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Object Introspection | Object Introspection — 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 Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
adoptingerlang.org ↗	66 match 2 shared topics	Introduction \| Adopting Erlang	en	programming-languages	robotsllmsaihumans	emailphone	none
silicon-lang.org ↗	65 match 2 shared topics	Introduction - Silicon Specification	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
culsma.dev ↗	64 match 2 shared topics	Culsma Documentation \| Culsma	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
borrowsanitizer.com ↗	64 match 2 shared topics	Introduction - BorrowSanitizer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
markinfo.dev ↗	64 match 2 shared topics	Computer Information and Projects	en	programming-languages	robotsllmsaihumans	emailphone	none
paolobietolini.com ↗	63 match 2 shared topics	Data Collection and Tag Management \| Paolo Bietolini	en	programming-languages	robots llmsaihumans	emailphone	none
sblevins.com ↗	63 match 2 shared topics	Sterling's Project Blog	en	technology-and-computing	robotsllmsaihumans	emailphone	none
misago-project.org ↗	63 match 2 shared topics	Misago Project Forums	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csvspec.org ↗	63 match 2 shared topics	CSV Spec 0.9.0-draft.2 \| CSV Spec	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jarosz.dev ↗	63 match 2 shared topics	Security, Systems & Electrical Automation \| Jakub Jarosz	en	programming-languages	robotsllmsaihumans	emailphone	none
bogdanbojan.com ↗	62 match 2 shared topics	Bogdan Bojan \| Live implementation of HTCPCP/1.0	en	programming-languages	robotsllmsaihumans	emailphone	none
tjmahr.com ↗	62 match 2 shared topics	Higher Order Functions	en	programming-languages	robotsllmsaihumans	emailphone	none
agilecoding.io ↗	62 match 2 shared topics	AgileCoding.io - connecting agile project management with coding and all it takes around it	en	technology-and-computing	robotsllmsaihumans	emailphone	none
botond.dev ↗	62 match 2 shared topics	Botond's Dev Blog – A Programmer's Perspective (AZ)	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
scrolltest.com ↗	62 match 2 shared topics	Software Testing & Automation	en	technology-and-computing WordPress Lightspeed	robotsllmsaihumans	emailphone	none
jannusdorfer.com ↗	62 match 2 shared topics	Jannus Dorfer — Full-Stack Developer & Automation Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abdullahslab.com ↗	62 match 2 shared topics	Abdullah’s Lab \| My explorations, experiments, and projects.	en	programming-languages	robotsllmsaihumans	emailphone	none
scicoding.com ↗	62 match 2 shared topics	Practical communications, science & engineering	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	partial · 1

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.