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Author @scaling_shields: Apollo is a 'spam trap' where every CEO/founder listed…

2026-08-05 · 18:04 UTC ·@scaling_shields ·3 min read

Brief

Scaling_shields argues that Apollo is effectively a spam trap — static lists that flood every CEO/founder with ~100 cold emails daily and produce only ~0.5% replies — and recommends replacing Apollo with six public, under-scraped sources that signal real buying intent. The six are USASPENDING.GOV (filter for $500k+ federal awards), Crunchbase funding rounds, BuiltWith technology lookups, LinkedIn job postings, SEC EDGAR filings, and G2/Capterra reviewer data; each source supplies concrete, machine-readable signals (contracts, raises, tech stack, hiring needs, regulatory disclosures, and verified buyers). The author outlines a 3-step playbook: pick 2–3 sources per ICP, automate weekly scraping with tools like Clay/Phantombuster/Apify and enrich with Hunter/Apollo, then reference the exact signal in outreach. Claimed outcome: 14,000 emails, 2.3% reply rate, 196 opportunities, and 103 booked calls in 12 days — framed as 10–20x better than Apollo.

Why it matters

Author @scaling_shields: Apollo is a 'spam trap' where every CEO/founder listed receives ~100 cold emails daily; Apollo-sourced outreach yields ~0.5% reply rate and is routinely deleted.

Key details

  • Switching to six public data sources produced measurable results: 14,000 emails sent, 2.3% reply rate, 196 opportunities, and 103 calls booked in 12 days (claim published 2026-08-05).
  • The six recommended sources and actionable signals: USASPENDING.GOV (company, contract value, award date — filter $500k+ wins), Crunchbase funding rounds (recent raises indicate deployable budgets), BuiltWith tech lookups (tech stack reveals priorities), LinkedIn job postings (open roles = explicit needs), SEC EDGAR filings (public vendor/partnership disclosures), and G2/Capterra reviewer data (reviewers have bought/are evaluating and are contactable).
  • Operational playbook: pick 2–3 sources by ICP (examples given), automate scraping with Clay/Phantombuster/Apify, enrich with Hunter/Apollo for emails, and reference the specific signal in outreach (e.g., 'saw you closed a $1.2M DoD contract') to achieve estimated 10–20x response over static Apollo lists.
Source evidence

apollo isn't a lead source

it's a spam trap

every "ceo" and "founder" in there gets 100 cold emails a day

yours is #98

you're not competing. you're being deleted.

i booked 103 calls in 12 days by switching to 6 public databases your competitors ignore

here's the exploit:

  1. USASPENDING .GOV

every company that's won a federal contract is listed publicly

company name, contract value, service type, award date

filter by your industry
find companies that just received $500k+ contracts
they have confirmed budget and they're actively building

free database. exposed to everyone. scraped by almost nobody.

  1. CRUNCHBASE FUNDING ROUNDS

companies that just raised = companies that are spending

series a = hiring vendors
series b = scaling operations
seed = desperate for help

a company that raised $5m last week has $5m to deploy

and they're not getting 100 cold emails a day about it

  1. BUILTWITH TECHNOLOGY LOOKUPS

find every company using a specific tool

using klaviyo → they care about email marketing
using hubspot crm → they have a sales team
using shopify plus → they're doing $1m+ revenue

their tech stack is a public confession of their priorities

  1. LINKEDIN JOB POSTINGS

companies hiring for [role] = companies that need [thing]

posting for "head of growth" → they need growth help
posting for "sdrs" → they need leads
posting for "marketing manager" → they need marketing

the job post tells you exactly what they're struggling with

and they posted it publicly

  1. SEC EDGAR FILINGS

public companies are legally required to disclose vendors, partnerships, and strategic priorities

search for your industry keywords
find companies actively investing in your space
email the decision makers

this data exists because the law requires it

nobody reads it

  1. G2/CAPTERRA REVIEWER DATA

people who reviewed competitor products:

  • have budget (they bought something)
  • are actively evaluating (they're comparing)
  • are reachable (their linkedin is attached)

scrape the reviewers. find their emails. reach out.

the math:

apollo inbox:

  • they receive 100 cold emails daily
  • yours is noise
  • 0.5% reply rate

public database inbox:

  • they receive 0-1 cold emails monthly
  • yours is the only one
  • 5-12% reply rate

same email. 10-20x response.

why this works:

apollo = static list everyone bought
public databases = real-time intent signals nobody watches

company won a $2m government contract? → spending
company raised series a? → hiring
company posted 3 sales jobs? → needs pipeline

you're not guessing anymore

the data tells you who's ready to buy

how to run this:

STEP 1: PICK 2-3 SOURCES FOR YOUR ICP

b2b services → usaspending + linkedin jobs
saas companies → crunchbase + builtwith
agencies → g2 reviewers + funding data

STEP 2: AUTOMATE THE SCRAPING

clay, phantombuster, apify
pull the data weekly
enrich with hunter/apollo for emails

STEP 3: REFERENCE THE SIGNAL

"saw [company] just closed a $1.2m dod contract"
"noticed you raised your series a last month - congrats"
"saw you're hiring 3 sdrs - pipeline must be top priority"

this isn't personalization

it's showing them you know something

results from this switch:

  • 14,000 emails sent
  • 2.3% reply rate
  • 196 opportunities
  • 103 calls booked
  • 12 days

apollo is a spam trap disguised as a lead database

these 6 sources are public, free, and ignored

your competitors will keep fighting over the same 100-email inboxes

you can just go where nobody's looking

your move

p.s. if you want me to build you a cold email system using untapped lead sources, dm me "UNTAPPED"

i'll show you exactly how we'd find leads for your niche that nobody else is emailing