Startup to exit:
From first agent run to a product worth acquiring.
Throughput / Transparency / Exit-ready product
Palterion shipped the product like it was theirs, but it was always ours to sell. We hit traction fast, and when acquisition talks started, the codebase and metrics were ready.
Jobotic AI, Co-founder & CEO
$10k+
MRR before acquisition
8.4k+
Applications submitted in 24 hours
1.2k+
Active job seekers at peak
01 /
Challenge
The founding team needed to prove that high-volume job applications could feel controlled and transparent, not like a black-box bot farm.
They had to ship a subscription product quickly enough to win users before larger incumbents copied the workflow.
Every failed agent run, billing edge case, or opaque queue state was a churn risk for a startup betting on trust.
02 /
Solution
We built Jobotic AI's product system around job discovery, AI resume tailoring, browser-agent execution, queue visibility, Stripe billing, and application analytics.
Every agent run is logged with the role, employer, and outcome, users can pause, review, or override before anything ships.
The architecture was structured for a small startup team to operate day to day, and for diligence when acquisition conversations began.
03 /
Impact
Jobotic AI reached $10k+ MRR within months of launch with a subscription model job seekers actually kept.
A single 24-hour window saw 8.4k+ applications submitted across the agent fleet without losing audit visibility.
The company was acquired with a production platform, paying users, and clean operational metrics, not a prototype.
Next impact study
RareOres
