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How I Went From Recruiter To Building My Own Recruiting Platform -

Nice-to-have

Two founders with eight years in recruiting built a directory and marketplace where recruiting professionals and agencies get discovered by employers and receive leads, charging a subscription; two weeks after relaunch it is under $1,000 MRR.

Founder interview, self-reported 素材未提及创始人行业人脉LinkedIn 外联与 PPCFacebook PPC 测试推荐同事病毒活动
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01

Real-demand verdict

Real-demand verdict

Nice-to-have

It replaces the old pattern of recruiters winning work through personal networks and employers finding recruiting partners by referral, so the need is plausible; but the only evidence is a 75% concept-acceptance rate, with no retention or renewal data and only two weeks since relaunch, so willingness to keep paying is unproven.

How it makes money

Recruiting professionals and agencies pay a monthly subscription for visibility, leads and marketing tools on the platform. The source only gives a sub-$1,000 MRR figure, with no pricing tiers disclosed.

What old behavior it replaces

Recruiters winning work through personal networks and employers finding recruiting partners via referrals

02

Where the first customers came from

The founders' recruiting network in Hong Kong, plus interviewees found by scouring their office building directory and doing LinkedIn and email outreach; the pre-launch used a refer-a-colleague leaderboard campaign plus LinkedIn and Facebook PPC tests to capture hundreds of users.

Acquisition channels 创始人行业人脉LinkedIn 外联与 PPCFacebook PPC 测试推荐同事病毒活动

03

Tactics you can copy

  1. 01Run a five-day Google Design Sprint to produce an InVision prototype, put it in front of target users in person, and only start coding after concept acceptance clears 75%.
  2. 02Use a refer-a-colleague leaderboard with rewards as the pre-launch viral loop to get from zero to hundreds of users.
  3. 03Act as your own project manager when working with a dev house, even if they have a PM, because the two sides' goals diverge.
Moving it to an AI business

This playbook transfers directly to AI apps: validate the concept with a prototype before writing code, use a referral loop rather than paid acquisition alone for cold start, and treat the path from first touch to first-value activation as part of the product rather than an afterthought.

04

Evidence and limits

Self-reported numbers are unaudited — treat them as leads, not facts
Founder interview, self-reported

Revenue basis · Founder self-reported, unaudited (see source page)

What evidence is missing

Only a sub-$1,000 MRR figure is given; no pricing, paying-user count, retention or churn data, so recurring payment is unproven.
The 75% is concept acceptance in interviews, not a conversion or payment rate, and cannot be read as demand validation.
No customer acquisition cost, and no data on how many pre-launch users converted to paid.