Hashboard

Hashboard

About Hashboard

Simplify's Rating
Why Hashboard is rated
C+
Rated D+ on Competitive Edge
Rated A on Growth Potential
Rated C on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

Company Size

11-50

Company Stage

Seed

Total Funding

$6.8M

Headquarters

Town of Clarkstown, New York

Founded

2019

Overview

Company Does Not Provide H1B Sponsorship

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing market for data democratization tools boosts Hashboard's potential.
  • Rise of data lakehouses creates opportunities for Hashboard's integration tools.
  • Increased interest in innovative data solutions aligns with Hashboard's offerings.

What critics are saying

  • Emerging competitors like Glean could challenge Hashboard's market position.
  • Innovative solutions from competitors may overshadow Hashboard's offerings.
  • Market saturation with traditional platforms may limit Hashboard's growth.

What makes Hashboard unique

  • Hashboard focuses on modern data architectures like data lakehouses.
  • It offers unique integration capabilities for data democratization.
  • Hashboard targets innovative solutions beyond traditional platforms like Tableau and Power BI.

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Funding

Total Funding

$6.8M

Above

Industry Average

Funded Over

1 Rounds

Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Above Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood
$7M
Hashboard

Benefits

Stock Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

↑ 5%

1 year growth

↑ 5%

2 year growth

↑ 12%
TechCrunch
Mar 30th, 2022
Glean Raises $7M To Democratize Data Insights

Youd think data visualization and exploration is a bit of a solved problem thanks to the likes of Tableau, Sisense, Looker, Microsoft Power BI and their competitors. But for the most part, these tools were developed before every company had a data lake and warehouse let alone a lakehouse. Of course, that means there []

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