similar sites

Browse

Pricing AI Report

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 waveze.com

Waveze alternatives & similar sites

Waveze - Ride the Wave | 5s Market Prediction Game on Telegram — 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 Currencies →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dhealth.network ↗	69 match 1 shared topics	One of the leading prediction markets ― Zephyr	en	currencies	robotsllmsaihumans	emailphone	partial · 8
cryptopredictions.com ↗	66 match 1 shared topics	CryptoPredictions.com - (likely) the BEST Crypto Prediction Site	en	currencies	robotsllmsaihumans	emailphone	none
dinarchronicles.com ↗	65 match 1 shared topics	Dinar Chronicles \| Read the latest predictions about the global currency reset.	en	currencies WordPress	robotsllmsaihumans	emailphone	none
adaprice.org ↗	65 match 1 shared topics	ADA Price Today – Live Cardano (ADA) to USD Price, Chart & Prediction \| AdaPrice.org	en	currencies WordPress WooCommerce	robotsllmsaihumans	emailphone	none
currency-prediction.com ↗	65 match 1 shared topics	Currency prediction \|Currency prediction \| - Currency prediction based on a predictive algorithm.	en	currencies WordPress	robotsllmsaihumans	emailphone	none
currencypulseanalysistool.com ↗	65 match 1 shared topics	Currency Pulse Analysis Tool – Real-Time Market Insights	en	currencies	robotsllmsaihumans	emailphone	none
cryptomarketmap.org ↗	65 match 1 shared topics	Crypto Market Map by Electric Capital	en	currencies	robotsllmsaihumans	emailphone	none
marketforgetech.com ↗	64 match 1 shared topics	Market Forge	en	currencies	robotsllmsaihumans	emailphone	none
cryptonium.cloud ↗	64 match 1 shared topics	Cryptonium - Real-time Crypto KOL Signals & Market Data	en	currencies	robotsllmsaihumans	emailphone	none
cryptoquick.io ↗	64 match 1 shared topics	Crypto Market Cap	en	currencies	robotsllmsaihumans	emailphone	none
limaoamarelo.com.br ↗	64 match 1 shared topics	Telegram: View @cryptonews_p	Brazil en	currencies	robotsllmsaihumans	emailphone	none
droitthemes.net ↗	64 match 1 shared topics	DroiThemes — Latest Crypto News, Trends & Market Updates	en	currencies WordPress	robots llmsaihumans	emailphone	none
cryptoliness.com ↗	64 match 1 shared topics	Cryptoliness BTC at (+) \| Cryptocurrency alerts & prices past, present and future predictions!	en	currencies	robotsllmsaihumans	emailphone	none
aestimai.org ↗	64 match 1 shared topics	AestimAi — Valuation & Marketplace	en	currencies	robots llmsaihumans	emailphone	none
digitalgold.media ↗	64 match 1 shared topics	Digital Gold (DGD) — A Price You Can Predict	en	currencies	robotsllmsaihumans	emailphone	none
cryptoventis.com ↗	64 match 1 shared topics	Cryptoventis Labs \| Building the next generation of crypto-native market infrastructure.	en	currencies	robotsllmsaihumans	emailphone	none
cryptopovar.com ↗	64 match 1 shared topics	Telegram: Launch @CryptoPovarBot	en	currencies	robotsllmsaihumans	emailphone	none
coinlore.com ↗	64 match 1 shared topics	Live Crypto Prices & Market Cap \| CoinLore	en	currencies	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.