ergopad VS quid-games

If it's not vested then give it an hour or two until the node syncs and retry (as per u/FathersFolly comment below. If it's vested then you need to review the readme here: https://github.com/ergo-pad/ergopad/blob/main/docs/README.md

Here's the README, check under the heading: Tokenomics and Vesting Schedule. It's a phased vesting with 9 months, 6 months or 3 months, with a monthly release of equal portions depending on whether you purchased at $0.011, $0.02, or $0.03. IDO price was $0.04.

Ok, I'm not trying to mislead you my fellow ergonaut, and I think ergopad is a hell of a project. As I wrote in the post, I'm showing fully diluted market caps, as it's an important parameter to consider when analyzing the value of such a project. Talking about the market cap when 5% of the tokens are released and large increases in supply are imminent could be also called misleading. Anyways, for anyone interested, their tokenomics are detailed on their github page here.

If you want a better page to help you understand, try the Documentation, particularly the Tokenomics and Vesting Schedule section of the README.md.

Got inspired by @mhs_sam 's excellent documentation so improved the documentation of the vesting setup which can be found here: https://github.com/ergo-pad/ergopad/blob/staking-contracts/backend/app/contracts/vesting.md

source: https://github.com/ergo-pad/ergopad/blob/main/docs/README.md

Github: https://github.com/hypo10use/quid-games

it has been a pleasure to partake in this hackathon and we will for sure not miss the third round of this. We had an amazing weekend with a very steep learning curve where we have explored lot of the ergo blockchain and its toolsets, also brining some of them to their limits like the ergoscala on scastie. Our repo can be reached from this link https://github.com/hypo10use/quid-games. The deployment onto testnet/mainnet is still pending and we will be working in the coming days/weeks to take this project live and continuously work on it. Therefore, each part can be tested/observed individually, but not in an end-to-end scenario yet. We would be happy to share and demonstrate our progress with the team and gather feedback to improve our game.