Who we feature
The people behind the numbers — every founder we've sat down with, and the stories they told us straight.
TypingMind launched five days after OpenAI opened the ChatGPT API and crossed $500,000 in revenue within a year. Here is what solo operators can copy from Tony Dinh's build-in-public playbook.
Naomi Tate built a quiet $7,400 MRR tool for solo bookkeepers, no paid ads, in 18 months. In June 2026 she sent the wind-down email. Not because she failed. Because her infra bill, her toddler, and her own client roster all added up to a different answer than the spreadsheet she started with.
A composite vertical-SaaS founder hit $9,120 MRR running entirely on four AI agents, then made her first paid hire in March 2026, not a developer, an operations contractor at $22/hr through Deel. The 60-day result: NPS +14, churn -1.2 pp, founder hours -11/wk. With the math, the agent she retired, and what she'd do the same.
Inés Vargas, a solo founder in Bilbao, hit 100 paying customers in 90 days for $1,470 in total spend. The itemized cost breakdown, the LinkedIn voice-DM channel that beat cold email 27x, the pricing flip at customer 38, and the channel she'd skip if starting again. Told as told to Joaquín del Río, with the spreadsheet on the table.
Marta del Sol runs a one-person operations studio from Valencia and crossed $4,120 in MRR across nine clients, with three AI agents doing the delivery and a $612 monthly software bill. Here's the real arc: the underpricing she's embarrassed by, the month two clients churned at once, why her clients renew for the Friday report and not the robot, and the caveats she insisted we print next to every number.
Cadence reached $12,400 in MRR with 140 accounts and an up-and-to-the-right graph, then the founders shut it down on purpose. This is the post-mortem of the most dangerous number in startups: too much to walk away from, too little to live on. The retention they didn't track, the customer they optimized for and shouldn't have, the fork they took too late, and the unusually honest way they ended it.
Tomás Iglesias turned six years of hourly freelancing into a productized service business doing $51K MRR with a team of five, and his hours dropped from 60+ to 45 a week while revenue doubled. A real Tuesday, with the numbers: the utilization metric he checks before coffee, the $28K over-hiring scare, why he still does every sales call himself, and the $13K of actual monthly profit hiding behind the headline.
The app worked. The demo hit 140,000 views and 412 people signed up on launch day. Ninety days later: 11 paying users, ~$209 MRR, and an $8,000 monthly burn. This is the boring middle where AI products actually die: the retention cliff the launch hid, the month spent building the wrong thing, the five user calls that came too late, and the specific trap of an AI demo that's too good to be true.
The two people who ask the questions and write them up.
Interviewer at OperatorBook. Sits founders down and asks the awkward question about the numbers — then prints the answer.
Narrative writer at OperatorBook. Turns spreadsheets and Slack logs into stories you actually finish.
