similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to fuckingfunctionpointers.com

Fuckingfunctionpointers alternatives & similar sites

How Do I Declare A Function Pointer in C? — 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
lean4.dev ↗	65 match 1 shared topics	Lean 4 - Learn Functional Programming & Theorem Proving \| lean4.dev	en	programming-languages	robotsllmsaihumans	emailphone	none
cs-prep.org ↗	64 match 1 shared topics	CS Transfer Interview	en	programming-languages	robotsllmsaihumans	emailphone	none
csalgorithm.net ↗	64 match 1 shared topics	Implementation of algorithms in C#	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
kcsrk.info ↗	64 match 1 shared topics	KC Sivaramakrishnan · Building Functional Systems	en	programming-languages	robotsllmsaihumans	emailphone	none
learncocotb.com ↗	64 match 1 shared topics	Introduction \| learncocotb.com	en	programming-languages	robotsllmsaihumans	emailphone	none
programming-digressions.com ↗	64 match 1 shared topics	Programming Digressions – Essays at the intersection of programming, tech, and culture	en	programming-languages WordPress	robotsllmsaihumans	emailphone	full · 12
msfp.org.uk ↗	63 match 1 shared topics	Mathematically Structured Functional Programming 2008	United Kingdom en	programming-languages	robotsllmsaihumans	emailphone	none
cmears.id.au ↗	63 match 1 shared topics	Chris Mears \| Personal blog of Chris Mears. Posts on constraint programming, functional programming and more.	Australia en	programming-languages	robotsllmsaihumans	emailphone	none
mcproto.info ↗	63 match 1 shared topics	Java Edition protocol/Packets – Minecraft Wiki	en	programming-languages	robotsllmsaihumans	emailphone	none
fluttertpoints.com ↗	63 match 1 shared topics	FlutterTPoint - Learn Android And Flutter	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
brunorb.com ↗	63 match 1 shared topics	Structure and Interpretation of Bruno's Code	en	programming-languages	robotsllmsaihumans	emailphone	none
7urtle.com ↗	63 match 1 shared topics	@7urtle/lambda - Functional programming library for JavaScript	en	programming-languages	robotsllmsaihumans	emailphone	none
ideasillustrated.com ↗	63 match 1 shared topics	Ideas Illustrated \| Survival Skills for the Information Age	en	programming-languages	robotsllmsaihumans	emailphone	none
ctrl-c.dev ↗	63 match 1 shared topics	ctrl-c: a friendly interruption	en	programming-languages	robotsllmsaihumans	emailphone	none
leetcodeunlocked.com ↗	63 match 1 shared topics	LeetCode Unlocked \| Master Your Technical Interviews	en	programming-languages	robotsllmsaihumans	emailphone	none
leetsilicon.com ↗	63 match 1 shared topics	LeetSilicon - Hardware Interview Prep Platform	en	programming-languages	robotsllmsaihumans	emailphone	none
preparationzone.com ↗	63 match 1 shared topics	Tech Preparation Zone — Backend Development & System Design Interview Prep	en	programming-languages	robotsllmsaihumans	emailphone	none
programmerinsults.com ↗	63 match 1 shared topics	Programmer Insults!	en	programming-languages	robotsllmsaihumans	emailphone	none

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.