Remote Rocketship
👤 Lior Neu-ner (Ex-Meta engineer (5 yrs), now a technical writer at PostHog. Builds Remote Rocketship solo, disclosing MRR publicly.)🌐 siteliorn.substack.com𝕏LinkedIn
A solo ex-Meta engineer scrapes 60k companies' job feeds, ranks them on Google, and charges seekers for the shortlist.
Will it work? · our read
SEO arbitrage. A solo ex-Meta engineer turned free Google traffic into about $72k/yr by charging the side everyone ignores: job seekers. Durable while SEO holds, fragile the day it shifts.
01How the money moves
Scrape 60k firms' ATS feeds daily — free job supply, no employers needed
→
Programmatic SEO spins jobs into 1000s of pages → 450k Google clicks/mo
→
Job seekers subscribe for full access — about $6k MRR
02The numbers
$6k
MRR (late 2023)
self-report
450k
Google clicks/mo
founder
60k+
companies scraped
podcast
Traffic and scrape counts are founder-stated in interviews; MRR self-reported via BoringCashCow interview and X. JBoard
About $6k MRR (about $72k/yr), self-reported late 2023.
03Weight class — CENTStap an axis
Control Low
Traffic is 100% Google SEO; supply is scraped from others' ATS. Either can cut him off overnight.
04The key move
Charge the seeker
Every job board bills employers and stalls waiting for enough of them. His B2B push landed one $199 sale. So he scraped 60k firms' ATS feeds for free supply and charged job seekers $10/mo for full access.
fact
The counter-intuitive move
Charging the desperate side works, but seekers quit the moment they're hired — so unlike an employer subscription, LTV is only a few months.
our read
05Where the moat is
No employer relationships to defend. The moat is SEO surface area and an automated supply pipe.
1000s of pages ranking for long-tail job queries60k-source auto-scraped job supply2 years of compounding domain authoritySolo, near-zero cost base — hard to undercut
06How it diesmedium confidence
Google is the whole funnel; scraped ATS feeds are the whole supply. A core update or scraping block cuts both at once — and if seekers quit soon after hire [our read], MRR could empty within weeks. our read
Show evidence · counter
Evidence: He already flags Google's freshness bias and missing salary fields keeping thousands of listings from ranking — evidence the funnel sits entirely at Google's mercy.
Counter: Two years of domain authority won't vanish in one update, and he can bolt on employer or API tiers; scraping public ATS pages is common, defensible practice.
07Against rivals
Weight = rough monthly-traffic scale. Rivals bill employers per post; Remote Rocketship flips it and bills the job seeker. our read
08Who uses it
Remote job seekersSoftware engineersDesigners & PMsCareer switchersDigital nomads
★Would it work for you?
Do you sit on a public but messy dataset that motivated people would pay to have made searchable?
If you can turn scattered public data into one clean, ranked feed, study this. We don't score you — you answer.
🚀Use it as a launchpada prompt for your own AI
Copy → paste into your AI → then develop it freely in the conversation.
You are a sharp, honest startup strategist. Use the proven case below as a launchpad for MY idea — help me find my own angle, not copy it.
<my_profile>
Domain I know: [your domain]
My unfair advantage (access/audience): [your edge]
Interests: [your interests]
Resources & goal: [your resources] · [your goal]
</my_profile>
<case name="Remote Rocketship" model="marketplace">
What it does: Remote Rocketship scrapes remote jobs from 60,000 companies' ATS pages and charges job seekers a subscription for full access.
Why it won (moat): It won by generating thousands of programmatic-SEO pages that rank on Google, giving it free distribution rivals pay to buy.
Weakest axis (CENTS): Its weak axis is retention: subscribers cancel as soon as they land a job, so revenue leaks and must be constantly refilled.
How it could die: It dies if a Google core update or an ATS-scraping block severs its only traffic and supply channels at the same time.
</case>
<task>
Be a skeptical operator, not a cheerleader. No generic startup platitudes. If my angle is weak, say so plainly.
First, a reality check: markets like this mostly fail. State the honest base rate (how crowded/hard is this?) and the ONE specific thing that would have to be true for ME to be the exception — grounded in my profile above.
Then a compact table:
- Fit — does this pattern suit my edge, or fight my gap?
- Angle — my sharpest differentiation vs Remote Rocketship (concrete, not "better UX")
- Distribution — exactly where my first 100 users come from (this is the hardest part — be specific, not "content marketing")
- Risk — its "how it dies" (above) in MY situation
Finish with one line: "The single thing to do next."
Use only the facts above; if data is thin, say so — never invent numbers.
Then stay with me and go deeper on whatever I ask — tech stack, rough cost & time, the smallest MVP to test, pricing, or timing.
</task>
✓ Copied — paste into your AI
👤Placeholders like [your domain] auto-fill from your profile — example values for now.Set up profile →
Sourcesupdated · daily
MRR ($6k, late 2023, per BoringCashCow founder interview and a founder X milestone post) and traffic (450k clicks/mo, 60k firms scraped, per JBoard interview) are founder-self-reported, not audited; the only figure I read directly on Indie Hackers is $1k MRR at the Apr-2023 B2C pivot. Pricing shown evolved ($10/mo at pivot; about $18/mo now). Tagged marketplace though it runs as a data aggregator. We never score you.