Dom✓ Add us as a preferred source on Google
🔄 Data last refreshed 22 hours ago
🤝
Make a deal with Dom
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
205
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 Dom
📊 Post engagement
1
Avg engagement / post
0.5%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: Chat is awkward for small, structured requirements questions, bu · 1 likes + reposts
📊 Activity & format
Posting cadence
85.7 / week
A very active account — posts many times a day.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
0.4×
Follows 511 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
I’m considering open-sourcing Cue and Elicit if there’s interest. Cue: just-in-time skill/guide routing. Elicit: out-of-band requirements decisions. Would you use either? Reply with which one and your coding agent. That’ll help me decide…
Less process produced better outcomes in my experiments. Fewer reviews. Less over-engineering. More attention on requirements, judgement and end-to-end verification. The harness is smaller and cheaper. The agents are more effective becau…
Observability is built in with simple, parseable Markdown. verification.md records the checks performed. reviews/* holds structured code reviews. defects.md records problems found after Human Review, producing a “right first time” metric.
After experimenting with autonomous “self-improvement”, I’m against it. It led to more problems than solutions. There are enough moving pieces already.
Agents cannot edit their instructions, skills, facts or hooks. Proposed changes go in…
For planned work, the workflow is:
requirements.md → plan.md → implementation → verification.md → Human Review
Not every task needs a plan. Every task ends with evidence a human can inspect and a verification.md checklist.
Reducing agent ceremony did not mean reducing human control. I kept three hard gates:
1. Requirements are confirmed before non-trivial work
2. Every plan needs explicit approval
3. A human closes the task by reviewing the evidence
Eve…
Cue is deliberately simple:
1. Write a YAML rule matching a filename and optional file content
2. Run cue install --harness codex --config rules.yaml
3. That’s it
It also supports Claude Code or both harnesses.
Config Example: https:…
Cue.
Cue intercepts file reads, matches filename and content, then nudges the agent to load specialist guidance when it becomes relevant.
Edit a file importing SwiftUI? Read the SwiftUI guide now. Niche knowledge stays on demand, close t…
Long-running agents create another problem: instruction timing.
A skill read early may be forgotten, contradicted by later context or compacted away. Loading everything up front makes that worse.
The right context matters most when it …
I deleted aggressively.
Claude memory files fell 88%, from 220 to 26. Always-loaded harness context is down 55%. Always-loaded skill metadata is down 49%.
Active skills fell from 30 to 17.
The point was to leave more room for judgemen…
The coding agent landscape has changed drastically over the last year. The best models are exceptional instruction followers. Their judgement is better, and they persist much longer without constant steering. A lot of advice my harness e…
Cue is deliberately simple:
1. Write a YAML rule matching a filename and optional file content
2. Run cue install --harness codex --config rules.yaml
3. That’s it
It also supports Claude Code or both harnesses.
Config Example: https:…
Cue.
Cue intercepts file reads, matches filename and content, then nudges the agent to load specialist guidance when it becomes relevant.
Edit a file importing SwiftUI? Read the SwiftUI guide now. Niche knowledge stays on demand, close t…
Long-running agents create another problem: instruction timing.
A skill read early may be forgotten, contradicted by later context or compacted away. Loading everything up front makes that worse.
The right context matters most when it …
I deleted aggressively.
Claude memory files fell 88%, from 220 to 26. Always-loaded harness context is down 55%. Always-loaded skill metadata is down 49%.
Active skills fell from 30 to 17.
The point was to leave more room for judgemen…
The coding agent landscape has changed drastically over the last year. The best models are exceptional instruction followers. Their judgement is better, and they persist much longer without constant steering. A lot of advice my harness e…
🐘 Community & instance
Home server
iosdev.space
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
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 1 views per post.
📤Posts about 85.7× per week.
📍Based in Canada.
🕵️ Fake follower check
Estimated75/100
Good
Credibility score
92%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 92% real, active audience · Low fake-follower risk.
- Engagement (~0.5% 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
App Store featured developer . Founder of @pixelfolio.app – Welsh, living in Canada 🏴🇨🇦
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
A girl and her koto 🇨🇦
32%
準特急は千歳烏山を通過せよ
17%
onterof
17%
Kai Kotzian
14%
Tom
12%
Airikr :sweden: :endeavour: :xmpp:
10%
More like this
Find more →
Mastodon
＋
A girl and her koto 🇨🇦 ✓
@kotogirl@famichiki.jp
205
Followers
Mastodon
＋
準特急は千歳烏山を通過せよ
@mole_1986@mstdn.jp
205
Followers
Mastodon
＋
Airikr :sweden: :endeavour: :xmpp:
@airikr@mst-gts.airikr.me
205
Followers
Mastodon
＋
Kai Kotzian
@kai_kotzian@hessen.social
205
Followers
Mastodon
＋
onterof
@onterof@sueden.social
205
Followers
Mastodon
＋
Tom
@real_tom@sueden.social
205
Followers
Frequently asked questions
How much does Dom charge for a sponsorship?
Dom hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.
How do I contact Dom for a brand deal or collaboration?
Send a paid deal or collab request right here on SocialDB — we notify Dom, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.
How many followers does Dom have?
Dom has 205 followers on Mastodon.
✉ Message Dom
Reaching out to influencers is a Pro feature. Upgrade to message any influencer directly — perfect for brands and agencies booking sponsorships.
- ✓ Message any influencer from their listing
- ✓ The influencer gets notified by email
- ✓ Manage every conversation in one inbox
Already Pro? Log in.
🎤 Event / appearance with Dom
Booking an event / appearance is a Pro feature. Upgrade to book Dom for an in-person or virtual appearance — payment held safely in escrow until the event is done.
- ✓ Book them for events, livestreams, panels & more
- ✓ Dom gets notified by email
- ✓ Fee held in escrow, released after the appearance
Already Pro? Log in.
🚀
You're out of free requests this month
Free accounts get 5 per month. Go Pro for unlimited sponsor pitches, collab requests & sponsorship deals — plus featured placement, the Verified badge, free withdrawals and more.
Upgrade to Pro — $9.95/mo →Your free limit resets on the 1st of next month.
Auto-generated from Mastodon's public data — no affiliation with or endorsement by SocialDB. Is this you? Claim it · Remove