Orbitrum roadmap and development progress

First version of "Tendance Crypto" in France

The core problem framing emerges around Web3 noise, low trust, fake signals, and the difficulty of identifying real early-stage potential.

Developement with wordpresse system

Using the simple technologie to built an MVP

Safer-entry concept for investors appears

A business hypothesis forms that less technical and more mainstream investors need a pre-filtered environment instead of raw crypto chaos.

Monetization thinking broadens beyond community activity

The project starts being thinkable as a premium information and intelligence product with paid insights, alerts, expert content, or API layers.

US-legible positioning begins to emerge

Messaging starts shifting toward concepts that resonate with US investors and operators: screening, intelligence, signal quality, and safer discovery.

Early project-screening logic is defined

Instead of exposing every project equally, the direction starts favoring pre-selection, curation, and signal quality.

Direction moves to be more international

The platform direction shifts away from be just in french and in France

MVP - 2crypto

Project scoring concepts become explicit

Scoring dimensions such as business potential, ecosystem fit, execution risk, and trustworthiness start defining the product direction.

2crypto Platform

Builder-expert-project matching becomes structural

Matching the right people to the right initiatives becomes a recurring product use case, not a side effect.

Shift from marketplace logic to intelligence logic

The real moat starts looking less like the crowd itself and more like the ability to extract, rank, and structure meaningful signals.

Human plus AI hybrid curation becomes a principle

A strong principle takes shape: AI should handle scale and first-pass filtration, while human experts add judgment where it improves trust.

Web3 is reframed as trust and reward layer

A deeper repositioning emerges: Web3 is not only the market served, but also the incentive and verification layer that can make collaboration work better.

Hybrid technical stack matures around monolith plus services

The platform direction aligns with a stack mixing a legacy monolith with a growing set of services using Docker, Redis, MySQL, and object storage.

CQRS begins shaping system design

Read and write concerns start being separated conceptually, showing the platform is evolving beyond simple application logic.

Redis Streams and event-oriented behavior gain weight

The product is increasingly conceived as a dynamic system where data flows, events, updates, and structured processing matter.

Kubernetes enters the long-term scaling path

The infrastructure direction shifts toward orchestration and service isolation, with Rancher and RKE2 later becoming central.

Orbitrum starts behaving like a future intelligence company

The business logic increasingly supports premium insights, expert-driven outputs, B2B layers, and ecosystem intelligence.

Social and content amplification enter the product vision

Expert voices, trusted content, and richer media become part of growth and product logic rather than just marketing extras.

Atlas starts emerging as the software core

The thinking shifts from the platform as a site toward the platform as an operating system for knowledge, screening, and strategic structuring.

Node-based knowledge model crystallizes

Work converges on structured information units rather than untyped notes, opening the door to reusable intelligence.

Cluster logic becomes a major abstraction

Atlas evolves toward reusable context packages that bundle related nodes with summaries, provenance, and richer operational meaning.

Publish core website sections directly from Atlas public views

Core public pages should be generated from structured Atlas views so the site becomes a living publishing surface instead of a parallel manual content system.

Canvas and Playground direction become explicit

Atlas is no longer only thought of as backend intelligence but as an interaction layer where users and AI can create and operate on structured knowledge visually.

AI gets a first-class role in authoring and curation

A decisive principle is established: humans should not become the bottleneck for node-level creation and maintenance.

Public/admin split starts taking shape

A strategic UX split appears between creation, extraction, management, and internal workflows on one side and public consumption on the other.

Timeline becomes a flagship public artifact

The roadmap and timeline stop being generic content pages and become living expressions of structured internal data.

Canonical node taxonomy expands significantly

The data model broadens toward a richer system including needs, research, decisions, approaches, roadmap items, milestones, and narratives.

MVP CREATION

We created the first Minimum Viable Product of 2crypto to validate the core concept of the platform. This MVP included the essential foundations required to evaluate companies and projects, structure key data, and demonstrate the value of the scoring and analysis system. The goal was to build a functional first version that could prove the product vision before moving toward a more complete and scalable platform.

Import and extraction workflows become part of the engine

Atlas is increasingly conceived as a place where external material can be extracted, reviewed, transformed into nodes, and reused in multiple views.

MVP to Full Product Buildout

With the MVP completed, the focus now shifts to building the full operational version of the Orbitrum platform. This milestone marks the transition from a validated initial product to a more complete, scalable, and structured platform. It includes the necessary restructuring of the product, technical foundations, user experience, services, and operational flows to support real users, commercial growth, and long-term platform development.

AI-search visibility becomes a strategic topic

A serious analysis starts around how Gemini, Grok, Perplexity, ChatGPT, and similar systems gather and use public web information.

FAQ and glossary stop being secondary

FAQ and glossary become strategically important because they help both users and AI systems understand what the company actually does.

Orbitrum emerges as the strongest market-facing direction

The company and website identity converge around Orbitrum while Atlas remains the software and product name.

Company News Feed

We created a continuous news feed system that collects external news from online sources and connects them to the companies listed on the Orbitrum platform. This feature allows users to follow what is happening around different startups and companies directly from the platform, with news updates linked to the relevant company profiles. The system is designed as a first version and will be improved over time to increase the quality, relevance, and accuracy of the news selection.

Rebranding - Orbitrum

We completed a full company rebrand, moving away from the ToutCrypto identity and launching Orbitrum as the new brand name. This change reflects a broader ambition: to expand beyond the crypto-only ecosystem and position the company as an international startup evaluation platform, open to a wider range of industries and innovation sectors.

Orbitrum Platform Adaptation for Web2 Startup Scoring

Alongside the rebrand to Orbitrum, we updated key parts of the platform to make the transition clear and functional. The platform was adapted to support the scoring of traditional Web2 startups, not only crypto-related projects. This included backend adjustments to evaluate Web2 companies properly, while ensuring that the new scoring capabilities remained fully compatible with the existing platform services and infrastructure.

Public Company & Stock Data Integration

We integrated publicly listed companies and stock market data into the Orbitrum evaluation framework. This milestone allows the platform to include companies with tradable shares and use relevant financial and market information as part of the evaluation process. By connecting company profiles with stock-related data, Orbitrum can provide a more complete view of public companies, combining business analysis, market signals, and company performance indicators.

Public Landing Page & Open Company Evaluations

We completely redesigned the Orbitrum website and landing page to make company evaluations publicly accessible. This update transforms the landing page into a public entry point where anyone can discover evaluated startups and companies, understand their scores, and access key insights without needing to be inside the platform first. The new website supports Orbitrum’s positioning as a transparent and accessible company evaluation platform.

Go-to-Market Readiness

With the MVP phase now completed, the focus shifts from building the core product to preparing Orbitrum for market entry. The platform is ready to move beyond internal development and begin actively reaching customers, subscribers, and partners. This milestone is about structuring the go-to-market foundation: clarifying the offer, preparing acquisition channels, refining messaging, and making sure the platform can support real users evaluating projects at scale.

Training Ethan scoring

Ethan learn how to improve for the phase of scoring

Payment Service Operational

We implemented and activated the payment service required to monetize the Orbitrum platform. This milestone ensures that users can subscribe, pay for access, and unlock the platform’s evaluation services through a reliable payment flow. The payment infrastructure is now connected to the product experience and ready to support customer acquisition, subscription management, and commercial launch activities.

UX/UI Optimization

We are improving the platform’s user experience and redesigning key visual elements to make Orbitrum clearer, smoother, and more intuitive for users. This milestone focuses on refining the customer-facing interface, improving navigation, simplifying interactions, and enhancing the overall look and feel of the platform. The goal is to ensure that users can access information, evaluate companies, and interact with the platform in the most efficient and pleasant way possible.

Referal - Community invite

Expert's Signup/Selling age

Go to market - Marketing

We are preparing the marketing foundation required to launch Orbitrum publicly and support customer acquisition. This milestone focuses on defining the key messages, positioning, communication channels, and marketing assets needed to present Orbitrum clearly to the market. The objective is to explain the platform’s value, attract the right audience, and create visibility around Orbitrum as a company evaluation platform.

Automatic Multilingual Evaluation Translation

We implemented automatic translation for company evaluations across multiple languages to make Orbitrum’s content more accessible to a wider international audience. This feature allows users from different regions to read and understand evaluations in their preferred language, improving the visibility and reach of the platform’s analysis.

KudoraChain - Scoring on Chain.

We will publish all platform scoring data on-chain through KudoraChain to increase transparency, trust, and verifiability across the Orbitrum ecosystem. This milestone ensures that company evaluations and scoring results are no longer only stored internally, but can also be anchored on a blockchain infrastructure, creating a more open and auditable evaluation process.

AI 2valuation assistant

History automatic Scoring

Liquidity Pool Fundraising Model

We created the foundation for a liquidity pool system designed to help selected projects raise funds directly through the Orbitrum platform. Inspired by a Kickstarter-style model, this feature allows the platform to support promising companies and startups by connecting them with potential contributors, investors, or supporters. The model is also designed to create new revenue opportunities for Orbitrum through platform fees, participation mechanisms, and potential equity or share-based upside.

Mobile APP -

We developed the Orbitrum mobile app to make the platform more accessible and easier to use across devices. The goal is to allow users to discover, follow, and evaluate projects directly from their phone, while keeping a smooth connection with the existing platform experience. This milestone extends Orbitrum beyond desktop usage and supports a more flexible, user-friendly access to the project evaluation ecosystem.

Atlas engine starts extending toward a Sentinel Copilot layer

The roadmap expands from structured knowledge and publishing into a consultable Copilot experience, with Sentinel positioned as the interface users interact with directly.

Sentinel starts grounding itself in gathered company data

The Copilot layer is designed to stay close to imported and continuously gathered company data so its answers are shaped by the organization's actual knowledge base.

Orbitrum deploys Sentinel as an internal AI Copilot

Orbitrum uses Sentinel on its own data first so the Copilot, workflows, and failure modes can be tested on a real company before being productized for others.

Sentinel gains voice-based interaction and consultative response loops

The Copilot is planned to support spoken conversations, spoken replies, and richer consultative interaction so it can behave more like a real working counterpart.

Browse Nodes, Manage Nodes, and Data Extraction are recognized as distinct surfaces

Atlas is increasingly understood as a multi-surface operating environment rather than a single canvas or single workflow.

Knowledge Hub, FAQ, and glossary become identity-building assets

These sections are no longer support pages. They become part of the product explanation layer, trust layer, and AI-readable layer of the business.

Projects gain the ability to import and continue enriching their own company data

The product direction expands beyond Orbitrum's internal usage toward letting projects bring in their own data, keep adding context, and build on top of it inside Atlas.

Atlas starts specializing project-specific AI Copilots from gathered data

Imported and continuously enriched company data is used to shape a more specialized AI layer so each organization can work with a Copilot grounded in its own context.

Projects can automatically export and operationalize AI-ready company knowledge

The longer-term goal is to let organizations export structured, created, and gathered Atlas data into workflows that can support training and operating their own AI systems.