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Lukas Kahwe Smith

Lukas Kahwe Smith

🔄 Data last refreshed 3 hours ago
🤝

Make a deal with Lukas Kahwe Smith

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Every booking is a normal escrow-protected deal.

Followers
528
Account age
3 yrs
🧰 Free analysis for Lukas Kahwe Smith
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

2
Avg engagement / post
0.4%
Engagement vs followers
Oct 2022
On Mastodon since

🔥 Top post: RE: https://podcasts.social/@engkiosk/116959550025005827 Seit gu · 3 likes + reposts

📊 Activity & format

Posting cadence
1.4 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
1.4×
Follows 379 back. A more reciprocal / networked account.
🔥 Top post RE: https://podcasts.social/@engkiosk/116959550025005827 Seit gut einem Jahr arbeite ich nicht mehr operativ bei Witty Works. In der Zeit konnte ich den Source Code aus der Konkursmasse rauskaufen, etwas aufbereiten und open sourcen. http://github.com/witty-works Leider ist dara… ★ 3
RE: https://mastodon.green/@lsmith/116959684550892412 Wie schon im Podcast erwähnt, inklusive Sprache ist viel facetten-reicher als “nur” das Gendern. Aber wollte eigentlich zu mindestens in einem Nebensatz die Arbeit von @inklusivum erwäh… ★ 1 Having my first truly frustrating experience with #Claude in a long time working on a #strapi app. Like usual, I created a plan. Even there it did a bad job at grasping what is already there. But then applying it repeatedly deviated from … That being said point 7. << LLM-gen-AI users should keep detailed and accurate records of their interaction and save those meta-artifacts for posterity. LLM-gen-AI systems excel at automation of users’ logs of prompts, notes, and other wri… "Recommendations When Using LLM-backed Generative AI Systems for FOSS Contributions" via #sfconservancy Seems rooted in a critical POV towards #GenAI in #OSS development but still balanced https://sfconservancy.org/llm-gen-ai/llm-backed-g… ★ 3 related to this https://feed.itsfoss.com/link/24361/17359462/doclang-new-open-document-standard-for-ai Do I know someone (or can someone connect me to someone) at @heiseonline or @golem ? I would love to discuss the idea of embedding #LinkedData in articles to better identify organizations and products discussed in news articles. Broadly r… ★ 3 So should open source projects use "prompt injection" to coerce #AI agents to behave in the interests of the open source projects? I mean beyond explaining how/when to create tickets/PRs. so for example promote the project publicly, encour… I wonder how many custom email queues have been built into apps to "solve" potential issues with email delivery thanks to #genAI coding assistants ..? rate of additions is slowing down while I work more on squashing bugs. I started with ~4k PDFs. during the initial setup I manually labeled about 150 of them and used different LLM to label the rest. I was still left with 1.5k "Pending Rev… ★ 2 so my #Nextcloud classifier only needs some last minir tweaks. #Apertus 8B was too much. responses took over an hour. with #Mistral 3B its 15-20mins. which is fine since I only have a few documents max per day. I guess if I ever need to p… ★ 1 Working on my #Nextcloud classifier project. While #Apertus 8B Q4_K_S did fit into the memory of my #pi4 8GB even overclocked to 2000Mhz it wasn't able to give me a response within 30min for my use case. Switching to #Mistral 3B Q4_K_S now… ★ 2

🐘 Community & instance

Home server
mastodon.green
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ 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
Oct 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 2 views per post.
📤Posts about 1.4× per week.

🛡️ Audience credibility

75/100
Good Credibility score
92%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 92% real, active audience · Low fake-follower risk.
  • Engagement (~0.4% of followers engage each post) is around typical for Mastodon.
  • Verified account.
  • Established account (3+ years old).

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

About

CTO and co-founder https://witty.works, pronouns: http://pronoun.is/he

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