The Good Tech Companies - GameFrog ($GMF) Introduces AI-Driven Staking Model And Security-Focused Smart Contract Audit
Episode Date: February 11, 2025This story was originally published on HackerNoon at: https://hackernoon.com/gamefrog-$gmf-introduces-ai-driven-staking-model-and-security-focused-smart-contract-audit. ...Drawing inspiration from the cultural influence of GameStop and the Pepe the Frog meme, the project aims to offer token holders automated staking mechanisms and Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #web3, #chainwire, #press-release, #memecoin, #blockchain-development, #crypto-exchange, #good-company, and more. This story was written by: @chainwire. Learn more about this writer by checking @chainwire's about page, and for more stories, please visit hackernoon.com. GameFrog ($GMF) is a memecoin project that integrates AI-based market stabilization tools and staking functionalities. The project aims to combine community engagement with algorithmic market optimization. The presale phase has reportedly raised close to $250,000, with an initial token launch price of $0.10 per $GMF.
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GameFrog, Dollar GMF, introduces eye-driven staking model and security-focused smart
contract audit, by Chainwire. GameFrog, Dollar GMF, a new entrant in the Memeco and sector,
integrates artificial intelligence-driven market strategies with a S-taking rewards system.
Drawing inspiration from the cultural
influence of gamestop and the pepe the frog meme the project aims to offer token holders automated
staking mechanism sand liquidity management tools with the pre-sale nearing 250 000 participants
are acquiring dollar gmf tokens at pre-sale prices before public trading begins at $0.10 per token. Key features of GAMEFROG
$GMF GameFrog incorporates eye-powered market optimization and staking functionalities
with a focus on sustainability and liquidity support.
Pre-sale model GameFrog's pre-sale phase has reportedly raised close to $250,000
with an initial token launch price of $0.10 per dollar GMF.
Staking Rewards. The project advertises staking incentives,
with mechanisms designed to automate rewards distribution.
AI-powered Liquidity Management. The DeepSeek AI agent is programmed to monitor market conditions
and adjust liquidity strategies. Liquidity Allocation. A portion of
pre-sale funds is designated for
liquidity support to maintain market stability. Security audit. An audit conducted by Coinsult
found no critical security issues, with measures implemented to prevent unauthorized token minting.
Smart contract and security measures The GameFrog development team has placed a strong emphasis on
security from the very start. An audit conducted by Coinsult reported no critical issues, confirming that GameFrog's
smart contract is built with robust safeguards, including measures to prevent unauthorized token
minting, and does not incorporate honeypot features or blacklisting functions. This
commitment to security ensures a transparent and trustworthy investment experience.
Staking an
eye-driven optimization GameFrog's staking model is structured for automated reward distribution.
According to the project, rewards accumulate daily and can be claimed following the pre-sale period.
The DeepSeek AI system is designed to optimize token liquidity and mitigate price volatility.
How to participate the GameFrog pre-sale is currently open,
with participation available through official website GameFrog pre-sale is currently open,
with participation available through. Official website. GameFrog.VIP.
Ex. Formerly Twitter. At GameFrog VIP. Telegram community.
T.me slash GameFrog token dot about GameFrog GameFrog. Dollar GMF.
Is a memecoin project that integrates AI-based market stabilization tools and staking functionalities. The project aims to combine community engagement with algorithmic market
optimization. Contact Betsy Valdez Marketing at gamefrog.vip. Tip This story was distributed as
a release by Chainwire under HackerNoon's business blogging program. Learn more about the program
here. Thank you for listening to this hackernoon story read
by artificial intelligence visit hackernoon.com to read write learn and publish