similar sites

Browse

AI Report Tools

Sites similar to davidjanks.com

Davidjanks alternatives & similar sites

David Janks | Product Leader & Systems Thinker — 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
anitaodiete.com ↗	76 match 1 shared topics	Anita Odiete - Product Leader & Systems Builder	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
davepinke.com ↗	74 match 1 shared topics	Dave Pinke \| Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
hellokartik.com ↗	73 match 1 shared topics	Kartik Sachdev - Product Leader & Advisor	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danyerelian.com ↗	72 match 1 shared topics	Dan Yerelian - Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danlawyer.com ↗	72 match 1 shared topics	Product Leadership Insights \| Dan Lawyer	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danielfilson.com ↗	72 match 1 shared topics	Daniel Filson \| Design Executive & Systems Thinker	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
aniketmalvankar.com ↗	71 match 1 shared topics	Aniket Malvankar — Product Leader & AI Strategist	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
hinesy.org ↗	71 match 1 shared topics	Will Hines — Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daniellekisza.com ↗	71 match 1 shared topics	Daniella Kisza — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daniellakisza.com ↗	71 match 1 shared topics	Daniella Kisza — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daveidle.com ↗	71 match 1 shared topics	Dave Idle \| CPO+ Product Leader & Enterprise Growth Executive	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
keegen.com ↗	71 match 1 shared topics	Keegen Knapp \| Product Leader & Builder	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
anthonyaustin.com ↗	70 match 1 shared topics	Anthony Austin — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
brieannapatrick.com ↗	70 match 1 shared topics	BrieAnna Patrick — Chief Product Officer \| Systems & Scale	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
designforimpact.io ↗	70 match 1 shared topics	Product Leadership by Design	en	executive-leadership-and-management Ghost	robotsllmsaihumans	emailphone	none
vkengo.com ↗	70 match 1 shared topics	Viken Govinden \| Strategic Product Leader	en	executive-leadership-and-management Joomla	robotsllmsaihumans	emailphone	none
wirsi.ch ↗	70 match 1 shared topics	Stephan Wirsich \| Product & Platform \| Leadership \| Swiss	Switzerland en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danielchaparro.com ↗	70 match 1 shared topics	Daniel Chaparro \| Product Design Leader • UX Strategy, Systems & AI Transformation \| Enterprise SaaS, FinTech, AI	en	executive-leadership-and-management Spree Commerce	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.