O Xooriq é uma alternativa ao Apollo.io?

Sim. Cobre prospecção B2B (Google Maps + email finder + monitoramento) a partir de R$597/mês, versus US$2.500/mês médio Apollo. LGPD nativo + CNPJ Brasil.

O Xooriq é LGPD-compliant?

Sim. Processamento de dados B2B públicos sob LGPD com legítimo interesse e opt-out automático.

Quanto custa um crédito extra?

R$0,09 por crédito acima do limite do plano.

Sim, free tier com 100 leads/mês sem cartão de crédito.

Em quais regiões opera?

8 regiões com paridade de poder de compra: Brasil, USA, Índia, EU, Reino Unido, México, Japão, Austrália.

Quem é a empresa por trás do Xooriq?

Xooriq é um produto da Central Fox Tecnologia, mesma empresa do FOX NF-e (emissor fiscal para SaaS brasileiros em foxnfe.com.br) e da plataforma de IA para e-commerce em centralfox.online.

What is shared cache in Xooriq's architecture?

Shared cache means 1 crawl benefits N customers. Xooriq runs FoxScraper once per company, stores the result encrypted in PostgreSQL (Fernet AES-128), and serves ALL customers via cache hit (median latency 12ms). Apollo and Apify charge each customer for the same crawl — economically inferior model.

Why is this unfair advantage and not just a feature?

Unfair advantage (Ash Maurya's Lean Canvas term): an edge competitors can't easily copy. Apollo's $150M ARR is built on per-seat pricing — switching to shared cache would break their pricing model. Apify charges per compute unit; shared cache would destroy marginal revenue. For Xooriq, shared cache is structural from day 1 — a ~3-year engineering moat.

How does shared cache affect my price?

Directly: Xooriq charges $89/month flat while Apollo charges ~$2,500/month average per paying account ($150M ARR / 5,000 customers). 28× cheaper. For 10k leads/month, annual savings ~$30k vs Apollo. Shared cache is what enables the pricing.

Does the cache become stale?

Xooriq uses intelligent TTL: stable data (legal name, CNPJ, address) 90-day cache; volatile (estimated revenue, partners, decision-maker) 14-day cache; ultra-volatile (product pricing, job postings) 24h cache. When TTL expires, FoxScraper auto-recrawls. Customers never see >14-day-old B2B contact data.

And privacy — does shared cache expose my data?

No. Shared cache refers to public data (CNPJs, institutional sites). Your own data (imported lists, CRM annotations, custom lead scoring) lives in tenant-isolated namespace, Fernet AES-128 encrypted with unique key per Enterprise customer. Shared cache = public inputs. Customer privacy = preserved.

Shared cache: the unfair advantage making Xooriq 25 times cheaper than Apollo

1. "Unfair advantage" from Lean Canvas

In Running Lean (2010), Ash Maurya popularized unfair advantage — the last block of the Lean Canvas, usually the hardest. Literal definition: "something that cannot be easily copied or bought."

Tesla: Supercharger network + driving data (not buyable)
Stripe: developer-first DX + banking deals (years to replicate)
Notion: community + user-generated templates (network effect)

Shared cache for B2B data fits: structural architecture incumbents can't adopt without breaking their own business model.

2. Why Apollo can't copy

Apollo.io operates per-seat: $79/month/user (Custom). 5,000 paying customers × ~$500/month/company (multi-seat) = $150M ARR(source: GetLatka).

If Apollo adopted shared cache + $89/month flat:

92% revenue loss — high-paying customers would drop to $99
Enterprise SLAs broken — Custom customers have "fresh data per seat" guarantees
Pricing power gone — market would price all B2B data below $50/seat

This is Christensen's Innovator's Dilemma: the structural incumbent cannot self-cannibalize. Xooriq can offer shared cache from day 1 because there's no legacy revenue to protect.

3. The cache hit math

Marginal cost per query

# Xooriq cache hit (PostgreSQL + Fernet decrypt)
Latency: 12ms (p50) / 38ms (p99)
CPU: 0.0001 cores
RAM: 4 KB
Cloud cost: $0.0006 per query

# Apify equivalent (compute unit)
Latency: 8-45 seconds (actor cold start)
CPU: 0.5-2.0 cores per actor
RAM: 512 MB - 2 GB
Cloud cost: $0.40 per CU

# Cost ratio
$0.40 / $0.0006 = 666× more expensive in Apify model

4. How Xooriq keeps cache fresh

Data type	TTL	Refresh strategy
Legal name + CNPJ + address	90 days	Receita Federal webhook when active
Estimated revenue + partners	14 days	BNDES cron + Junta Comercial
Decision-maker + email + LinkedIn (public)	14 days	FoxScraper institutional site
Job postings + tech stack	24h	Daily crawl Gupy, Vagas.com, Wappalyzer

5. Privacy: shared cache ≠ shared data

Common confusion: customers think "shared cache" exposes customer A's lead list to customer B. False.

# What IS shared (public, low risk)
- CNPJ 12.345.678/0001-90 → legal name, address, partners
- xooriq.com → tech stack: Next.js, Tailwind, PostgreSQL
- Job at xooriq.com → "Senior Backend Engineer · Remote"

# What is NOT shared (private, high risk)
- Your imported CSV list
- Your CRM annotations
- Your custom lead scoring
- Your outreach sequence
- Your sent emails

6. The moat over time

Day 1: cache covers 1M Brazilian CNPJs (top by search frequency)
Month 6: cache covers 5M CNPJs (regional B2B customers)
Year 1: cache covers 13.3M CNPJs (full active Receita Federal)
Year 2: cache includes MEI, ME, historic inactives

A new competitor would start from zero. Xooriq has a ~12-month cache lead.

7. Sources

Shared cache is our unfair advantage. Use it while Apollo sleeps.

$89/month · 13.3M companies · 666× cheaper than Apify · LGPD by design.

See full pricing