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Your feed says tech is a graveyard. It's lying. Robinhood cut 290 people at record revenue and called it 'talent density,' two no-layoff lifers finally caved, and the headlines lapped it up, while security postings quietly jumped 124% and nobody noticed. Inside: who actually cut, where the hiring is hiding, why the AI-cut crowd is bleeding stock, the Fed move that just killed cheap money, and founder Marc Macaluso's tech-to-longevity blueprint. Read past the doom, then aim.

TL;DR

• Tech "died" again. Weird. Software engineer postings are up 11% and security up 124%, but 1,115 cuts a day hog the feed while the open seats sit there unclaimed.

• The cutters got shameless. Robinhood axed 290 people at record revenue and called it 'talent density,' while ServiceNow and Expeditors torched their own no-layoff promises.

• Spotlight: Marc Macaluso turned a health scare and a tech background into a longevity company (TMW). His reinvention playbook is repeatable, and we break it down.

• Move of the week: a rejection inside 48 hours was a keyword bot, not a human. Re-aim your next 5 apps at security, AI/ML, data, and cloud, and mirror each posting's exact words.

✨ Spotlight

A Blueprint for Reinvention: Marc Macaluso

If you've ever been laid off and wondered "What now?", Marc Macaluso's path offers a clear, repeatable blueprint for turning uncertainty into a stronger next chapter.

His resume reads like one move, run four times. At 26 he took on complex adaptive systems at InfoLabs without knowing the space. He spotted the real problem, data chaos, taught himself the math behind emergent behavior, scaled the fix, and exited.

Years later, when his own health metrics flagged, he didn't outsource the education. He treated biology like a new stack, devouring the literature on bioavailability, pharmacokinetics, and cellular senescence until he could talk shop with chemists instead of just hiring them. Then he built TMW Longevity and compressed nutraceutical R&D, normally 3 to 5 years of formulation and stability testing, into months by running software-style agile sprints. The proof of his speed is the timeline: Essential Longevity shipped at tech velocity in a famously sluggish industry.

He didn't stop at the first win. He's already re-applying the playbook to the next bottleneck, bioavailability ceilings, re-engineering the delivery mechanism to raise what over-the-counter efficacy even means. Call it a recursive engine: take a dense, unfamiliar system, deconstruct it fast, ship at startup speed, and the second it stabilizes, aim at a harder target. For anyone staring down a layoff, that's the blueprint: the skills transfer, and the loop is the whole point.

The company is still early but showing clear momentum: strong direct-to-consumer subscription traction, consistently high customer reviews, and reported biomarker improvements from users. Marc is already iterating on the next constraint, pushing bioavailability even further, which signals he's building for the long game rather than chasing quick wins.

For tech talent, that's the interesting part. A founder who speaks fluent agile, values rigorous learning, and is operating at the convergence of software thinking and one of the fastest-growing categories in health (longevity and health-span) is exactly the kind of leader who'll need strong engineering, data, product, and operations minds as he scales. Whether it's optimizing e-commerce systems, building personalization engines, tightening supply-chain tech, or accelerating the next product cycles, the skill transfer from traditional tech roles is direct and high-impact.

If that convergence is your lane, follow TMW Longevity on LinkedIn and set job alerts. Early teams are where the skill transfer pays off most.

(And sure, pour a little something good into your coffee while you read the rest. Reinvention runs on energy too.)

He is giving the Offboard community $20 off if you use OFFBOARD20 in the TMW shop.

📊 (NOT SO) FUN FACT

A software engineer earning $200K per year would have to work for 10,000,000 years (10 million years) to earn $2 trillion, SpaceX’s most recent valuation.

🚨 The Big Story

SWE Postings Up 11%, Security Up 124%, and No One’s Talking About It

What happened: While the layoff trackers grab the headlines (about 1,115 cuts a day in 2026), the hiring side quietly turned. Software engineer job postings are up about 11% year over year and 'rapidly rising' per Indeed data, and 78% of tech leaders say they plan to add permanent headcount this year, up from 61% earlier in 2026. Robert Half's 2026 data puts AI/ML engineers, data engineers, cybersecurity engineers, and cloud architects at the top of the demand list, with AI/ML engineers paying a mid-range around $170,750. Yahoo Finance

Why it matters: The rebound is real, but it's narrow, and most jobseekers are aiming at the half that's shrinking. Security roles alone hit 66,800 postings, up 124% year over year. AI, ML, and data roles are up 163%. At the same time, 65% of hiring managers say skilled talent is harder to find than a year ago. There are open seats; they're concentrated in specific lanes, and the doom narrative is hiding them.

Our take: The layoffs are loud because cuts make headlines and job postings don't. So the feed tells you tech is dying while security, AI infrastructure, and data teams can't fill seats. If your search has stalled, check your aim before you question your effort. A backend engineer is a step from a platform or AIOps role; a QA lead is a step from agent-oversight work; a sysadmin is one cloud cert from a posting that's up triple digits. The market moved and forgot to send you the new address.

What to watch:

• Whether the software-posting climb holds through the back half of 2026. Hiring usually slows after June, so this year is the test.

• The widening skills gap. 65% of managers can't find talent, which is leverage if you're in or near a demand lane.

Your move:

• Re-aim your next 5 applications at the growing lanes: security, AI/ML, data, cloud, platform. Mirror each job description's exact terms.

• Map your current skills to the nearest in-demand title (backend to platform, QA to agent-ops, sysadmin to cloud) and add the one cert or keyword that bridges it.

☀️ The Bright Spot

Virginia kills the non-compete trap for laid-off workers

Virginia just handed laid-off workers a real win. Governor Abigail Spanberger signed a sweeping employment package (most of it live July 1) that makes non-competes unenforceable against anyone fired without cause, unless the company pays severance for the privilege. It also adds pay transparency, a salary-history ban, and paid sick leave. So if Virginia cuts you, it can't also block you from getting hired down the street. Sixteen states plus DC now have pay-transparency laws on the books. More of this, please. Crowell & Moring

🧠 The Hiring Manager's Brain

A 48-hour rejection is a bot, not a person

If your rejection lands the same day or the next, a human never saw your resume. A keyword filter bounced it before anyone in the building knew you applied.

Recruiters say it plainly: an instant or 1-2 day 'no' is the applicant-tracking system, not a hiring manager. The software matches exact strings, so a resume that says 'sprints' when the listing says 'Agile methodology,' or 'GPT' when the job wants 'LLMs,' reads as a miss even when you're more than qualified. Resume Worded

What to do about it: Track your rejection timing. Anything under 48 hours means rework the keywords, not your whole career. Paste the job description next to your resume, mirror its exact tool names and disciplines, then reapply through a referral so a person makes the call instead of the filter.

📈 Trends & Data

56% of AI-layoff stocks fell. Awkward.

• A Gartner study of 350 companies over $1B in revenue found roughly 80% cut staff for AI, and the cutters were no more likely to post better returns than peers who didn't. Even OpenAI's Sam Altman admits there's 'some AI washing.' Fortune

• Of 23 S&P 500 companies that blamed AI for layoffs, 13 (56%) saw their stock fall after the announcement, down about 25% on average. CNBC

• The Fed held rates at 3.5-3.75% on June 17, its fourth straight hold, then flipped hawkish: half the committee now expects at least one rate hike this year, a U-turn from the cuts it floated three months ago. One driver is a strong May jobs report and "renewed momentum" in the labor market. Indeed Hiring Lab

What this means for you: The cheap-money rebound startups were banking on isn't landing this year. The upside: the Fed is staying tight partly because hiring got stronger, the same signal the Big Story runs on. Aim at the lanes already growing on their own, and read 'AI efficiency' on a job posting as a yellow flag.

✅ Your Moves This Week

Re-aim at the growing lanes, then bridge your title

1. Re-aim your next 5 applications at the growing lanes (security, AI/ML, data, cloud, platform) and mirror each job description's exact terms.

2. Map your current title to the nearest in-demand one (backend to platform, QA to agent-ops, sysadmin to cloud) and add the one cert or keyword that bridges it.

3. A rejection inside 48 hours is a keyword bot, not a person: rework the job description's exact terms and reapply through a referral.

4. Apply to one freshly funded company while the roles are real: Cognition just raised $1B (AI dev tools) and Mach Industries raised $300M (defense tech). Both are hiring.

5. Check a remote-first shop that's growing: GitLab (fully remote, 65+ countries) and Atlassian ('Team Anywhere') are both hiring engineers right now.

6. Cut in a 'talent density' or 'AI efficiency' round? Write your one-line rebuttal: the company chose margin, your work wasn't the problem. Say it out loud once before your next interview.

7. Take one full evening off the trackers. The layoffs will still be loud tomorrow; your focus is the asset.

Are you seeing the rebound, or still firing applications into the void? Hit reply and tell us which roles are actually getting responses. We'll share the pattern (first name only) in a future issue.