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
Últimas publicaciones
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@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
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🔗 GitHub: https://t.co/OyanBdMntA
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✉️ 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
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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
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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
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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
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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
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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
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@DanKornas Really appreciate the honest look. Love your work.
18 views · 2 likes
· 0 reposts · 0 replies
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🔗 GitHub: https://t.co/51vTPJ3siU
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✉️ 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
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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
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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
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Frente a cuentas del mismo tamaño
11 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.
Visualizaciones medianas580esta cuenta924mediana de 10K–100K
Alcance, %0.58%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.94%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 580 | 924 | 0.63× |
| Alcance (visualizaciones ÷ seguidores) | 0.58% | 3.62% | 0.16× |
| Tasa de interacción | 0.94% | 1.52% | 0.62× |
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
11.2K23 Aug
2.8K5 Sep
241
18
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.
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