Executive summary
Hurraay wants a marketplace like Mercor. Hiring managers will not pay into that system
without a roster of workers. Interview practice is how we attract job seekers first,
get some recurring revenue, and seed the roster with consent.
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Job seekers outnumber hiring managers, interviews are scarce, and not everyone has a
coach. They might try, and even pay for, practice with an AI interviewer.
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This is not a crazy idea. Mercor, Interviewing.io, Ben Erez, and LinkedIn already
show pieces of the model: AI interviews, paid practice, and charging both sides of
the market.
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Even if this line does not make a lot of money, traffic can still cross-sell into
the marketplace. We can reuse Nexora and Hurraay voice tech. Investment is mostly
prompts plus a simple job-seeker web app.
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Go to market in phases: private MVP and high-signal trials (Phase 0), then LinkedIn
ads and referrals (Phase 1), then product-led growth through sharing (Phase 3). Skip
real payments at first. A false door is enough to see if people would pay.
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Watch unit economics, subscription pricing, niche scope, adverse selection on the
roster, and the conflict of interest in scoring people we also train. Sunset it if a
tight pilot does not produce consented, outcome-linked data, or if employers do not
pull from that roster.
Current Situation
Robin mentioned that the current vision was to establish and move towards a
marketplace like Mercor.
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Attracting hiring managers who will actually pay — both the platform and the workers
— will be hard without an existing roster of workers.
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We need to attract workers and seed the platform with a roster of prospects before
we can attract job posters or hiring managers.
Business Goal
- Get recurring revenue for Hurraay.
- Strengthen and establish a marketplace.
Thesis
The job-seeker side of the market
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In any job market, job seekers will outnumber recruiters and hiring managers.
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Personal primary research has also indicated that it's really hard to get even a
single interview, even after hundreds of applications.
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Not every job seeker has access to friends or coaches they can practice mock
interviews with.
Why they might pay
Since it is really important to perform in the one interview call that a candidate
gets after a hundred applications, candidates might be willing to try, and even pay
for, interview practice run by AI interviewers.
Examples
This is not a completely crazy idea. There is already some proof behind it.
- Mercor is the marketplace shape Robin is pointing at: AI interviews
plus a roster of workers that hiring managers actually pay for.
- Interviewing.io already showed that people will pay to practice
interviews, and that practice can feed recruiting. They stayed smaller because the
interviewer was still a human.
- Ben Erez
is charging $500 for unlimited text interview practice. Job seekers will pay when
the one interview after a hundred applications matters that much.
- LinkedIn already charges money from both sides: job seekers and
hiring managers. LinkedIn Learning sits on the candidate side as courses that become
credentials on the profile. Charging seekers for something that also helps the
hiring side is a model the market already understands.
Supports the existing vision
Even if we do not see a lot of revenue from this new business line, as long as we have
sufficient traffic we can still:
- Cross-sell practice users into the marketplace roster.
- Make those candidates available for hiring managers to pick from.
Flywheel
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Job seekers join the interview-practice side of the business to try and improve
their interviewing skills for jobs both on and off the platform.
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A percentage of these job seekers become paid users. They use the product enough to
give us quality signals.
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A percentage of job seekers from step 2 are added to the roster with consent.
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The total number of candidates on the roster increases. Hiring managers have more
choice, and the perceived value of Hurraay increases in their eyes.
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As more hires take place on Hurraay, other job seekers will also be attracted to the
interview-practice side of the platform, which feeds back into step 1.
Where the money is
- Consumer revenue should cover its own acquisition.
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The real P&L is pay-by-hire, then employer seats, then a credential hiring
managers trust.
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Expansion is every job where the work is talking — sales, CS, operators — which is
also Nexora’s world.
Shared technology
We can reuse the underlying agentic voice technology that we have in Nexora and in the
existing Hurraay to also power this new business line.
Investment can be limited to:
- Modifying the prompts to conduct interviews beyond the screening call.
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Building a web app to get sign-ups from job seekers and let them practice
interviews.
Go to market
Phase 0 — Zero to one
What we do first is a zero-to-one phase. LinkedIn outreach, live events, and
partnerships with organizations.
- Build a very simple MVP.
- It will not be on the public website to begin with.
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Reach out to job seekers privately, through networks or community events where a lot
of job seekers are showing up to get help these days.
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Give out free or at-cost interviews to a few high-signal job seekers who can try it
and give us good feedback.
- Once the trial is over, make a paid option available.
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Work on credits or a monthly subscription, ask people to pay, and see how many
actually would.
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We do not need to build the payment feature yet. A false door is enough to validate
the idea.
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Marketing and distribution will heavily depend on LinkedIn and effort from the
company’s employees.
- Attend job-seeker meetups in Berlin.
- Partner with job training centers.
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Partner with social entrepreneurship organizations that are helping job seekers
right now.
Phase 1 — Ads and referrals
Once the rate of learning from Phase 0 plateaus, we go to Phase 1.
- Run ads on LinkedIn.
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Referrals in the app: three free interviews for the person being invited, and one
free interview for the person doing the inviting.
Phase 3 — Product-led growth
Build ways for candidates to share their achievements socially, and other features
where candidates share something with their network. To participate, they have to
create an account on Hurraay.
What has to be true
- Candidates complete the round and a share of them pay.
- A meaningful share consent onto the roster — without being coerced.
- Employers prefer consented, spoken-proof people over résumés.
- Those people get hired faster, or at higher quality, than the baseline.
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The eval trained on those outcomes beats a generic voice agent. That is the moat
test.
Risks
Unit economics
We get the unit economics wrong. Mitigate this by giving out a limited number of free
calls at first, measuring how much it costs us, and using that to estimate how much we
should charge per call.
Subscription pricing
We get subscription pricing wrong. Hold off on subscriptions until we understand the
unit economics. Then see how much people will use with unit pricing. Use unit
economics and the cost of the 90th percentile of usage to set pricing until we find
the balance between profitability and growth.
Scope
The job market is huge. Creating an AI coach for PM interviews is easy. Creating an AI
coach that can handle marketing, operations, different industries like tech and
automotive, and also other non-white-collar jobs is going to be a challenge.
- Pick a niche and stick to it in the beginning.
- Expand slowly into adjacent areas.
Adverse selection
There is a self-selection bias in who might sign up for the interview product. Job
candidates who have trouble getting jobs, and who have trouble performing in
interviews, will be more likely to try it out and then pay for it. But these are also
the kind of candidates that hiring managers will not, or have not, hired so far.
Moving a lot of them into the roster might affect its quality and reduce the trust we
have from hiring managers.
Conflict of interest
Hurraay is creating a roster of “quality” candidates for hiring managers. Hurraay also
trains candidates with practice interviews. Hurraay is placing candidates who use
practice interviews on the roster as “quality” candidates. This participation in both
sides of the marketplace might reduce the trust hiring managers have in the scores
Hurraay gives to job seekers.
Gating and Sunset Criteria
After a tight pilot (one role, one market), stop building practice as a product if:
- Rounds do not produce consented, outcome-linked data, or
- Employers do not pull from that roster.