AeroLeads maps 16 IT employee signals for Arc.dev. The strongest visible leadership sample is Maggie Chu (Senior Product Manager - Experienced with Both Hardware and Software (ai/ml)).
Arc.dev's IT Department
Maggie Chu
Senior Product Manager - Experienced with Both Hardware and Software (ai/ml)
1
0
Lead (2)
Maggie Chu
Senior Product Manager - Experienced with Both Hardware and Software (ai/ml)
1
0
Related company intelligence for Arc.dev
10 with employee estimates
10 with websites
10 with social profiles
3 peer evidence types
Peer evidence source coverage
3 source-backed evidence types support this related-company graph.
employee benchmarks, website records, and social profiles
Employee benchmarks
10 / 10
10 of 10 related companies include employee estimates.
Website records
10 / 10
10 of 10 related companies include official website records.
Social profiles
10 / 10
10 of 10 related companies include company social profile signals.
Peer link quality filter
High-confidence peer link set
10 related companies met the 2-signal peer-link threshold. Eligible peers average 4.0 source-backed signals.
10
eligible
0
filtered
4.0
avg signals
Peer comparison matrix
Limited peer comparison
Compares this company with related-company evidence across employee scale and peer graph evidence.
employee scale and peer graph evidence
Employee scale
Smaller than most related peers
This company
88 employees
Related peers
256 median peer employees
8 of 10 related employee-estimated peers are higher.
10 related companies with employee estimates
Peer graph evidence
Multi-signal peer benchmark evidence
This company
Partial peer evidence graph
Related peers
3 benchmark dimensions
Peer benchmark combines 10 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
employee benchmarks, website records, social profiles
Peer benchmark evidence
Multi-signal peer benchmark evidence
Peer benchmark combines 10 related companies with peer graph strength, size benchmark, and size position. Underlying peer graph includes 3 evidence types: employee benchmarks, website records, social profiles.
peer graph strength
size benchmark
size position
Peer position benchmark
Employee-scale peer position benchmark
Peer-position benchmark shows employee scale above 20% of 10 comparable related peers.
Directional peer-position evidence:
Peer-position evidence combines employee scale above 20% of 10 comparable related peers from related-company records.
Employee scale: 20%
Peer graph strength
Partial peer evidence graph
Related peer graph has employee benchmarks, website records, and social profiles across 10 related companies.
Peer median size
256 employees
Largest peer by size
Atlassian
17.62K employees
Arc.dev size signal
88 employees
Peer size comparison
8 larger · 2 smaller
Peer scale position
Smaller than most related peers
8 of 10 related employee-estimated peers are higher.
Arc.dev people graph sample
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Marek Publicewicz
Ruby on Rails / Wordpress / Cobol
Hermosa Beach, California, United States3 email signals across 3 non-official domains2 phone signals available
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Jayen Ashar
"Force Multiplier." Expert-vetted
Sydney, New South Wales, Australia3 email signals across 3 non-official domains1 phone signal available
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How AeroLeads builds company intelligence
Use source-backed company records
AeroLeads combines company source fields, workforce samples, email-pattern aggregates, and related-company records when those signals are available.
Show only available evidence
Blank source fields are omitted. Contact channels are summarized as signals, with raw email addresses and phone numbers masked on public pages.
Compare useful company context
Related company, market, workforce, technology, and management signals help turn a static company listing into a company intelligence page.
Contact research
AeroLeads intelligence
Review reachable contact coverage for Arc.dev
AeroLeads maps 2 visible contact signals for Arc.dev. Coverage is multi-channel contact coverage.