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?
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.
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.
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.
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.
Discover potential clients when they need you the most.
Initial planning, writing initial scraper code.
Implementation of basic framework structure and fetching simple chat/channel attributes in Telegram.
Implementation of more complex features like sentiment analysis and whitepaper summarization. Writing module to detect data from pie charts via OCR.
Start writing code for competitor analysis, category labelling and roadmap analysis.
Bugfixing, data collection and optimization as well as business planning.
Definition of a sustainable business model. Team selection, creation of the project website, whitepaper and pitchdeck. Incubation by Scaleswap.
Team onboarding. Training and testing first startup success prediction model.
Perfection of business model, website, whitepaper and pitchdeck. Improvement of startup success prediction AI model. Launch of MVP web application. Further data mining. Legal setup.
Start of seed funding round. Migration of software to AWS. Scraper optimization. Further development of AI models.
Onboarding first users. Adding and improving features. Extend the amount of sources for data mining.
Optimizing data accuracy. Improving and adding features according to customer feedback. Exploration and planning to start the application and brand StartupSearchTools as a generalization of CryptoSearchTools for startups from all market sectors.