Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to slackdevs.com

Sebastián Larrauri - AI Product Engineer · ranked by shared content topics & relevance
77match
0nyx.tech
0nyx // AI product engineer
1 shared topicsartificial-intelligence
74match
akshatmahadeva.dev
Akshat Mahadeva | AI Product Engineer & Specializing in Agentic Workflows
1 shared topicsartificial-intelligence
73match
loque18.com
Sebastian Madrid - AI Engineer
1 shared topicsartificial-intelligence
73match
mryuribraga.com
Yuri Braga - Systems, Embedded & AI Product Engineer
1 shared topicsartificial-intelligence
72match
builtbyomnia.com
Omnia — Product Engineering
1 shared topicsartificial-intelligence
72match
alexjensen.me
Alex Jensen — AI Engineer
1 shared topicsartificial-intelligence
72match
accelprod.com
AI-Accelerated Product Engineering Company | Accelprod
1 shared topicsartificial-intelligence
71match
efrenmacasaet.com
Efren Macasaet — AI Product & Engineering Leader
1 shared topicsartificial-intelligence
71match
mptpay.com
MPT Pay LTD — AI Product Engineering | UK AI Development Company
1 shared topicsartificial-intelligence
71match
testaing.com
Testaing - Enterprise AI Product Engineering & Testing Services
1 shared topicsartificial-intelligence
71match
loompt.com
Loompt — Prompt Engineering Studio | Production-Ready AI Prompts
1 shared topicsartificial-intelligence
71match
buildingwithpedro.com
Pedro Pereira — AI, Automation, Product Engineering
1 shared topicsartificial-intelligence
71match
pantelwar.com
Pantelwar — AI Agents & AI-Native Product Engineering
1 shared topicsartificial-intelligence
70match
fzehradinc.com
Fatma Zehra Dinç — AI Engineer & Product Builder
1 shared topicsartificial-intelligence
70match
musabsaraswat.com
Musab - AI Product Manager
1 shared topicsartificial-intelligence
70match
ashouri.me
Nick Ashouri | AI & LLM Engineer
1 shared topicsartificial-intelligence
70match
ahmedbilal.org
Ahmed Bilal — AI Engineer
1 shared topicsartificial-intelligence
70match
muratbilgic.com
Murat BİLGİÇ — AI/ML Engineer & Data Product Manager
1 shared topicsartificial-intelligence

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.