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Sap1Ens alternatives & similar sites

Software engineer & architect specializing in data-intensive applications, data streaming, stream processing, and distributed systems. — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
namdq.com ↗	69 match 1 shared topics	Nam Dang \| Personal site of Nam Dang — a technology leader passionate about software architecture, distributed systems, and blockchain innovation. Sharing insights on engineering, architecture design, and building scalable systems that make a real impact.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xdpslabs.dev ↗	69 match 1 shared topics	Devendra Pratap Singh — Principal Software Engineer & System Architect	IN~ en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
fdalmed.com ↗	69 match 1 shared topics	Mohammed Fdal \| Software Engineer (Backend, Systems & DevOps)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
john-ee.com ↗	69 match 1 shared topics	John-EE • Software Engineering, Data Science, and General Nerdness	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
divyambansal.com ↗	69 match 1 shared topics	Divyam Bansal - Software Engineer and Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
balasivapindra.com ↗	69 match 1 shared topics	Balasiva Pindra \| Sr. Software Engineer (Big Data)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jmoliver.ai ↗	68 match 1 shared topics	Jason M Oliver \| Principal Platform & Distributed Systems Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jmoliver.com ↗	68 match 1 shared topics	Jason M Oliver \| Principal Platform & Distributed Systems Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
aymesglidewell.com ↗	68 match 1 shared topics	Aymes Glidewell · Systems Applications Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
joekarlsson.com ↗	68 match 1 shared topics	Joe Karlsson \| Software Engineer & Developer Advocate	en	technology-and-computing	robots llmsaihumans	emailphone	partial · 8
lucasangelo.com ↗	68 match 1 shared topics	Lucas Ângelo Oliveira Martins Rocha – Senior Software Engineer & Architect	en	technology-and-computing	robotsllmsaihumans	emailphone	none
luigivis.com ↗	68 match 1 shared topics	Luigi Vismara - Solutions Architect & Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
johnmwai.com ↗	68 match 1 shared topics	John Mwai — Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bassner.dev ↗	68 match 1 shared topics	Patrick Bassner — Software Engineer & SaaS Founder	en	technology-and-computing	robotsllmsaihumans	emailphone	none
harittrivedi.com ↗	67 match 1 shared topics	Harit Trivedi — Systems architect & hardware design engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
john-mcauliffe.com ↗	67 match 1 shared topics	John McAuliffe — Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lucasfaria.dev ↗	67 match 1 shared topics	Lucas Faria \| Product-minded software engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
samyak-jn.com ↗	67 match 1 shared topics	Samyak Jain \| Software Engineer & Open Source Contributor	en	technology-and-computing	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.