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Chris Hayes - Technical Program Manager — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
robholub.com ↗	72 match 1 shared topics	Rob Holub \| Technical Operations Manager	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
iancwe.com ↗	72 match 1 shared topics	Ian Chong \| Project Manager & Technical Leader \| Singapore	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
gabrielacampana.com ↗	71 match 1 shared topics	Gabriela Campana — Operations & Technical Programs Leader	en	executive-leadership-and-management Webflow	robotsllmsaihumans	emailphone	none
gabicampana.com ↗	71 match 1 shared topics	Gabriela Campana — Operations & Technical Programs Leader	en	executive-leadership-and-management Webflow	robotsllmsaihumans	emailphone	none
iamjayfloyd.com ↗	71 match 1 shared topics	Coaching for Technical Managers \| Jay Floyd	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
christianbrown.dev ↗	69 match 1 shared topics	Christian Brown - Engineering Manager - London, UK	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
aboutjared.com ↗	69 match 1 shared topics	Jared Konarska — Product Manager (Technical Background)	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
yunikaliu.com ↗	68 match 1 shared topics	Program Manager \| Customer Enablement \| Strategic Designer \| Yunika Liu	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
chialichien.com ↗	68 match 1 shared topics	Value Growth Institute – Succession Program Management & Coaching	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
milleratx.com ↗	68 match 1 shared topics	Chris R Miller — Engineering Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ibrahimshardow.com ↗	68 match 1 shared topics	Ibrahim Shardow \| Product Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
impellus.com ↗	68 match 1 shared topics	Management training programmes and courses \| Impellus	en	executive-leadership-and-management WordPress	robotsllmsaihumans	email phone	none
drbiglow.com ↗	68 match 1 shared topics	Dr. Tonya Biglow: Empowering Technical Experts to Lead Authentically	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
chiaoansung.com ↗	68 match 1 shared topics	Joanna Sung - Project Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
fulcrion.com ↗	68 match 1 shared topics	Technical Leadership for Founders and CEOs	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
adrianmarten.net ↗	67 match 1 shared topics	Adrian Martén \| Product Leadership With Technical Range	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
abigailbrowning.com ↗	67 match 1 shared topics	Abigail Browning – Experienced Product Manager \| Mixed-Methods Researcher \| Expert Technical Writer	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
robopaty.com ↗	67 match 1 shared topics	Fractional CTO & Technical Product Leadership \| CTO 4 Business	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.