Michel Lind :fedora: :debian: avatar

Michel Lind :fedora: :debian: Mastodon stats

Mastodon

michelin@hachyderm.io

Profile data checked Aug 6, 2026, 12:51 PM

Report generated Oct 5, 2026, 2:14 AM · Methodology

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Followers

822

About this metric

Public follower count at check time.

Following

1,631

About this metric

Public following count at check time.

Posts

3,558

About this metric

Public post count reported by the network.

Typical post

3.5

About this metric

Median interactions across 40 sampled original posts.

Category scores

Out of 100

Community response

Limited

41/100

Topic consistency

Limited

48/100

Posting rhythm

Limited

56/100

Bio clarity

Strong

82/100

Federated discovery

Strong

96/100

Post context

Strong

99/100

Profile basics

Strong

100/100

Media accessibility

Strong

100/100

Verified identity

Strong

100/100

Peer position

98 Mastodon profiles · Under 10K · updated Oct 6, 26

Public engagement

80th percentile

80/100

Audit score

65th percentile

65/100

Bio and content

12 of 40 posts analyzed

Michel Lind is a production engineer working on Linux userspace, a Fedora contributor, and a Debian maintainer, who also identifies as an AI skeptic and.

Audience

Linux users, developers, and open-source enthusiasts

Positioning

Anti-AI, pro-open-source

Bio/content match

Mixed

Michel Lind expresses skepticism towards AI and LLMs, but still works on AI-related projects due to job requirements.

Public interactions on posts published in the last 30 days

11 posts in window

Reply share

8%

Amplification

32%

Media descriptions

100%

Verified links

1

Profile directory

Listed

Network signals

Response consistency

Spiky

32%

Sample: Median 3.5 / average 11

Hashtag coverage

Consistent

75%

Sample: 30 of 40 posts

Verified links

Verified

1

Sample: 4 public profile fields

Profile discovery

Listed

On

Sample: Mastodon profile directory

Category details

Community response

41/100

Typical public response is below the network baseline, sparse, or concentrated in a few posts.

  • 37 of 40 posts received interactions
  • 3.5 median interactions per post
  • 0.43% median interactions per follower

Topic consistency

48/100

Michel Lind expresses skepticism towards AI and LLMs, but still works on AI-related projects due to job requirements.

  • Meta production engineer working on # Linux userspace, longtime # Fedora contributor, # Debian maintainer.
  • I now just quit optional meetings when someone does that. Phrases like "vibe-coded dream". Someone's proud of ... hallucinations ... sigh. # NoAI

Posting rhythm

56/100

The captured sample is stale or too irregular to show a reliable publishing rhythm.

  • Newest visible post is 60 days old
  • 11 posts published in the 30-day window
  • 2.6 visible posts per week

Bio clarity

82/100

Michel Lind is a production engineer working on Linux userspace, a Fedora contributor, and a Debian maintainer, who also identifies as an AI skeptic and.

  • Meta production engineer working on # Linux userspace, longtime # Fedora contributor, # Debian maintainer.
  • Artisanal coder, AI skeptic # NeoLuddite in my spare time.

Federated discovery

96/100

The account is available to Mastodon discovery surfaces and uses searchable post signals.

  • Profile directory enabled
  • Public indexing enabled
  • 75% of sampled posts used hashtags

Post context

99/100

Sampled original posts consistently provide visible text context.

  • 40 of 40 posts included text
  • 39 of 40 posts included at least 60 characters

Profile basics

100/100

The public profile has enough identity detail to evaluate quickly.

  • Bio found
  • Avatar found
  • 4 public profile fields

Media accessibility

100/100

Every sampled media attachment had a description.

  • 3 of 3 attachments described
  • 100% media-description coverage

Verified identity

100/100

The profile uses Mastodon fields and verified links to establish identity.

  • 1 verified links
  • 4 public profile fields
  • Public destination link found

Profile roast

michelin@hachyderm.io built a crowd and trained it to keep scrolling.

michelin@hachyderm.io · C · 71/100

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