Mary Branscombe Add us as a preferred source on Google
🔄 Data last refreshed 14 days ago
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🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
1.2K
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Mary Branscombe
📊 Post engagement
Recent posts · likes + reposts
Mar 30latest
4
Avg engagement / post
1–3
Typical post (engagement)
0.3%
Engagement vs followers
43/100
Variable reach
Nov 2022
On Mastodon since
Half of recent posts land between 1 and 3 likes + reposts (median 2) — reach is spiky, driven by the occasional post that pops.
🔥 Top post: In the end this might be about shared responsibility: npm has to · 16 likes + reposts
📊 Activity & format
Posting cadence
0.64 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
1.4×
Follows 859 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
This came out while I was on holiday; some thoughts about how operationalising agents requires a different kind of infrastructure from what you need for familiar enterprise workloads.
You need an environment that looks a bit more like ser…
When @mitchellh got enthusiastic about Buildkite and a whole group of fans agreed, my editor suggested I make it my next piece even though it's not an open source or open core project (which is my usual beat for The Stack). After all, CI/C…
I've been trying to write about how @npm is trying to protect the massive JavaScript ecosystem for a while now which was difficult in the midst of alternating attacks and registry changes (and busy maintainers/anyone at npm/GitHub having …
Securing Kubernetes is hard enough but AI workloads and especially agents make it even harder because they're unpredictable and often untrusted; I dig into how AKS and some new community projects around auth give you the tools to tackle th…
Microsoft creating its own 'thinking' frontier MAI model (and polishing up other frontier models it already has) promises hills and moats for customers on Azure and off, with less data, safety and governance risk - and maybe leaves OpenAI …
Anthropic don't want to miss out, OpenAI has been in desperate search of how to make money and become a Real Business all along and the SpaceX boondoggle is Elon capturing the markets and the SEC so no one can ever do anything about his da…
Having watched VMs go through the cycle of getting efficient and then getting protected even from admins, I've always been a bit salty about whether containers had enough isolation and it's been interesting to see projects emerge that sugg…
We used to say airily that 'every company is a technology company now' and certainly almost every product from a car to a train ticket is at least partly digital now, so it's time we made companies do the security and support for those pro…
Powerful, scalable, reliable, cost efficient – and ready to be your next AI language? I'll admit I hadn't been thinking as much about Java for writing AI systems, just the inevitable data and workflow backend, but the frameworks are there.…
I first came across Project Copacetic (#Copa for short) in @markrussinovich keynotes about Azure where they use it to patch vulns in millions of container images a month, internally and for Azure users and I thought 'doesn't everyone with…
if you're running one of the half of all Kubernetes clusters that's still running Ingress NGINX (I *really* hope that figure has changed already!) then this is the month to get off what @tabbysable memorably describes as a neverending vuln…
🐘 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.
On Mastodon since
Nov 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 4 views per post.
📤Posts about 0.6× per week.
📍Based in United Kingdom.
🕵️ Fake follower check
Estimated43/100
Fair
Credibility score
73%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 73% real, active audience · Medium fake-follower risk.
- Low engagement (~0.3% of followers engage each post) — a sign of an inflated or inactive audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
omnivorous UK tech journalist; girl with the USB earring; author of the Cassidy At Large technomysteries and some other fiction. tip jar: if you enjoy any of my articles, you can buy me a☕ at https://ko-fi.com/marybranscombe. she/her. Warning; contains opinions
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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33%
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12%
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Mary Branscombe has 1,179 followers on Mastodon.
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