Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to thegalbc.com

Gal Ben-Chanoch - Founder, Product Leader, Builder · ranked by shared content topics & relevance
71match
lucasdickey.com
Lucas Dickey - Product Leader & Serial Founder
2 shared topicsstartups
69match
ashishspande.com
Product Leadership
2 shared topicsexecutive-leadership-and-management
68match
bryceyork.com
Bryce York - Startup Product Leader
2 shared topicsstartups
67match
builtforproduct.com
Built For Product | Helping Founders Build Products That Scale
2 shared topicsexecutive-leadership-and-management
66match
busot.com
Troy Busot - Fractional CTO & Founder
2 shared topicsstartups
66match
5amdo.com
Dhanakorn "Sam" Ocharoenchai | Strategic Lead | Venture Builder
2 shared topicsstartups
66match
ekaterinamonnot.com
Ekaterina Monnot | Product Launches
2 shared topicsstartups
66match
ashwingovind.com
Ashwin Govind — Founder, Strategist & Managing Director
2 shared topicsstartups
64match
abudukeremunabi.com
Abudukeremu Nabi | Entrepreneur & Operations Leader
2 shared topicsexecutive-leadership-and-management
63match
andrewgadson.com
Andrew Gadson – Posts on product management, startups, and growth
2 shared topicsexecutive-leadership-and-management
63match
echelonbyaether.com
Echelon by Aether | Private Founder Room for $1M+ Operators
2 shared topicsstartups
63match
simonmounde.com
Simon Mounde
2 shared topicsstartups
63match
theauxoletter.com
The Auxo Letter - Growth Product Manager & Startup Insights Newsletter | The Auxo Letter
2 shared topicsstartups
63match
jtburgess.com
J.T. Burgess - Austin Based Product Manager & Entrepreneur
2 shared topicsexecutive-leadership-and-management
63match
bullseyeguy.com
Stephen Meade
2 shared topicsexecutive-leadership-and-management
63match
holdstein.com
CEO Founders Forum — Peer Group for SF/Marin Founders
2 shared topicsstartups
62match
austinmurdock.com
Austin Murdock
2 shared topicsstartups
62match
ltohidi.com
Lida Tohidi
2 shared topicsexecutive-leadership-and-management

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:

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.