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0Bo alternatives & similar sites

0BO | Digital Asset Trading Platform, App Download & Support — 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 Financial Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dfns.co ↗	70 match shared topic	DFNS — Core Banking Platform for Digital Assets	Colombia en	financial-industry	robots llmsaihumans	emailphone	none
tradingtechnologies.com ↗	70 match shared topic	Trading Technologies \| Multi-Asset Trading & Surveillance Platform for Futures, Fixed Income, Foreign Exchange (FX) & Crypto	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
wealthmagic.in ↗	65 match shared topic	Fintso - Integrated Digital Wealth Platform for Modern Financial Advisors	India en	financial-industry	robotsllmsaihumans	email phone	none
galaxy.com ↗	65 match shared topic	Galaxy: An Institutional Digital Assets & Data Center Leader \| Galaxy	en	financial-industry	robotsllmsaihumans	emailphone	none
glassnode.com ↗	65 match shared topic	Glassnode - Digital Asset Market Intelligence	en	financial-industry	robotsllmsaihumans	emailphone	none
dashfinancial.com ↗	65 match shared topic	Industry-Leading Electronic Trading Platform \| DASH Financial Technologies	en	financial-industry WordPress Lightspeed	robotsllmsaihumans	emailphone	none
chainup.com ↗	65 match shared topic	ChainUp \| Digital Asset Exchange & Custody Solution Provider	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
komainu.com ↗	65 match shared topic	Institutional Gateway to the Digital Asset Market \| Komainu	en	financial-industry WordPress	robots llmsaihumans	emailphone	none
mifos.org ↗	65 match shared topic	Mifos Initiative – Open Source Community in Support of the Mifos Platform for Financial Inclusion	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
sdm.co ↗	65 match shared topic	Secure Digital Markets - Digital Asset Brokerage	Colombia en	financial-industry	robotsllmsaihumans	emailphone	none
chainitpay.com ↗	65 match shared topic	ChainIT Pay \| Verified Digital Payments & Fraud Prevention Platform	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
iaac.com ↗	65 match shared topic	International Assets Advisory, LLC- world-class financial services platform	United States~ en	financial-industry WordPress	robotsllmsaihumans	email phone	none
crypto-finance.com ↗	65 match shared topic	Crypto Finance: Securing trust in digital assets	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
ambergroup.io ↗	65 match shared topic	Amber Group: Building the Future of Digital Assets	en	financial-industry	robotsllmsaihumans	emailphone	none
coinmetrics.io ↗	65 match shared topic	Digital Asset Data & Intelligence for Institutions \| Talos	en	financial-industry	robotsllmsaihumans	emailphone	none
allfunds.com ↗	60 match shared topic	Allfunds - The largest digital ecosystem and Wealthtech	Spain~ en	financial-industry	robotsllmsaihumans	emailphone	none
instafintech.com ↗	60 match shared topic	InstaFintech is number one in online trading. Trade on global markets	en	financial-industry	robotsllmsaihumans	emailphone	none
strands.com ↗	60 match shared topic	Revolutionizing digital banking experiences - Strands	en	financial-industry WordPress	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.