Piperic Business Intelligence
similar sites
‹ profile

Sites similar to lessi.co

lessi.co · GitHub · ranked by category · tech stack · backlink co-citation
93match
joao-silva.com
jmfs · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
jmj-works.com
x42x64 · GitHub
5 co-citations2 shared tech2 shared categorysoftware-and-applications
92match
hofmans.com
hiphof · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
eliemunsi.com
emunsi · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
afrin.dev
mkafrin · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
jglopes.com
jg-lopes · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
jjzolper.com
JJZolper · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
grisenti.dev
grisenti · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
devopsix.org
devopsix · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
genericavatar.com
MrCoBalt · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
deverdonces.com
verdonces · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
matildalpy.com
Matilda56 · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
jixiang.dev
inspirepan · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
devhotteok.com
devhotteok · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
92match
felipeluna.com
felipeluna · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
91match
couchcoding.com
couchcoding · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
91match
deviousdefiance.com
djf0r7 (djf) · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing
91match
jackowiak.dev
jmjac (jmjac) · GitHub
5 co-citations2 shared tech2 shared categorytechnology-and-computing

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.