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BLOG · ISSUE #013

How a Solo Student Hit $2K MRR Selling LinkedIn Lead-Gen SaaS

Jul 06, 2026·2 min read

A French student with two dead startups behind him hit $2K MRR selling LinkedIn lead-gen SaaS in four months. The counter-move most indie founders would miss: he closes every deal on a live phone call, and the call is the actual product.

The case at a glance: 4 months to $2K MRR

Stack. LinkedIn as distribution, daily lead-magnet posts, manual DMs, Cal.com-style booking, live screen-share demo, private customer group for retention, a custom SaaS built solo, Stripe. The operator shipped v1 end of January, ran a beta with a 2-week "break it" mandate, forgot to build a waitlist and lost every early signup, then rebuilt the funnel around a manual route from LinkedIn post to Stripe checkout.

What he's actually selling: the phone-close, not the SaaS

The product isn't the software. The product is the phone call. A 65% trial-to-paid rate is not a UX win, it's a phone-close disguised as a SaaS metric. B2B free trials without a human on the line convert at 15-25%. Put a founder on a screen-share while the buyer's actual pipeline loads on the buyer's own screen, and the numerator rewrites itself. The demo IS the onboarding IS the sale, collapsed into one 30-minute event.

The medium doubles as the demo. He sells LinkedIn tools on LinkedIn, and every daily post that ranks in the algorithm is a live proof-of-concept in front of the exact ICP, running for free against the same competitors his prospects are already tired of. No cold email campaign gives you daily testimonials against your own market while it scrolls.

And the lead magnet inverts outbound gravity. Prospects self-identify by commenting a keyword to receive a checklist, so by the time a DM goes out, the qualifying work is done. Cold-DM closes maybe 1-in-30 industry-wide. His inbound DM closes closer to 1-in-10 because the pain has already raised its hand.

He's running a 40-hour agency wearing SaaS pricing. That's not a bug to systematize away — it's the actual machine.

Want the full dissection?

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