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Solopreneurship for beginners

Making your tech career layoff-proof

I sat through a talk by Clair Sullivan about making a tech career layoff-proof by going solopreneur. I am still deciding how much of it I actually believe. This is my notes from that talk.

The talk opened with a story that is doing a lot of the persuasive work. Clair was a director of data science at her last corporate job. On a Friday in December she went into a 9am meeting with her boss and came out of it without a job. She had been applying for a while already and getting nothing back, not even a call. She is the solo breadwinner for her family, based in Colorado. Out of that, she announced a generative AI consultancy on LinkedIn, and by the end of the week she had enough clients to replace her corporate salary.

On Clair Sullivan: (from her website) A 20-plus-year data science and AI veteran (her linkedin says much less), she was Director of Data Science at Vail Resorts for almost 2 years (interestingly I’d seen the job posting for that position) and worked at GitHub and Neo4j before founding Clair Sullivan & Associates, a data science and generative AI consultancy in Breckenridge, Colorado. She says she replaced her corporate income within a week of going solo, and teaches this material in a course. The talk itself was a free one working mainly as an ad for the course.

Why the idea works at all

On the MoneyDigest piece. A May 2024 article by Daniel Feininger arguing that loyalty has quietly become a one-way street. Its list of reasons: a glut of cheap skilled labor, employees job-hopping every four years on average, standardized tools making workers replaceable, poaching rivals’ staff for intel, automation eliminating whole roles, outside hires for management, shareholder pressure for ever-rising profits, and outsourcing. Its blunt advice to workers is to treat employers as stepping stones, not as places to grow old.

The data backed up the instability. The two bar charts are TrueUp’s tech layoff tracker numbers. Cumulative 2025 comes to roughly 210,000 people impacted, and year-to-date 2026 (January through July) comes to roughly 172,600. The peaks are what stand out: July 2025 at about 46,500 and March 2026 at about 50,400. The exact counts drift as TrueUp revises them, but the shape does not, and the shape is that the stream is not stopping. (If you are wondering, the big red O is Oracle)

Tech employees impacted by layoffs, as of November 4, 2025
Tech employees impacted by layoffs, as of early November 2025.
Tech employees impacted by layoffs, as of August 4, 2026
Tech employees impacted by layoffs, as of August 4, 2026.

She then said: “Just because a company lays off 10,000 employees doesn’t mean they have 10,000 people less work to do.” Everything downstream is just the logical consequence of that sentence.

Why people stay in corporate jobs anyway

The talk lists the legitimate pulls that keep people attached, even when the picture above is grim.

Right there is the core of the hesitation. It is not that people cannot see layoffs, it is that the alternative feels like stepping onto a raft without a map.

On Brett Trainor. The person behind the quote according to their website: Trainor spent over 25 years in corporate go-to-market roles before being let go, and now runs The Time Rich Project (formerly The Corporate Escapee), a podcast, newsletter, and community helping Gen X professionals transition out of corporate. His recurring thesis, “four clients are safer than one boss”, is that a single salary is the most concentrated risk most people ever take, and that landing your first client is usually easier than landing your next job.

The financial readiness framework

Clair was careful to put a caveat on a slide right before this section: she is not a lawyer or an accountant, get your own.

The honest version of your hourly rate is not your salary divided by the hours you are paid for, because not all of your hours are billable. The talk uses a rule of sixty: other things eat about 40% of your time, so 25 billable hours a week is a realistic target.

Monthly scenario planning

Annual scenario planning

Here is an updated sheet with tax calculation for BC - Canada that you can adopt for your own calculations.

Becoming an actual business

Between the arithmetic and the first client sits the part most people skip, which is making it real enough to protect yourself.

Getting the first client

If the section above is the safety, this one is the engine.

The final slide wraps it together: you do not need tons of clients, just a few to make your hours and replace a corporate salary, and the companies doing the laying off still have work that needs doing.

Applying it to me

So where do I land?. I am not optimizing for a title or a promotion ladder, I am optimizing for a small number of clients who each represent real work and a real budget.

I came away less convinced that everyone should go solo and more convinced that the arithmetic is worth doing regardless. You can build the spreadsheet and the network while still drawing a paycheck, and that is a strictly better position than either holding on hoping or jumping blind.


This post is a write-up of live talk slides. All figures are as presented in the talk and not verified independently. I chose the two scenario-planning spreadsheet screenshots to include because they are the reproducible math; the rest of the renders and text are in my notes.

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