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

Últimas publicaciones

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 →

Frente a cuentas del mismo tamaño

6 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a más gente que cuentas de su tamaño.

Visualizaciones medianas11 292esta cuenta924mediana de 10K–100K

Alcance, %36.95%esta cuenta3.62%mediana de 10K–100K

Interacción, %1.34%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	11 292	924	12.2×
Alcance (visualizaciones ÷ seguidores)	36.95%	3.62%	10.2×
Tasa de interacción	1.34%	1.52%	0.88×

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

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.