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Bartosz

Bartosz

🔄 Data last refreshed 4 days ago
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Followers
47
Account age
3 yrs
🧰 Free analysis for Bartosz
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Post engagement

2
Avg engagement / post
4.3%
Engagement vs followers
Mar 2023
On Mastodon since

🔥 Top post: Last week, I attended the Future of software development unconfe · 3 likes + reposts

📊 Activity & format

Posting cadence
0.57 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
1.1×
Follows 41 back. A more reciprocal / networked account.
🔥 Top post Last week, I attended the Future of software development unconference hosted by @thoughtworks Reflecting back on the conversations, I wrote up my thoughts on themes that are likely to be discussed by many teams moving forward: - software factories and where human judgement com… ★ 3
Sol escaped benchmark environment using a 0day in a self-hosted artifact repo, and using Internet access decided to find ways to access HF in search for datasets that would help solve the exercise. Quite fascinating incidents we get these … ★ 1 This #codex issue is quite the odyssey... Maybe now that 5.6 is released it will get more attention. https://github.com/openai/codex/issues/30364 #openai LD got some Oracle vibes here. Pricing per CPU core or connection is never great for the user. The ecosystem around Agentic Engineering is evolving in parallel with an accelerated race to ship new and more capable models while dealing with GPU capacity constraints. This mix of challenges in processes, tools, and infrastructure build… ★ 2 I wrote down a few thoughts on teaching agentic engineering, how to meet users where they are on their learning journey, and how to scale teaching beyond individual coaching. Happy to hear what approaches worked for you and where you see f… ★ 1 GitHub is changing its data usage policy to opt-out required... "From April 24 onward, interaction data—specifically inputs, outputs, code snippets, and associated context—from Copilot Free, Pro, and Pro+ users will be used to train and im… pi-autoresearch makes it very easy to spin up optimization loops. The #llm will come up with hypotheses to try, apply changes, and run a verification routine to check for improvement against a defined metric. All changes are tracked in git… ★ 1 cupcake is a policy enforcement layer for AI coding agents, allowing for local policy evaluation. It integrates with the tools via hooks and supports different activity events. I took it for a spin to check if I can block prompts that woul… ★ 2 I'm curious what's wrong with GH UX or tools. We get ~1 PR per week or two to zalando/tech-radar where folks open PRs against the fork instead of staying in their own land. Happened pre-LLM as well. Some are closed immediately, others not.… Hunter, Skeptic, Arbiter trio as an example of debate-style prompting for scanning the codebase for vulnerability candidates: https://ocytko.net/posts/hunter-skeptic-arbiter-prompting/ It's fun reading the debate content, though the hard w… #MCP sampling enables the server to make use of the #LLM that has recommended calling it. The protocol description has a safety warning, recommending human in the loop. Fun things can happen when this is ignored... Here is a simple example… ★ 1

🐘 Community & instance

Home server
hachyderm.io
A tech & engineering server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Mar 2023
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2023 — 3 years ago.
👁️Averages 2 views per post.
📤Posts about 0.6× per week.

🕵️ Fake follower check

Estimated
83/100
Excellent Credibility score
99%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 99% real, active audience · Low fake-follower risk.
  • Strong engagement (~4.3% of followers engage each post) — an active, real audience.
  • Verified account.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Principal Engineer. #leadership

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