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The platform
with intelligence
on early-stage
blockchain
start-ups

Keep ahead · Break down barriers
Use analytics · Get predictions

Revolutionize Your Investment Strategy with Data-Driven Insights and AI-Powered ROI Predictions for Early-Stage Tokenized Startups

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PROBLEMS
OF INVESTORS

  • Lack of intuitive research tools

  • No Available platforms for sourcing that fits their specific needs

  • Difficulty to forecast ROI

  • What metrics to look at?

  • How to conduct Real-time data analysis & measure Success traction?

problems of investors
graphic solution overview

SOLUTION OVERVIEW

CryptoSearchTools takes investors out of the guessing game

The Data Aggregation Engine finds new startups as soon as they are mentioned for the very first time on social media, and its input is used by the Data Analysis Engine to produce a report containing relevant metrics and a ROI prediction.

SOLUTION FOR

Venture capital

VENTURE CAPITALS

Find blockchain startups with good fundamentals while they are still accepting seed and private investments. Get AI-powered ROI predictions and make informed, data-driven investment decisions.

Retail

RETAIL INVESTORS

Find IDOs from your favourite market sector within seconds. Use our dashboard to quickly discover all resources provided by a company to do your research.

Startup

STARTUP COMPANIES

View your own scores and competitors in order to identify and fix your weak points. Post ads and job offers on our platform to attract the people you need. Find the right promoters for your project and compare them using unbiased metrics.

Company service

SERVICE COMPANIES

Discover potential clients when they need you the most.

problems of investors

ROADMAP

2021

  • Q2

    Initial planning, writing initial scraper code.

  • Q3

    Implementation of basic framework structure and fetching simple chat/channel attributes in Telegram.

  • Q4

    Implementation of more complex features like sentiment analysis and whitepaper summarization. Writing module to detect data from pie charts via OCR.

2022

  • Q1

    Start writing code for competitor analysis, category labelling and roadmap analysis.

  • Q2

    Bugfixing, data collection and optimization as well as business planning.

  • Q3

    Definition of a sustainable business model. Team selection, creation of the project website, whitepaper and pitchdeck. Incubation by Scaleswap.

  • Q4

    Team onboarding. Training and testing first startup success prediction model.

2023

  • Q1

    Foundation & Refinement
    Business Model refined to align with the startup's vision and goals.
    Website & pitch deck Improvement.
    Improved startup success prediction AI model for more accurate results.

  • Q2

    Technical Advancements
    Software transitioned to AWS for enhanced scalability and performance.
    Further development and refinement of AI models for better startup analysis.

  • Q3

    Technical Advancements
    New minor features introduced and existing ones refined.
    Increase the volume of data mining to capture a wider range of startups.
    Start of the integration process with large language models (LLM) to enhance CST's capabilities.

  • Q4

    Technical Advancements
    Seed Fundraising started to support the MVP and future developments.
    Official public launch of the MVP web application and onboarding the first set of users to the platform.
    Introduction of analytics for team performance and insights.
    Start improving and adding features according to customer feedback.
    Concluding strategic partnerships.

2024

  • Q1

    Diversification & Technical Enhancement
    Extend the amount of sources for data mining and optimizing data accuracy.
    Finetune LLaMa2 for success predictions based on text input.
    Implement downloadable cryptographically signed PDF reports to provide verifiable and tamper-proof success predictions.
    Mobile UI/UX improvements to cater to a growing mobile user base.

  • Q2

    Advanced Analytics & Revenue Generation
    Implementing tokenomics analytics, market sector classification, and competitor analysis AI models
    Introducing Visual Quality Grading AI model to grade the visual quality of online presence for startups
    Transition from relative success scores to absolute ROI predictions and in-depth risk analysis
    Start of revenue generation through the VC plan

  • Q3

    Market Expansion & Branding
    Refine platform features based on user feedback
    Introduce a retail plan to cater to a broader audience
    Expanding to all market sectors, adding traditional web2 startups' scoring under the brand StartupSearchTools
    Increase marketing activities to enhance brand visibility and user acquisition

  • Q4

    Financial Stability & Future Planning
    ieve a cash flow positive status, ensuring the financial stability of the platform.

THE TEAM

Elias Hohl

Elias Hohl

CEO & CTO, Co-Founder

Stanislav Stolberg

Stanislav Stolberg

Co-Founder

Filip Sokol

Filip Sokol

Senior Venture Analyst

Mike Barskiy

Mike Barskiy

Senior Project Manager

Mikhail Zolotko

Mikhail Zolotko

Data Scientist

Theo Lequy

Theo Lequy

Software Engineer

Jakub Niewczas

Jakub Niewczas

Software Engineer

Ben Flowers

Ben Flowers

Head of Sales and Business Development

Diana Doroshuk

Diana Doroshuk

Community Manager

David Markina

David Markina

Head of Design

ADVISORS

Ron Lahirih

Ron Lahirih

Founding Team Member & Advisor

Evgeni Bezugliy

Evgeni Bezugliy

Technical Advisor

Georg Brameshuber

Georg Brameshuber

Legal Advisor

Ralf P. Gerteis

Ralf P. Gerteis

Strategic Advisor

PARTNERS

ETH AI Center
dmany scaleswap hacken validvent ovhcloud nxgen

CryptoSearchTools AG
Grabenstrasse 15a
6340 Baar
Switzerland

  • Incubated by scaleswap logo