Online Optimisers · Kiba / Zucity
Referring profile · DataForSEO snapshot

Backlink profile, honest read

Zucity is a thin profile. That's the right shape for a 1-2 year community brand that grew through Lu.ma, Twitter, and themed-week word of mouth. None of the 90-day moves below involve link-building outreach. They involve earning mentions in places that already get cited by AI.

Profile snapshot

Domain rank
67 / 1000
DR-equivalent, DataForSEO scale
Referring domains
13
11 of 13 nofollow
Total backlinks
38
27 anchor, 9 image, 2 other
Subnet diversity
7 / 36
7 subnets across 36 referring pages

This is a thin profile. Normal for a 1-2 year community brand. The 90-day move isn't link-building, it's earned mentions in trust-source content that AI models cite.

Top referring domains

Domain Their rank Backlinks Spam score First seen Type
paragraph.com43602026-04-29Real
ns.com35202026-03-20Real
luma.com0742026-01-22Real
toplikevideo.com09252025-08-07Scraper
drjack.world03502025-08-20Low-trust
screenshots.wiki02502026-01-29Scraper
ready.pro02502026-02-01Shortener
buzzshrink.website02502026-01-25Shortener
anchorurl.cloud01502026-03-07Shortener
jake.eu01502026-02-12Low-trust
shortenurls.eu01502026-01-23Shortener
quero.party01502025-11-27Low-trust
seoexpress.org01552025-08-21SEO spam
All 13 of 13 referring domains. Sorted by domain rank descending. Type column is qualitative classification based on domain name + spam score + link pattern.

Read of the profile

Healthy signal The 3 real refdoms are the ones that matter

paragraph.com (rank 43), ns.com (rank 35), and luma.com are the three legitimate non-nofollow-by-default sources. Paragraph is the crypto-native Substack alternative used by web3 newsletters. ns.com is Network School (Balaji). Lu.ma is the event platform you already host on. These three account for 15 of the 38 backlinks (~40%). The story Google and AI crawlers see is "small but credible web3-community footprint."

Source: backlinks_refdoms.json, items where rank > 0 OR spam_score < 10
Noise signal 8 of 13 refdoms are URL-shorteners or low-trust auto-scrapers

anchorurl.cloud, jake.eu, ready.pro, screenshots.wiki, buzzshrink.website, shortenurls.eu, quero.party, seoexpress.org all carry spam score 50-55 and the same nofollow auto-link pattern. These are not earned mentions, they're scraper aggregators that index any URL pasted somewhere public. They don't hurt the profile (Google ignores them) but they pad the refdom count to something that looks busier than it is. Real refdom count is closer to 4 (paragraph.com, ns.com, luma.com, drjack.world) than the headline 13.

Source: backlinks_refdoms.json, items where backlinks_spam_score ≥ 50
Concentration No single source dominates, which is good and bad

The largest single contributor is toplikevideo.com with 9 image links (24% of total backlinks) but those are scraper-generated thumbnails, not editorial mentions. The largest editorial source is luma.com at 7 links. If toplikevideo.com is filtered out, the next-largest is the legitimate cluster (paragraph, luma, ns combined = 15). No concentration risk to fix.

Source: backlinks_refdoms.json, backlinks field per item
Trust-source gap Zero mentions on Wikipedia, Forbes, NYT, TechCrunch, a16z, Bankless, The Defiant, Mirror

Not a single backlink from a tier-1 crypto publication, tier-1 mainstream press, university research org, or established VC blog. This is the gap the 90-day plan targets. Network-state peers like Edge City and Cabin have at least 5-10 of these (a16z fund-announcement posts, Bankless newsletter mentions, NYT/Wired feature articles).

Source: backlinks_refdoms.json, manual review of full 13-item list
Freshness 8 of 13 refdoms first seen in 2026, 5 in 2025

First-seen dates run 2025-08-07 through 2026-04-29. Steady trickle, no acquisition burst. That's consistent with organic Twitter/Lu.ma-driven growth and no PR push. A themed-week PR cycle would compress 5-10 new refdoms into a 14-day window, which would be visible here.

Source: backlinks_refdoms.json, first_seen field

Anchor text distribution

7 distinct anchors in the snapshot. The chart below shows backlink count per anchor.

(no anchor / image)
15
Image
zucity.org
14
URL
boj.zucity.org/?miniApp=true
3
URL
boj.zucity.org/boj-og.png
3
Image URL
Apply
1
Generic
live.zucity.org
1
URL
https://zucity.org/
1
URL
Source: backlinks_anchors.json, 7 of 7 anchors. Bar widths scaled to max count (15).

Healthy anchor distribution is roughly 40-60% branded ("Zucity", "Zucity Japan"), 15-30% generic ("here", "website", "read more"), 10-20% topic-relevant ("coliving Japan", "network state community", "Karuizawa builder retreat"), and under 5% exact-match commercial.

Zucity's actual distribution is approximately 79% raw URL ("zucity.org" + subdomain URLs = 22 of 38), 39% image / no-anchor (15 of 38), 0% true branded text ("Zucity" or "Zucity Japan" as readable text), 3% generic ("Apply" = 1 of 38), and 0% topic-relevant. The total goes over 100% because nofollow image links overlap.

This is the shape of a brand that is shared by URL paste, not by editorial citation. Members drop the URL into Lu.ma event pages and Twitter threads. Editors don't write articles that link the words "Zucity" or "coliving Japan" back to the site. That's the biggest fixable thing on this page.

Competitor backlink gap, qualitatively

Pulling DataForSEO on Edge City, Esmeralda, Network School, and Cabin would cost roughly the same as this snapshot, four times. Out of scope for a friendship gift. The qualitative read from public knowledge:

90-day earned-mention target

Not cold outreach for links. Earned mentions via themed-week PR, podcast pipeline, and member writing.

Source typeTarget countMethodDR range
Crypto newsletters (Bankless, The Defiant, Milk Road)3Pitch themed-week storiesDR 70-85
Japan / nomad press (Japan Times, Tokyo Weekender, NomadList blog)4Local angle stories from Karuizawa / HokkaidoDR 50-75
Founder podcasts (transcript embeds = backlinks)5Pitch Kiba as guest on agent-design / community-design showsDR 40-70
Themed-week sponsor blog posts (Polygon, Vita, ETHTokyo)3Sponsor announcement reciprocityDR 60-80
Member-written essays (Mirror, Paragraph, Substack)10Encourage members to write about their stayDR 20-50
University / research-org cites (DeSci collaborations)2DeSci themed-week partnershipsDR 60-90

Total 90-day target: ~27 new referring domains. 3x current count. Real ones, not scrapers. Distribution skewed to member-written essays because that's the lowest-cost highest-truth source.

What NOT to do

Honest caveat

DataForSEO snapshot taken 2026-05-28. Ahrefs and Semrush would show similar shape with different absolute numbers (DR scales differ, refdom counts usually within 20% of each other). Backlink profiles evolve slowly. Recheck quarterly, not weekly.

If you want a full DR-tracker + competitor gap audit across Edge City, Esmeralda, Network School, and Cabin with month-over-month deltas, happy to scope that as a one-off.

Thin profile is the right shape for now. The work is earning 5-10 high-quality mentions per quarter via themed-week PR and the podcast pipeline. See outreach.html for the pitch sequences and intel-leads.html for the 20 content angles that double as press hooks. Link-building outreach is the wrong move. Positioning Kiba as a thinker is the right one.

Donal · Online Optimisers · 2026-05-28