Leonard Rodman ✓

@RodmanAi · Chicago, IL · joined 04 Jul 2023

Agentic AI builder. Loud opinions. Useful tools. 60k on LinkedIn • 42k on YouTube • Collabs promotions@rodman.ai

34 529Followers

861Following

18 871Posts total

34.1KViews on collected posts

Ultimi post

Leonard Rodman ✓@RodmanAi8 Sep

@RodmanAi This is a useful mix of practical tools and educational projects. Before adopting one in a real workflow, I’d also check its maintenance activity, documentation quality, and fit with the existing stack. 19 views · 0 likes · 0 reposts · 0 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

@RodmanAi The eval loop is the easy part once the agent has Slack. The hard part is what it’s allowed to touch while those 340 cases run — and who can kill it if it starts “helping” outside the suite. 3 views · 0 likes · 0 reposts · 0 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

@RodmanAi i star these threads and open maybe one repo a month. archify is the one i'd actually run though, since most of my week now goes into reading what an agent already did rather than prompting it. turning what an agent already did into a readable run recap, that's Sundial 65 views · 0 likes · 0 reposts · 0 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

Try it out at https://t.co/EAIEDcR5nK 237 views · 2 likes · 0 reposts · 0 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

I build agentic systems for a living. So I am the last person who should be impressed by one. Three weeks ago I added an AI employee to a Slack channel and gave him one job: run the eval suite against the new model and tell me where it actually loses. Ran all 340 cases, diffed h

7.8K views · 75 likes · 18 reposts · 25 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

@RodmanAi Some of these are seriously impressive for open-source projects. 66 views · 0 likes · 0 reposts · 0 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

10 GITHUB REPOSITORIES THAT FEEL ALMOST ILLEGAL TO BE FREE And yes, they're all open source. 1. Archify Turn codebases into architecture, workflow, sequence and data-flow diagrams with AI. https://t.co/dFNtTI1Uyc 2. OpenMAIC A multi-agent environment where AI agents can htt

13.9K views · 280 likes · 49 reposts · 14 replies Open on X →

Leonard Rodman ✓@RodmanAi7 Sep

10 TRENDING AI TOOLS ON GITHUB THIS WEEK Some really interesting projects are getting attention right now. 1. archify Turn text instructions into clean, animated diagrams and process flows. https://t.co/dFNtTI1Uyc 2. OpenMAIC A multi-AI learning space where different AIs can

3.7K views · 74 likes · 23 reposts · 16 replies Open on X →

Leonard Rodman ✓@RodmanAi6 Sep

THIS IS INSANE. 🤯 Someone built a bot whose only job is to build other specialist bots. Instead of copying an existing bot and changing its personality, it actually creates each one from scratch: → Interviews you about the job → Drafts the SOUL for your approval → https://t.co

0:02

1.9K views · 27 likes · 8 reposts · 4 replies Open on X →

Leonard Rodman ✓@RodmanAi6 Sep

10 AI GITHUB REPOS THAT AREN’T THE USUAL PROJECTS EVERYONE POSTS I went looking for AI repos that are flying under the radar. Found some seriously interesting ones: 1. BrowserCode A coding agent that can drive a real browser through CDP. https://t.co/3B9lft9xGm 2. Agent http

6.4K views · 114 likes · 25 reposts · 18 replies Open on X →

Rispetto ad account della stessa dimensione

10 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. esattamente sulla mediana della sua fascia di follower.

Visualizzazioni mediane1 064questo account956mediana per 10K–100K

Copertura, %3.08%questo account3.52%mediana per 10K–100K

Interazione, %1.20%questo account1.57%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	1 064	956	1.11×
Copertura (visualizzazioni ÷ follower)	3.08%	3.52%	0.88×
Tasso di interazione	1.20%	1.57%	0.76×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

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

6.4K6 Sep

1.9K

3.7K7 Sep

13.9K

7.8K

237

198 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

2.46%6 Sep

2.12%

3.09%7 Sep

2.47%

0.00%

1.56%

0.84%

0.00%

0.00%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.57%.

What the audience does

Likes40.0%572 in total

Reposts8.6%123 in total

Replies5.4%77 in total

Quotes0.5%7 in total

Bookmarks45.5%651 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.

Ultimi post

Rispetto ad account della stessa dimensione

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Account simili