Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to modrnmind.com

Modrn Mind – Curated Research Database on How AI Reshapes Thinking, Work & Self · ranked by shared content topics & relevance
67match
kovasboguta.com
Kovas Boguta | AI Research, Networks & Data Strategy
1 shared topicsartificial-intelligence
67match
hedwigai.com
AI Research Desk
1 shared topicsartificial-intelligence
67match
researchoor.com
Researchoor - AI Research Platform
1 shared topicsartificial-intelligence
67match
2kingsdev.ai
2KINGSDEV — Independent AI Research Lab
1 shared topicsartificial-intelligence
67match
anuna.io
Anuna — Research Cooperative
1 shared topicsartificial-intelligence
67match
baxterai.com
BAI Research
1 shared topicsartificial-intelligence
66match
gdairesearch.com
Great Day AI Research Inc
1 shared topicsartificial-intelligence
66match
researchsathi.com
Research Sathi - AI-Powered Research Assistant
1 shared topicsartificial-intelligence
66match
nurseguidesyou.com
Code Studio AI Research Lab
1 shared topicsartificial-intelligence
66match
itoedge.com
Ito Edge | AI Research Tool for Hedge Funds
1 shared topicsartificial-intelligence
66match
planet-health.com
AI Research | PLANET AI
1 shared topicsartificial-intelligence
66match
shepherdcanine.com
Optimal CAFE Workbench — AI Research Operations
1 shared topicsartificial-intelligence
66match
1iman.com
Iman YeckehZaare | Auditable knowledge infrastructure for AI research, learning, and work
1 shared topicsartificial-intelligence
66match
heyhotec.com
HeyHoTec — Applied AI Research & Development
1 shared topicsartificial-intelligence
66match
isicheinnamdi.com
Isichei Nnamdi | AI Researcher & Founder
1 shared topicsartificial-intelligence
66match
andonhk-ai.com
AI Research Platform
1 shared topicsartificial-intelligence
66match
beaverapp.ai
Beaver — AI Research Assistant for Zotero
1 shared topicsartificial-intelligence
66match
dkedar.com
Kedar Dabhadkar | ML Engineer & AI Researcher – Kedar Dabhadkar
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.