projects/esferas-io
Artificial Intelligence#95 BY REVENUE
Esferas.io

Esferas.io

US· Mar 2021· via stripe
$12K
Revenue · 30d
$814K
Total lifetime
$139K
Est. ARR
Revenue trend
JUN 19
start
JUN 22
JUN 29
1.1%
JUL 6
3.8%
JUL 13
unchanged
JUL 20
next
no change recorded across the last 2 snapshots · figure may be stale at the source
https://www.esferas.io
Esferas.io
REVENUE VERIFIED
Top ranked

About Esferas.io

Esferas.io offers a LinkedIn automation tool designed to help users expand their professional networks and generate quality leads while adhering to LinkedIn's policies. The platform allows users to run prospecting and recruiting campaigns within LinkedIn's daily limits, ensuring that accounts remain in good standing. Users can track key metrics such as accepted invites and replies, making it easier to optimize outreach efforts.

The service is tailored for various roles, including recruiters, prospect generators, and job seekers, providing personalized demos based on user needs. Notable featur…

VibeCrowd AI
Investment companion
AI analysis
Esferas.io is a revenue-stage AI tool automating LinkedIn interactions, producing $11,622 in the last 30 days with an MRR of $15,902 and recent growth of +8%.

Esferas is a focused automation play — revenue-stage, founded in 2021, and showing healthy subscription scale and momentum given its $15,902 MRR and positive +8%. Those figures point to a working product-market fit for teams that rely on LinkedIn outreach.

The main business risk is platform dependency: LinkedIn policy or technical changes can quickly change deliverability and customer outcomes for automation tools. Also, the fact that MRR is larger than last-30-day revenue suggests billing timing or recent churn dynamics that deserve a quick reconciliation before drawing conclusions about forward revenue stability.

Strengths

Clear product focus: automating LinkedIn interactions for B2B outreach
Revenue-stage with paying customers and a subscription base, shown by MRR $15,902
Positive recent traction: +8% growth in the last 30 days
Operational history (founded in 2021) — not a brand-new experiment

What to watch

Strong dependence on LinkedIn means regulatory/technical changes can materially impact the business
MRR exceeding last-30 revenue: investigate billing cadence, churn or one-off billing effects
Customer retention, acquisition cost, and concentration are key levers to verify unit economics
Reputational and deliverability risks common to outreach automation should be managed carefully

Best suited for

B2B sales teams that use LinkedIn for outbound prospecting
Growth agencies and consultants offering LinkedIn-based lead generation
Startups or SMBs looking to scale LinkedIn outreach without building in-house tooling

A judgment from project data — not a user review.

Generated by VibeCrowd AI from on-platform data·not financial advice·Jul 2026

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