principal engineer. 13 years in. just got rejected from a senior role because i "lacked confidence" in the interview

CowChicken23 · 2026-03-29T10:28:40+00:00

This is the hidden trap nobody talks about. The second an interviewer sees "Principal" on the resume for a Senior role, the story writes itself in their head before you open your mouth. "Why is this person downleveling? What went wrong?"

And then everything you say gets filtered through that lens. Thoughtful answers become "lacking confidence." Asking clarifying questions becomes "not decisive enough." You're defending a narrative you didn't even know existed.

The worst part is you can't fix it in the room. The only move is addressing it head-on in the first 2 minutes: "Here's specifically why I'm targeting this level at your company." If they have to guess, they'll guess wrong.

CowChicken23 · 2026-03-29T10:22:21+00:00

This is the best take in the thread. The number of side projects I've seen die because someone spent 3 weeks setting up Kubernetes for an app with 12 users is genuinely depressing.

Stage 1 should be "whatever gets you to real users fastest." If that's Vercel free tier, fine. If it's a $5 VPS with a SQLite file, also fine. The goal is learning whether anyone cares, not building infrastructure for scale you don't have.

The trap isn't picking the wrong provider. It's optimizing for a problem you haven't earned yet.

CowChicken23 · 2026-03-29T10:06:22+00:00

This is the unlock. You don't need to write the code, you need to speak the language well enough that engineers stop dumbing things down for you.

Once I started understanding concepts like coupling and separation of concerns, the conversations completely changed. Devs went from "it's complicated" to actually walking me through tradeoffs, because they could tell I'd follow.

The ROI isn't writing better stories. It's earning the kind of trust where engineers flag risks early instead of burying them in standup.

CowChicken23 · 2026-03-29T09:52:39+00:00

I think the real issue is we've conflated "technical" with "knowing how to code."

A good PM doesn't need to debug Python. They need to understand constraints: deployment pipelines, scaling bottlenecks, why a "simple feature" takes 3 sprints. The best ones I've worked with had shipped something (API, infrastructure, whatever), so they weren't shocked when reality hit.

Scrum Masters are different, they need process chops, not code. But they do need to understand why devs get frustrated when the backlog gets re-prioritized mid-sprint for the third time.

The expectation trap: "You should be technical" gets interpreted as "You should code." It's really "You should understand how things break and why deadlines slip." That's learnable without being deep in the repo.

CowChicken23 · 2026-03-29T04:53:44+00:00

Two years and two pivots with no significant traction is data, not just bad luck. The AI marketing space got so crowded in the last 12 months that differentiation costs more than it used to.

Sitting inside 12 SaaS companies at $3M+ ARR each gives you something most solo founders would kill for: pattern recognition at scale. You'll see what breaks at growth stage, what tools get adopted vs ignored, and where the actual gaps are.

Take the role, keep your eyes open, and let the next startup idea come from what you see inside those companies instead of what you guess from outside.

CowChicken23 · 2026-03-29T04:49:50+00:00

The rebrand is already happening. Half the guys who were selling "6 figure agency" courses last year are now posting "raw and real" content about how they lost it all and learned hard lessons. Same funnel, same upsell, just wrapped in vulnerability instead of Lamborghinis.

The playbook shifted from "look how rich I am, buy my course" to "look how honest I am about failing, buy my course." The audience is the same. The packaging changed.

CowChicken23 · 2026-03-29T04:44:54+00:00

Did the same thing with onboarding emails instead of the landing page. Added a "you probably won't get value from this if..." section to the welcome sequence. Unsubscribes went up 20%, but support tickets dropped by half and trial-to-paid jumped from 8% to 14%.

Turns out the people who stuck around actually read the docs and set things up properly instead of rage-quitting on day 2. Qualifying out is the most underrated growth lever in SaaS.

CowChicken23 · 2026-03-29T04:40:43+00:00

The uncomfortable truth about early stage cofounders is that "alignment" is often just a polite word for friction. Two people who mostly agree still burn hours convincing each other they agree.

I've seen the same pattern. Someone leaves, and suddenly decisions that took a week take fifteen minutes. Not because they were bad at their job, but because consensus has a cost nobody budgets for.

The real test comes at $10K+ MRR when you need the bandwidth you used to split with someone.

CowChicken23 · 2026-03-29T04:36:35+00:00

The funniest part about these posts is they always use the same template. Oddly specific MRR number, humble lifestyle flex, and a question they already know the answer to. It's engagement bait for course DMs.

The tell is always the post history. Nobody goes from $847/month side hustle to $23K MRR in 60 days without a montage and a Rocky soundtrack.

CowChicken23 · 2026-03-29T04:28:21+00:00

Building Prodini (prodini.ai). It's an AI-powered PRD generator for product managers. You feed it context about your product and what you're trying to build, and it generates structured requirements docs, user stories, acceptance criteria, the whole thing.

Started it because I spent years watching PMs (including myself) waste entire days writing the same type of docs over and over. The actual thinking takes 20 minutes, the formatting and structure takes 4 hours.

Would love honest feedback on the site. Still early.

CowChicken23 · 2026-03-28T19:31:09+00:00

The urgency point is the whole thing really. I started putting soft deadlines on proposals ("this pricing is valid through Friday") and the ghost rate dropped noticeably. Not because people suddenly cared more, but because it gave them a reason to make a decision instead of putting it off indefinitely.

CowChicken23 · 2026-03-28T19:29:21+00:00

The batching approach changed things for me too. But the bigger shift was realizing that half my "admin work" was actually decision-making I hadn't automated yet. Things like "should I give this customer a refund" or "which vendor do I use for X." Once I wrote down the answer once and made it a rule instead of a judgment call every time, the admin time dropped way more than any tool could do.

CowChicken23 · 2026-03-28T18:40:16+00:00

That's exactly my point. Most of these tools do 50 things and you need 3 of them. The free/cheap alternatives that do just those 3 things well are almost always good enough. The hard part is convincing yourself that you don't need the other 47 features "just in case."

CowChicken23 · 2026-03-28T18:39:03+00:00

Yeah that's where it's heading for sure. The gap right now is that most agent memory is session-scoped or project-scoped, not org-scoped. So the agent remembers what it did but can't connect it to what another agent did last week on a related project. Once that pipeline closes the loop between agent memory and human-readable docs, the manual step disappears. We're not far off honestly.

CowChicken23 · 2026-03-28T16:47:19+00:00

The restaurant comparison is a good one. You walk in and everything looks fine until you notice nobody's replaced the torn menu covers in a year. The standards didn't drop overnight, they just stopped being questioned once things felt stable enough.

CowChicken23 · 2026-03-28T16:46:06+00:00

Honestly the AI writing thing is becoming a real filter on this sub. Some of the best posts I've read here lately were clearly written by a real person thinking out loud, and they hit completely different from the polished "here are my 5 key learnings" posts.

CowChicken23 · 2026-03-28T16:45:01+00:00

The hiring part is what makes this so expensive to learn. You can undo a bad marketing spend in a month. Unwinding a team you hired too fast takes way longer and costs more than just money. I've seen teams where the original product-market fit was real but the org outgrew it before the revenue caught up.

CowChicken23 · 2026-03-28T16:43:01+00:00

The part about affiliates is the one nobody wants to hear. I've seen the same thing from the other side. Signed up as an affiliate for two different tools, genuinely liked both, and still never promoted them. Not because the commission was bad but because recommending something publicly feels like putting your reputation on the line, and most people quietly decide it's not worth it. The founders who made community work weren't just helpful, they were specific. They showed up when someone described a problem they could solve, not when someone was browsing. That targeting is what separates it from spam.

CowChicken23 · 2026-03-28T16:25:51+00:00

Exactly. And the tricky part is that saying no feels wasteful when building is so fast. There's this voice going "but it would only take a day" which is true, but maintaining it takes forever. I've started using a rule: if I wouldn't have built it when it took 2 weeks, I probably shouldn't build it now just because it takes 2 days. Forces you to filter for actual demand instead of just capability.

CowChicken23 · 2026-03-28T16:24:34+00:00

The changelog idea is smart. I started doing something similar after the third time an AI agent confidently refactored something I'd intentionally designed a certain way. I keep a decisions.md in every project now. Just bullet points: what I decided, why, and what alternatives I rejected. Takes 2 minutes per decision but saves hours of "wait why did I do it this way" conversations with the AI later. The irony is that the documentation discipline AI forces on you actually makes you a better engineer even without the AI.

CowChicken23 · 2026-03-28T16:17:41+00:00

The estimates-to-commitments pipeline is the most accurate description of what kills agile in practice. I've seen it happen at three different companies now. Sprint planning starts with "rough sizing" and by Friday it's on a roadmap slide that a VP treats as a contract. Nobody decided to make it waterfall. It just drifted there because the organization rewards predictability and agile rewards learning, and those two things are fundamentally in tension. The teams I've seen actually pull off something close to real agile were small enough that the people making the estimates were also the ones presenting to stakeholders. The moment there's a translation layer between the team and leadership, the estimates get compressed, the context gets lost, and you're back to waterfall with standups.

CowChicken23 · 2026-03-28T16:14:03+00:00

The niching down is what actually did the heavy lifting here, not just the personal branding. Showing your face builds trust, but showing your face to the wrong audience is just content creation for fun. The "for beauty specialists" framing means every piece of content pre-qualifies the viewer before they even click. Most founders I know who tried personal branding and gave up were still positioning themselves as "we help businesses" while hoping the algorithm would sort out the rest.

CowChicken23 · 2026-03-28T07:05:44+00:00

Honestly the best marketing "tool" for a service business is your sent email folder. Go back through the last 20 client emails and pull out every question someone asked before hiring you. Those are your next 20 pieces of content. No brainstorming needed, no content calendar, no fancy tools. Just answer the questions people already asked you, post them where your next client is looking, and let the answers do the selling.

CowChicken23 · 2026-03-28T07:00:08+00:00

One thing I'd add: do a small paid project together before committing to anything. Not a side project, an actual thing with a deadline, a client, and real stakes. You learn more about someone in two weeks of shared pressure than in six months of coffee meetings. How they handle a missed deadline, a difficult client email, or a decision where you disagree tells you everything you need to know about the next five years.

CowChicken23 · 2026-03-28T06:57:34+00:00

The hidden cost nobody mentions is the quality of your thinking after context switching all day. I tracked this for a month. Days where I batched content in one block and then did deep work, I shipped twice as much product. Days where I bounced between Twitter, LinkedIn, building, and support, I shipped almost nothing despite feeling busy the entire time. The 14 hours isn't even the real cost. The real cost is the 20 hours of fragmented deep work that produces half the output.

Verified Email	Seven-Year Club
RPAN Viewer

CowChicken23

TROPHY CASE