Blake Thompson ✓

@moonlitebyte · Russia · joined 18 Jul 2025

Exploring the future of AI 🤖 AI Tools • Automation • Generative AI Sharing the latest innovations daily | DM for collaboration: blakethomson572@gmail.com

30 561Followers

846Following

3 545Posts total

79.3KViews on collected posts

โพสต์ล่าสุด

Blake Thompson ✓@moonlitebyte4 Sep

Grandma entered the arena and changed everything. https://t.co/CZzchGzsni 10.4K views · 102 likes · 97 reposts · 0 replies Open on X →

Blake Thompson ✓@moonlitebyte3 Sep

Voice AI is moving beyond sounding natural — personality and context are becoming just as important. Inworld TTS-2 gives creators more control over how AI voices respond, making conversations feel more dynamic and human. Seeing it climb back to the top of the Artificial 8.9K views · 86 likes · 84 reposts · 0 replies Open on X →

Blake Thompson ✓@moonlitebyte29 Aug

Building agent-powered products without spending weeks on harness engineering sounds like a huge unlock. The “one API, multiple agent backends” approach is especially interesting. 12.2K views · 58 likes · 60 reposts · 3 replies Open on X →

Blake Thompson ✓@moonlitebyte29 Aug

Start at $0 with no agent harness engineering costs. No more harness runtime work: sandboxes, sessions, tools, context, files, artifacts, traces, and failure recovery. Paste AGENTS.md into the coding agent you already use. Describe the agent feature you want, and it will build 4.3K views · 51 likes · 15 reposts · 5 replies Open on X →

Blake Thompson ✓@moonlitebyte28 Aug

That video getting past 10M views definitely gives the tutorial some credibility. Curious to see how much of it was done through FlovaAI. 17.3K views · 56 likes · 55 reposts · 0 replies Open on X →

Blake Thompson ✓@moonlitebyte24 Aug

Running a coffee business means making decisions in a world that constantly changes. Inventory shifts. Customers change. Strategies need updates. @dotsstudioai’s dots3-note preview is designed for these long-term challenges. Built with 280B parameters, 16B active parameters, h 26.3K views · 66 likes · 54 reposts · 13 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน11 292บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %36.95%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.34%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	11 292	924	12.2×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	36.95%	3.62%	10.2×
อัตราการมีส่วนร่วม	1.34%	1.52%	0.88×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

26.3K24 Aug

17.3K28 Aug

4.3K29 Aug

12.2K

8.9K3 Sep

10.4K4 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.51%24 Aug

0.64%28 Aug

1.69%29 Aug

0.99%

1.92%3 Sep

1.91%4 Sep

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

What the audience does

Likes51.5%419 in total

Reposts44.8%365 in total

Replies2.6%21 in total

Quotes0.1%1 in total

Bookmarks1.0%8 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.