Hyperscale is an AI platform that automates sales and marketing outreach by finding verified leads, researching them, and sending hyper-personalized emails and LinkedIn DMs.
Marketing & Salesgethyperscale.comTracked since 2026-08-211 discovery source
338Backlinks
98Referring domains
18Domain authority
+16.7%Referring domains · 90 days
Authority & distribution
How strong is Hyperscale’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
338Current snapshot
Referring domains
98Current snapshot
Authority
18Domain authority · category median 22
90-day move
+16.7%Referring domains, last 90 days
At 18, Hyperscale sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Hyperscale”
Hyperscale is an AI platform that automates sales and marketing outreach by finding verified leads, researching them, and sending hyper-personalized emails and LinkedIn DMs.
Marketing & SalesSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.gethyperscale.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Hyperscale.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Hyperscale do and what problem does it solve?
Hyperscale is an AI platform that automates sales and marketing outreach. It finds verified leads, researches them, and sends hyper-personalized emails and LinkedIn DMs to boost response rates and replace manual prospecting work.
What features or offerings does Hyperscale include?
Hyperscale includes features to find and verify leads across databases, deep research on each contact, AI-powered hyper-personalization of messages, and omnichannel campaign automation. It integrates with Gmail, Outlook, LinkedIn, and CRMs.
How is Hyperscale priced?
Hyperscale offers tiered monthly pricing plans starting at $39 per month, with a $149 per month option highlighted as most popular, and higher tiers at $599 per month.
What is Hyperscale used for and in what situations?
Hyperscale is used for automating omnichannel sales and marketing campaigns. It is suited for situations like B2B sales prospecting, finding customers for services or software, and running campaigns for industries such as real estate, healthcare, and marketing agencies.
Who is Hyperscale designed for?
Hyperscale is designed for sales and marketing professionals, including those in B2B services, B2B software, and various other industries like real estate and healthcare who need to find and contact verified leads.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Hyperscale intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured