The revenue checks out β but it rests on LinkedIn's terms of service
Open the real page βprosp.ai Β· alive as of 2026-08-31
A tool that writes and sends personalised LinkedIn outreach automatically. Its MRR of $128,005 across 1,108 subscriptions was read through a Stripe connection. π΄ The vendor's own page says it attaches a dedicated residential proxy and paces activity like a human to stay under LinkedIn's thresholds β avoiding detection is a feature. We are not publishing this as something to copy.
In plain words
It writes cold sales messages on LinkedIn and sends them for you. About $128,000 a month was confirmed through the payment system. β οΈ But LinkedIn forbids this kind of automation, and the company itself says it is tuned to stay under the limits. We are publishing it so you understand the risk, not so you copy it.
The whole thing at a glance
To whom
B2B sales teams
What
Micro-SaaS
Found how
Using the tool to find its oβ¦
Paid how
Monthly subscription pricedβ¦
Flow: To whom, then What, then Found how, then Paid how
- Founder
- Yann Dine
- Country
- FR
- Team
- β
- Startup cost
- β
- To first revenue
- β
- Automation
- high
- Reported revenue
- $128,005MRR Β· 2026-02
What is sold
Monthly subscription priced per connected account, cheaper in volume
Checked on the official site 2026-08-31 β per account: 1β5 at $79.99/mo Β· 6β30 at $59.99/mo Β· 31+ at $39.99/mo. Annual billing saves about 23%. Free trial with no card. β The cross-check holds β MRR $128,005 Γ· 1,108 subscriptions = about $115.5 per subscription. Since the top per-account price is $79.99, that implies each subscription carries roughly 1.4 accounts or more, which fits the pricing structure.
Who buys
B2B sales teams, recruiters, and agencies running outbound for clients
What arrives is not what you keep
- What the customer paidThe number on the invoice
- AI toolsA share of the monthly subscription
- Platform feeDiffers by platform
- TaxDiffers by country and business form
- What is leftAt or below zero, it is not a price
This case does not publish its own tool costs, fees or tax. So we show the order and the items only β put your own numbers into the calculator.
AI's part and the person's part
Already had
Built by someone who knows B2B outbound. Started in August 2025 and reached this scale within about six months; that pace requires already knowing who is out there and what they respond to. β οΈ The same founder also runs Speel.co β this is not one person betting everything on one product.
If this is large, the AI is not the reason
What the AI did
It reads each recipient's profile and writes a different message for each one. Where older bulk tools swapped in a first name, this builds sentences from the person's history and posts. AI is used to raise the odds of a reply.
the part a tool replaced
What the person did
A human still chooses the target list and the offer. Managing send rates and limits so accounts are not locked is also operator work β and that part is both the substance of the product and the source of its risk. β οΈ How many people run it has not been disclosed. Undisclosed means undisclosed, not "probably one person".
stories that omit this do not replicate
How customers were found
Using the tool to find its own customers β the sales method is the product
Free trial with no card required
Agencies running many accounts, which the volume tiers are aimed at
Paying customers
Checked on the official site 2026-08-31β¦
Flow: Using the tool to find its own customers β the sales method is the product, then Free trial with no card required, then Agencies running many accounts, which the volume tiers are aimed at, then Paying customers
How we verified this
Verified by a third party, e.g. payment-processor data
π΄ First β this is not a current figure. The TrustMRR page states "Stripe API key expired. Data last updated Feb 5, 2026". The number came out of a payment system but is a snapshot frozen on 5 February 2026, so we record the period as 2026-02. Confirmed (as of 2026-02-05) β MRR $128,005 Β· active subscriptions 1,108 Β· all-time $507,250. β Cross-check β the implied $115.5 per subscription is consistent with the $79.99 top per-account price under a several-accounts-per-subscription structure. Founder identity β Yann Dine (Paris, France; founded August 2025), confirmed through Crunchbase company data and the TrustMRR founder page. β οΈ The official site does not name its founder. The "Zaid S., Founder" visible on the site is a customer testimonial, not this company's founder β we nearly read it that way ourselves. π΄ Grade A says the revenue was real, and nothing more. Here that limit matters unusually much: revenue being real and the method being safe are entirely separate questions, and the risk section below is the real substance of this case.
- TrustMRR β Stripe-verified, but β οΈ frozen at 2026-02-05 after the API key expired. MRR $128,005 Β· 1,108 subscriptions Β· $507,250 all-time (revenue_dashboard Β· checked 2026-08-31)
- Official pricing and safety page β $79.99 to $39.99 per account, plus the vendor's own statement about staying under LinkedIn's thresholds via residential proxies (official_site Β· checked 2026-08-31)
What made it work
AI sold reply rate, not volume. Bulk senders have existed for years and their price kept falling. What held the price here is writing to each person differently β expensive when a human does it, which is exactly why automating it was worth money. π΄ The bigger lesson is the lifespan of a business built on someone else's platform. When routing around a platform's rules *is* the feature, the business ends the day that platform decides it does. Large revenue is not evidence that a business is safe.
Risks
- π΄π΄ The biggest risk is not competition or AI β it is the terms of service. LinkedIn's user agreement prohibits automation and scraping. And the vendor itself states on its official page that it attaches a dedicated residential proxy and paces activity like a human to stay under LinkedIn's thresholds. That is not "complying with the terms" β it is not getting caught. The same page notes that LinkedIn penalises excessive connection requests and scraping. π΄ What gets suspended is the user's account, not the company's. Losing a sales LinkedIn account takes the network built inside it too. π΄ The figures are six months stale (2026-02-05). We cannot say where it stands now.
- One founder, two products (Speel.co runs in parallel). This revenue may not represent everything going into one product.
- These are six-month-old-company numbers. What rises that fast can fall, and durability has not been demonstrated.
Does this work in Korea?
π΄ Do not copy this model as-is in Korea. Two reasons. First, the terms. LinkedIn's user agreement prohibits automation tools and scraping. A suspension lands on the account of the person using the tool, not on the vendor. Second, the audience is not there. Not enough Korean B2B buyers live on LinkedIn to support this model. What does transfer is not the sending β it is reading the person and writing to each one differently. That works over email, messaging or proposals, done by hand, with no terms-of-service problem at all.
Solo-feasible: partially Β· Automation: high
7-day action plan
Step 1. Before copying this, read the target platform's terms on "automation" and "scraping" yourself
Step 2. Count where your actual prospects gather
it probably is not LinkedIn
Step 3. Send 20 hand-written, genuinely researched messages with no automation and measure the reply rate first
30-day action plan
Step 1. From those 20, extract only the part you did identically every time
that is the only part worth automating
Step 2. Check whether a permitted channel (email, your own forms, ads) can do the same job
Step 3. Build at least two acquisition paths that do not depend on a single platform
Run the numbers
We do not print a single projected figure here. Put your own numbers in instead.
How this reads for you
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We check the AI income stories people are talking about, grade the evidence, and send you what we found β including what we could not confirm.
Words you may not know
- Verification grade
- How far we checked this case. A means the revenue was confirmed by someone other than the founder; B means the business exists but the revenue is only the founder's word.
- Revenue
- Everything that came in. Tools, fees and tax still have to come out before it is what you keep. The two are not the same.
- MRR
- Money that arrives every month, as opposed to a one-time payment.
- Self-reported
- A number the person stated about themselves. Nobody else confirmed it, which is why we do not print those numbers.
- Replicability
- How likely someone else is to get a similar result. The more the founder already knew the field, the harder it is to copy.