Dan Kornas ✓

@DanKornas · Collaborations → · joined 20 Jun 2021

AI/ML Engineer AI Tools Ranked: https://t.co/8ezZSwN2WP Newsletter: https://t.co/NMMvPSmzua Dans AI Lab: https://t.co/uIBlLyXFKu

99 241Followers

454Following

17 449Posts total

24.6KViews on collected posts

Postingan terbaru

Dan Kornas ✓@DanKornas21 Sep

@DanKornas I tried paperclip. Most of the tasks are fixing paperclip it self rather that’s what I want. Hope raven can be universal usage rather than just for code 207 views · 1 likes · 0 reposts · 0 replies Open on X →

Dan Kornas ✓@DanKornas21 Sep

🔗 GitHub: https://t.co/OyanBdMntA --- ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): https://t.co/zpXbSNVTis 580 views · 5 likes · 1 reposts · 0 replies Open on X →

Dan Kornas ✓@DanKornas21 Sep

Running several agents gets messy fast. Raven is built to coordinate them. Raven is a pre-alpha multi-agent orchestration repo for builders who want to coordinate specialized agents from one place. It helps you delegate work across research, coding, design, and unattended https

7.2K views · 39 likes · 11 reposts · 6 replies Open on X →

Dan Kornas ✓@DanKornas17 Sep

Agent research shouldn’t require a different SDK for every source. ketch is a stateless command-line tool for web search, code search, library docs, and scraping, built for humans and AI agents. It helps you pull research into one terminal workflow by putting search, code, http

303 views · 0 likes · 0 reposts · 1 replies Open on X →

Dan Kornas ✓@DanKornas17 Sep

UI ideas get lost between a sketch and a coding prompt. M3E Canvas is a browser-based design tool for builders sketching Material 3 Expressive app screens before handing them to an AI coding tool. It helps you turn a multi-screen UI idea into a buildable brief by letting you ht

462 views · 3 likes · 0 reposts · 4 replies Open on X →

Dan Kornas ✓@DanKornas16 Sep

Rebuilding your agentic dev setup on every Mac is a tax. HAL 9000 is an opinionated AI coding agent and development-environment automation repo for macOS builders. It helps you set up a new development machine from one bootstrap command, covering agent tooling, language https:/

778 views · 6 likes · 1 reposts · 5 replies Open on X →

Dan Kornas ✓@DanKornas16 Sep

AI agents can write code. Keeping the work disciplined is harder. bigpowers is a set of agent skills and a prescriptive, vertical-slice methodology for solo developers building software with AI coding tools. It helps you move from discovery to release with phase-specific https:

850 views · 3 likes · 1 reposts · 3 replies Open on X →

Dan Kornas ✓@DanKornas5 Sep

@DanKornas Really appreciate the honest look. Love your work. 18 views · 2 likes · 0 reposts · 0 replies Open on X →

Dan Kornas ✓@DanKornas5 Sep

🔗 GitHub: https://t.co/51vTPJ3siU --- ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): https://t.co/zpXbSNVTis 241 views · 5 likes · 2 reposts · 0 replies Open on X →

Dan Kornas ✓@DanKornas5 Sep

Your coding agent can write code fast. Giving it a repeatable ship process is the hard part. Suede Creator Skills is an open-source collection of agent skills for builders using Claude Code, Codex, or other skills-compatible agents. It helps you add reusable workflows to an htt

2.8K views · 14 likes · 6 reposts · 5 replies Open on X →

Dan Kornas ✓@DanKornas23 Aug

Aaaaaaaaaand we're live! Introducing https://t.co/kVy5lJCQb7 AI tools ranked by likes and views no bidding, no signup, more practical submit your AI tools and get ranked 👇 https://t.co/kl0rjGXsOi

11.2K views · 23 likes · 4 reposts · 5 replies Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan580akun ini924median untuk 10K–100K

Jangkauan, %0.58%akun ini3.62%median untuk 10K–100K

Interaksi, %0.94%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	580	924	0.63×
Jangkauan (tayangan ÷ pengikut)	0.58%	3.62%	0.16×
Tingkat interaksi	0.94%	1.52%	0.62×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

11.2K23 Aug

2.8K5 Sep

241

85016 Sep

778

46217 Sep

303

7.2K21 Sep

580

207

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%23 Aug

0.94%5 Sep

2.90%

11.11%

0.82%16 Sep

1.67%

1.73%17 Sep

0.33%

0.82%21 Sep

1.03%

0.48%

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

What the audience does

Likes39.0%101 in total

Reposts10.0%26 in total

Replies11.2%29 in total

Quotes2.3%6 in total

Bookmarks37.5%97 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Akun serupa