Marketing & growth tech Creators on X (Twitter): 437 Indexed

This is the pool of Marketing & growth tech creators on X (Twitter) within Software — 437 of them. The narrower the niche, the higher the reply rate; searching broadly for "Software creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• 95% have recent content captured for judgement versus 46% overall — better-evidenced than average.
• A and B grades are 74% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 25% publish an email or IM handle against 6% index-wide — easier to reach directly than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• @Zoom

• 702 (@Radio702) — business innovation finalists

• Larry Kim (@larrykim) — AI marketing tools: comparison and selection

• ADWEEK (@Adweek) — Cannes Lions trends and coverage

• Microsoft Brasil (@MicrosoftBr) — Microsoft 365 Copilot

• Jeff Bullas (@jeffbullas) — Community building vs AI broadcasting

• Mari Smith (@MariSmith) — Human-First Marketing Method

• Search Engine Land (@sengineland) — Python/ML workflows for keyword clustering

• Semrush (@semrush) — AI search evolution

• Alex Lieberman (@businessbarista) — Leadership offsites

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Marketing & growth tech" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.