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sarahghp

sarahghp

Mastodon @sarahghp@post.lurk.org
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📣Sponsored postOne disclosed post (toot) with your link and message. $12→ 🧵Sponsored threadA multi-post explainer or story — the fediverse rewards dept… $30→ 📦Product seeding / honest reviewSend me your product — I post a disclosed, honest take. Auth… $16→ 📌Pinned sponsored postA disclosed post pinned to the top of my profile for the mon… $36/mo→ 🔗Profile link (bio field)Your link in one of my profile metadata fields for the month… $18/mo→ 🔁Boost packageI boost (repost) your account's toots through the month — di… $24/mo→ 🏛️Instance / community sponsorshipSponsor the server I run — a sponsor line in the About/rules… $30/mo→ 🤝Mutual boost collabWe boost each other across instances — a value swap between … Swap→ 🎬UGC HireBranded content for your own channels & ads from $50→ 🎙️Podcast guest spotInvite sarahghp onto your podcast (~45 min, remote) $26→

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Followers
492
Account age
5 yrs
🧰 Free analysis for sarahghp
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

things that would send the frontend mind of 2015 into a coma3 views things that would send the frontend mind of 2015 into a coma

📊 Post engagement

3
Avg engagement / post
0.6%
Engagement vs followers
Dec 2020
On Mastodon since

🔥 Top post: there are so many reasons to oppose algorthmic decision-making ( · 4 likes + reposts

📊 Activity & format

Posting cadence
0.76 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 10 text · 2 image · 0 video.
Follower / following
2.4×
Follows 205 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post there are so many reasons to oppose algorthmic decision-making ("AI"), from the environmental to the cognitive, but this is why my fundamental objection will always be the inherent violence of classification, and the way that it is imposed on the everyday person to support "the … ★ 4
very unclear to me why DB has decided to do "construction" on every station at once, said construction consisting of throwing out all the useful shops and doing fuckall else but I'm definitely not enjoying it ★ 1 RE: https://post.lurk.org/@ojack/116821078422279159 so good! ★ 1 the way berliners talk about the u8, the L train would destroy them ★ 2 means testing plus algorithmic formulas are two terrible things that depend on one another. the same effects, people paying for social goods based on what they can afford, could be accomplished with less suffering and more fairness by maki… ★ 2 the trees have left me a state: I need someone to pull all the snot out of my nose with a little rubber sphere like a toddler ★ 3 the best thing about speaking German is when you want to make "but" dramatic: AH-BER 10/10, no notes, topp ★ 3 things that would send the frontend mind of 2015 into a coma ★ 3 RE: https://neuromatch.social/@jonny/116328694967192899 this whole thread is great, but in particular this dicussion of llm code gambling is truly insightful ★ 3 imagine being out there arguing that it's FIne Actually :tm: not to disclose you are using an LLM when people specifically ask truly this should be 2 or 3 separate trains, right? Are other people getting the weird, probably astroturfed "hating AI is for white people" propaganda? ★ 3

🐘 Community & instance

Home server
post.lurk.org
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Dec 2020
An OG fediverse account from Mastodon's early years — a long, established presence.

💡 Facts

🗓️Joined Mastodon in 2020 — 5 years ago.
👁️Averages 3 views per post.
📤Posts about 0.8× per week.

🕵️ Fake follower check

Estimated
66/100
Good Credibility score
89%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 89% real, active audience · Low fake-follower risk.
  • Engagement (~0.6% of followers engage each post) is around typical for Mastodon.
  • Established account (5+ years old).

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

💚 Brand affinity

Estimated

Brands sarahghp's audience is most likely to respond to — from detected sponsorships in this niche.

The Guardian

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Johannes Johannes 51% BellingenNSW BellingenNSW 36% Philip Weiss (Phil in SF) Philip Weiss (Phil in SF) 17% Serge Abiteboul Serge Abiteboul 16% Stybba3019 Stybba3019 15% Graham Lester Graham Lester 10%

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Philip Weiss (Phil in SF)
Philip Weiss (Phil in SF) ✓
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Stybba3019
@stybba3019@mstdn.social
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@sergeabiteboul@piaille.fr
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