To celebrate the return of HackerNoon Startups of the Year we've open sourced our previous Startup of the Year votes. This dataset includes every city above half a million ppl, tens of thousands of startups with meta data like homepage and company description, as well as, 600k+ votes for these startups on HackerNoon.

Learn more about startups, tech company media coverage, and business blogging.

Discover Startup Data for technology startups globally with Success.ai. Gain access to verified company data, including firmographic data, employee counts, and funding insights. Best price guaranteed.

This dataset consists of state and industry wise number of startups that gained DPIIT's recognition since inception in 2016.

Note: According to DPIIT‚ As per the Manual for Procurement of Consultancy and other services, an entity should not have completed ten years from the date of its incorporation/registration and its turnover for any of the financial years since incorporation/registration should not have exceeded one hundred crore rupees to get recognized as startup by the department. This recognition is necessary to avail the benefits under various schemes and seek assistance of the government.

In 2023, San Francisco Bay, CA had the highest total startup score of any city in the United States at ******. The total startup score is a sum of quantity, quality, and business environment evaluations that determines the best place for startup businesses to take root. New York City, NY had the second highest score at ****** in 2023.

Startup

## Overview

Startup is a dataset for object detection tasks - it contains Startup annotations for 231 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

We will create a customized startups dataset tailored to your specific requirements. Data points may include startup foundation dates, locations, industry sectors, funding rounds, investor profiles, financial health, market positions, technological assets, employee counts, and other relevant metrics.

Utilize our startups datasets for a variety of applications to boost strategic planning and innovation tracking. Analyzing these datasets can help organizations grasp market trends and growth opportunities within the startup ecosystem, allowing for more precise strategy adjustments and operations. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing competitive analysis, identifying emerging market trends, and finding high-potential investment opportunities.

************** was the highest ranked startup ecosystem worldwide in 2024. The area located in the ***************** hosts some of the largest tech companies in the world, including Apple and Alphabet, scoring high on all five dimensions of the ranking. ******************* followed behind.

Dataset

This dataset was created by Rahul Mahajan

Contents

Analyze 2023 startup staffing trends: Enterprise Tech 30 data reveals 57% headcount growth, R&D ratios, and hiring patterns across growth stages.

Success.ai’s Startup Data for Technology Startups Worldwide provides a comprehensive dataset to help businesses, investors, and service providers connect with innovative tech startups across the globe. With access to over 170 million verified professional profiles and 30 million company profiles, this dataset includes detailed firmographic data, funding insights, and employee information. Whether you’re targeting early-stage ventures, scaling startups, or established unicorns, Success.ai ensures your outreach and strategic planning are informed by reliable, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to engage meaningfully with the technology startup ecosystem.

Why Choose Success.ai’s Technology Startup Data?

1. Comprehensive Startup Insights

   • Access verified data on company size, founding dates, technology focus areas, geographic locations, and funding stages.
   • AI-driven validation ensures 99% accuracy, minimizing wasted outreach and guiding confident engagement.

2. Global Coverage of Technology Startups

   • Includes profiles of tech startups specializing in SaaS, AI, FinTech, e-commerce, HealthTech, IoT, cybersecurity, and more.
   • Covers key innovation hubs such as Silicon Valley, Bangalore, London, Berlin, Singapore, and emerging markets worldwide.

3. Continuously Updated Datasets

   • Real-time updates reflect new funding rounds, product launches, leadership changes, and expansion activities.
   • Stay aligned with the fast-paced startup ecosystem to identify opportunities and build relationships at the right time.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible data usage and compliance with legal standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with founders, co-founders, CEOs, CTOs, and decision-makers in technology startups worldwide.
• 30M Company Profiles: Gain insights into startup firmographics, including size, industry focus, and operational footprint.
• Funding Insights: Access data on seed, Series A, Series B, and other funding rounds, along with investor details.
• Employee and Organizational Data: Understand team compositions, growth trajectories, and hiring trends for better engagement.

Key Features of the Dataset:

1. Startup Decision-Maker Profiles

   • Identify and connect with founders, product leads, technology architects, and business development managers driving growth in tech startups.
   • Engage with professionals making critical decisions about partnerships, procurement, and market expansion.

2. Funding and Investment Data

   • Access insights into recent funding rounds, investor portfolios, and funding sources (venture capital, angel investors, private equity).
   • Tailor outreach based on funding stage, ensuring relevance for services like advisory, recruitment, or technology solutions.

3. Advanced Filters for Precision Targeting

   • Filter startups by industry vertical, funding stage, geographic location, company size, or growth metrics.
   • Align campaigns with unique startup challenges, such as scaling operations, building MVPs, or achieving market fit.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow you to craft personalized messaging, showcase relevant value propositions, and enhance engagement with startup leaders.

Strategic Use Cases:

1. Investor Relations and Funding Opportunities

   • Connect with founders and executives preparing for fundraising rounds or seeking strategic investment partnerships.
   • Identify high-growth startups for venture capital, angel investing, or co-investment opportunities.

2. Sales and Lead Generation

   • Present SaaS solutions, infrastructure tools, or marketing services tailored to startup challenges, such as scaling, market entry, or user acquisition.
   • Build relationships with startups that align with your product offerings and service capabilities.

3. Strategic Partnerships and Ecosystem Building

   • Engage startups developing complementary technologies or exploring strategic alliances in innovation ecosystems.
   • Identify early-stage companies to co-develop products, expand market reach, or enhance technology stacks.

4. Recruitment and Talent Solutions

   • Offer staffing services, recruitment platforms, or HR solutions to fast-growing startups scaling their teams.
   • Engage with hiring managers or founders seeking skilled professionals to support product development or market expansion.

Why Choose Success.ai?

1. Best Price Guarantee

   • Gain access to premium-quality verified data at competitive prices, ensuring optimal ROI for outreach and strategic initiatives targeting startups.

2. Seamless Integration

   • Integrate verified startup data into your CRM or marketing platforms via APIs or d...

Every year since 2020, The Information selects 50 companies that have the potential to be the most valuable businesses in their categories based on their current revenue, business model, and growth prospects. To build the list, our reporters consulted industry sources and gathered previously undisclosed financial information. We limited the list to startups that had raised less than $100 million in funding or began operations within the last two years.

Analyzing the Bay Area startup ecosystem: Despite declining round share, SF startups raised $126B in 2021 - matching total US funding from 2019. Data reveals surprising growth.

Glavin001/startup-interviews dataset hosted on Hugging Face and contributed by the HF Datasets community

As of July 2021, the startup accelerator in the United States with the highest number of startup alumnus exits was Y Combinator, which is a seed money startup accelerator. The number of exits completed by startups - including Stripe, Airbnb, and Dropbox - accelerated by Y Combinator reached 351 as of mid-2021. Participating in an accelerator program tends to increase the amount of equity startups raise, though there are differences between male- and female-led startups.

1) Data Introduction • The Crunchbase company Data includes a variety of startup-related data, including startup enterprise information, year of establishment, investment history, and industrial sector released by Crunchbase.

2) Data Utilization (1) Crunchbase company Data has characteristics that: • This dataset provides a variety of attributes that can impact the growth and success of a start-up, including company name, year of establishment, location, industry, investment stage, investment amount, and investors. (2) Crunchbase company Data can be used to: • Development of Startup Success Prediction Model: By utilizing key attributes such as the year of establishment, investment history, and industrial sector, we can build a model that predicts a startup's chances of success. • Venture investment and market analysis: It can be used to identify venture investment strategies and market trends by analyzing startup distribution and growth patterns by investment stage and industry.

Dataset

This dataset was created by Sharan k

Contents

Dataset

This dataset was created by Miguel De Frutos

Contents

Startup Indicators: Fundation: 1 Year data was reported at 14.400 % in 2023. This records a decrease from the previous number of 15.300 % for 2022. Startup Indicators: Fundation: 1 Year data is updated yearly, averaging 15.300 % from Dec 2021 (Median) to 2023, with 3 observations. The data reached an all-time high of 21.600 % in 2021 and a record low of 14.400 % in 2023. Startup Indicators: Fundation: 1 Year data remains active status in CEIC and is reported by Brazilian Association of Startups. The data is categorized under Brazil Premium Database’s Investment – Table BR.OH004: Startups: Profile of Startup Founders.

Discover how founder equity stakes have evolved: CEOs now retain 30-33% more equity through Series A/B rounds, based on analysis of 200+ startups per year.

Startup Indicators: Players Relation: Public Sector data was reported at 18.900 % in 2023. This records a decrease from the previous number of 32.600 % for 2022. Startup Indicators: Players Relation: Public Sector data is updated yearly, averaging 25.750 % from Dec 2022 (Median) to 2023, with 2 observations. The data reached an all-time high of 32.600 % in 2022 and a record low of 18.900 % in 2023. Startup Indicators: Players Relation: Public Sector data remains active status in CEIC and is reported by Brazilian Association of Startups. The data is categorized under Brazil Premium Database’s Investment – Table BR.OH006: Startups: Segment.