01 Sep 2026 One interesting piece is TEMPO Recursive Self-Critique. Long-horizon tasks have a nasty problem: You may not know whether you're actually making progress until the very end. TEMPO lets the model act, inspect its own trajectory, and critique its progress while the task is still 103 views · 3 likes · 0 reposts · 1 replies 01 Sep 2026 So, what exactly is dots3-note preview? An open-weight multimodal model designed for long-horizon agency. → 280B total / 16B active → 512K context → Text + vision + audio → Tool use + coding + reasoning The goal isn't just better answers. It's better ongoing work. https://t.c 277 views · 5 likes · 0 reposts · 1 replies 01 Sep 2026 Most AI agents are good at starting a task. The harder part? Staying useful when it takes hours, changes midway, and requires learning from what just happened. That’s the problem rednote’s AI lab, dots studio @dotsstudioai, is tackling with dots3-note Preview. https://t.co/fP2 52.1K views · 96 likes · 29 reposts · 18 replies 01 Sep 2026 One thing I really appreciate about Dreamina is how affordable it makes the entire Seedance lineup. 💸 From Seedance 2.0 Mini all the way to the new Seedance 2.5, the pricing is clear and competitive so you can focus less on generation costs and more on creating. And for https:/ 41.8K views · 99 likes · 18 reposts · 18 replies 02 Aug 2026

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