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Discover competitors and lookalike companies with this feature-rich command-line interface. Export data in multiple formats and integrate seamlessly into your business intelligence workflows.
A new markup-based typesetting system that is powerful and easy to learn.
LLM Benchmarks for everyday business intelligence tasks / company data: Embedding Evaluation. Embedding Classification.
πͺ Markdown with superpowers β from ideas to papers, presentations and books.
An implementation of the JSON Schema specification for Python
A declarative, π»ββοΈ-native data frame validation library.
The official repository of Mozilla's Firefox web browser.
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun βno,β or want to simulate being turned down in style.
GenSON is a powerful, user-friendly JSON Schema generator built in Python.
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
Tool that generates AI startup investment memorandums
Automagically reverse-engineer REST APIs via capturing traffic
The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source β¦
A Large-Scale Company Relation Graph for Investment Industry
Find similar startups with our API and OpenAI's embeddings
Apache Pulsar - distributed pub-sub messaging system
Web scraper with a simple REST API living in Docker and using a Headless browser and Readability.js for parsing.
π€ A CLI application that automatically prepares Android APK files for HTTPS inspection
π½ framework to integrate StartupRadar's data into your systems (CRM, Spreadsheets, Task Managers)
Prevents your Mac from going to sleep.
ICAIF 2021 Paper "A Machine Learning Approach to Detect Early Signs of Startup Success"
Contains information for the AAAI-KDF'20 paper "The Automated Venture Capitalist".
Predicting the likelihood of success for startups and their founders