Roadmap
Q4 2025:
Programming the first version of the Web Scrapper, analyzing extractable information on the Internet for any specific crypto-projects in NodeJS.
Creation and filtering of our datasets database (such as MongoDB) from projects parsed data within the scrapper framework and internal APls.
Writing the extended rules and weightage calculations, testing, helping the Als models analyze and score project content.
Back-end daemon software in continuous research for new projects datasets available on our database from the scrapper, sending processed information to all the LLM models for analysis
Building our web application with internal APIs to access information computed in our database, from Al result scores to private LLM content access.
Releasing the open-source repositories of the Trigon project on GitHub, making our scores analysis readable by anyone.
Q1 2025:
Designing and developing the smart contracts for the $Trigon ERC-20 token to be deployed on the Ethereum Chain.
Burning deflationary mechanism on-chain through a smart contract associated with community users' wallets to access or revoke premium Trigon AI's services.
Launching the MVP first version of The Next 100x Trigon AI online linked with our APIs, database, and information on projects (Als models scoring).
Initiating the Trigon AI project across social networks to gain visibility and initiating deals to prepare the launch of the $Trigon token with influencers and VCs.
Deploying the Trigon AI's custom LLM with our Premium service using the on-chain contract accessible on our online application.
Kickstarting the Trigon AI's token over the market by deploying it through a Fair Launch or a Decentralized launchpad we partnered with.
Deploying liquidity over a Uniswap pool, enabling the buy and sell of the TrigonAI token with liquidity locked over 3 years once kick-started.
Q1 2025:
Working on more crypto projects data sources fetching from different places, centralized or decentralized, to fetch the most possible source of info on project launch to save in our data.
The accuracy of our dataset is filtered and tested, updated, and improved based on new available techniques and community feedback on the current analysis state.
Adding more Al model sources to work with, following the latest powerful and most efficient ones, as it's moving very fast and exponentially.
Bringing partnerships to the Trigon ecosystem adds value and visibility to our project.
Exploring the listing of the Trigon token on some new centralized exchange Tier 1 or new blockchain AMM, potentially bridged on it to increase our growth.
Explore partnerships or integrations with existing DeFi platforms to expand the utility of $Trigon tokens, such as enabling them to be used in liquidity pools, lending, or yield farming.
Q2 2025:
Working on different sources of potential analysis to be improved or added, such as the Community analysis of projects or code source, etc.
Introducing new user interfaces and experience improvements based on community feedback and usability studies.
Enhancing Al models with machine learning techniques to predict market trends and provide more accurate project evaluations.
Evaluating and integrating emerging blockchain technologies and trends to keep the Trigon AI platform at the forefront of innovation.
Expanding the Trigon AI platform to support additional languages and regions, making it a truly global tool for crypto investment.
Strengthen security measures and conduct regular audits and updates to protect user database behavior data.
Q3 2025:
Implement Al-driven recommendations to suggest potential investment opportunities based on the user's past behavior and preferences, on the web application.
Set up a continuous feedback loop with the community to regularly update the Al models with new data and insights.
Implement A/B testing and other methods to continuously improve the platform based on user interaction and success rates.
Introduce DAD, where the community can propose and vote on new features or changes to the Trigon AI ecosystem.
Incorporating blockchain forensic tools to track projects' history and security, offering an extra layer of assurance and trust for investors, can be an extra note as a Certik dashboard.
Implement machine learning algorithms to predict the potential success of crypto projects based on historical data and trends.
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