Deal Star

dealstar.io

renewables & environment

dealstar.io

1-10 employees

LinkedIn Profile

About Deal Star

services for renewable energy, renewables & environment

Deal Star's Tech Stack

Decision Makers at Deal Star

1 contact

Andrew Dubinsky

Vice President of Business Development

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6 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Deal Star uses Cloudflare DNS, Gmail, Google Apps among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

Deal Star's Position in the StackWho Database

• Deal Star is 1 of 3,226 renewables & environment companies tracked in StackWho.
• 3,219 renewables & environment companies in our database have verified decision-maker emails (100% of the cohort).
• 1,266 renewables & environment companies are in the 1-10 employee range (same size as Deal Star).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does Deal Star use?

Deal Star uses Cloudflare DNS, Gmail, Google Apps, Ruby On Rails, Google Tag Manager, Mobile Friendly. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Deal Star?

StackWho has verified email addresses for 1 decision maker at Deal Star. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Deal Star directly for sales, recruiting, or partnerships.

What industry is Deal Star in?

Deal Star operates in the renewables & environment industry. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Deal Star's contact data?

Yes. StackWho Pro members can export decision maker contact data for Deal Star and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.