Complete overviews of projects, tokens, products, and teams to help you uncover true potential - delivered in a elegant interface or seamlessly through our API.
Identify projects with the most potential and segment the ecosystem to learn about the right projects at the right time.
Don’t believe the hype. Use Blockdata to cross-reference information throughout the research process.
With our daily updates, you don't have to worry about missing important developments in your favourite projects.
We take unstructured data from around the web and organise it into something understandable.
Researching blockchain projects is hard. With so many competing vested interests, making sense of projects is essential to making sound investment decisions.
Blockdata is here to help.
Using a variety of sources, Blockdata brings you concise, up-to-date information about the biggest blockchain projects. We aim to simplify and clarify these projects to give you a broad and unbiased understanding.
Company - Founding date, industry vertical, HQ, 5 word overview, bio
Key Goals / Market - Mission statement, primary objectives, competitors
Token - Layer, use case, supply, exchanges
Team - Names, positions, links, responsibilities
Funding - Type, investors, amount, date
General links - Website, whitepaper, twitter, reddit, etc.
Product / Development - Roadmap items, deliverables, product description, time of completion
Token features - Consensus mechanism, mining algorithm, transaction time, blockchain size, tx fee, USP
Extra token info - Wealth distribution, pools, languages used
In late 2016 and 2017, we all witnessed the flood of new blockchain projects and cryptocurrencies entering the market. We asked ourselves the question:
How do we separate the hype from the legitimately good projects?
Just like you, we love seeing new token releases and the myriad use cases they are aimed at. But with so many interested parties tracking the ecosystem with countless excel sheets, bots, and ‘insider’ Telegram groups, we see that there is a great deal of repetition in research.
We think this kind of information should be easy to locate and interpret, so after searching for such a tool to no avail, we decided to go ahead and build it ourselves.