Fintech / payments Creators on X (Twitter): 97 Indexed

This is the pool of Fintech / payments creators on X (Twitter) within Software — 97 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

• 92% have recent content captured for judgement versus 46% overall — better-evidenced than average.
• A and B grades are 73% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 29% 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

• Cardano Community (@Cardano) — ADA delegation and staking rewards

• Nischal Shetty (@NischalShetty) — Crypto regulation in India

• Simon Desue (@SimonDesue) — Bitcoin price history and halving cycles

• 大宇 (@BTCdayu) — Cryptocurrency and overseas investment taxes

• @WalletConnect — Stablecoin payment volumes

• Solflare - The Solana Wallet (@solflare) — Solana wallet updates

• RedStone ♦️ (@redstone_defi) — DeFi oracle infrastructure and data reliability

• 商標速報bot (しばらくは遅報bot) (@trademark_bot) — Trademark application gazette

• BTCPay Server (@BtcpayServer) — BTCPay Server version releases and changelogs

• The Way of Jerz (@TheJerzWay) — Offshore tax optimization

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

"Fintech / payments" 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.