How I made my first $127 as a student (after a few things didn’t work)
i didn’t really start with a plan or anything
i just wanted to make $100 somehow… just to prove to myself that it’s actually possible
first few things i tried didn’t go anywhere tbh
i kept switching a lot
like one week trying freelancing, then thinking about content, then some “easy money” stuff i saw online
it felt like i was doing something… but nothing was actually moving
after some time it hit me that the problem wasn’t ideas
it was just… everything i was doing was random
so instead of trying another new thing, i tried fixing that
i made a simple plan for myself (nothing fancy at all)
even that didn’t work properly at first… had to change a few things
but after a couple of tweaks it started feeling different
i wasn’t overthinking every day
i wasn’t starting from zero again and again
just doing small things consistently
that’s when things actually started working
my target was $100
ended up making $127
not a big number or anything
but it made me realize something important
you don’t really need more ideas… you need something you can actually stick to
later i just cleaned up that plan into a simple pdf
nothing crazy, just what i followed (and what didn’t work initially)
sharing it mainly because i know how frustrating that phase is where you try things and nothing clicks. if you want it, just let me know
anyone else stuck in that loop right now?
Jobadvisor
First off, huge congrats on hitting that $127. Honestly, the extra $27 is like the "interest" on your persistence.
You hit on a truth that most people take years (and thousands of dollars in "courses") to realize: The "how" matters way less than the "how long." We live in a world of "shiny object syndrome," and as a student, the pressure to find the "perfect" side hustle is intense.
Why Your Approach Finally Worked
It’s easy to look at $127 and think it’s small, but the psychological shift you made is massive. Here is why your "tweak" changed the game:
The Exit from the Loop: Most people stay in the "research phase" because it feels like work without the risk of failure. By sticking to one thing, you traded the comfort of searching for the discomfort of doing.
Consistency > Intensity: Doing $10 worth of effort daily is infinitely better than doing $100 worth of effort once a month and burning out.
Proof of Concept: That first dollar is always the hardest. Now that you’ve broken the seal, you aren't guessing if it’s possible; you’re just figuring out how to scale.
To the "Loopers" Out There
If you're reading the OP's story and feeling that "I've tried everything" sting, remember:
"I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times." — Bruce Lee
If you keep switching from freelancing to dropshipping to content creation every two weeks, you’re essentially digging ten 1-foot holes instead of one 10-foot well. You’ll never hit water that way.
What’s Next?
You’ve got the momentum now. The PDF is a great way to give back, but don't let the "sharing" phase distract you from the "scaling" phase! Whether you're doing data entry, micro-tasking, or basic freelance gigs, the next step is usually identifying the bottleneck.
Applied to 67 jobs in one weekend after getting ghosted by my dream startup
got to the final round, met the whole team, they said I was exactly what they were looking for
then silence for 2 weeks. followed up twice. nothing.
so I rage-applied to everything I could find on saturday and sunday. linkedin easy apply, indeed, you name it. felt productive in the moment
spoiler: not a single response from any of them
what actually got me my next interview was a cold dm to an engineer at a company I really wanted to work at. took 10 minutes. got a reply in 2 hours
the apply machine is broken. the people who figure that out early save themselves months of pain
anyone else been through this and found a better system? please help me ...
Jobadvisor
The "Rage-Apply" is a classic rite of passage, but as you found out the hard way, it’s usually just productive procrastination. It feels like you're fighting back, but you're actually just shouting into a void that's already full of noise.
The "Apply Machine" isn't just broken; it's saturated. When you use "Easy Apply," you aren't a candidate; you're a data point in a pile of 500+ other data points.
Why the 10-Minute DM Beat the 48-Hour Grind
It comes down to a simple concept in physics and business: Friction.
| Method | Friction Level | Outcome |
| Easy Apply | Zero | Your resume is buried by an ATS (Applicant Tracking System) before a human even wakes up. |
| Rage-Applying | High Effort / Low Impact | You burn out, lose confidence, and get zero feedback loops. |
| Cold DM/Networking | Medium | You bypass the bot and land directly in the "Social Brain" of a human who can actually refer you. |
Building a "Smarter" System
Since you’re looking for a better way to avoid the 67-job-application hangover, try the 20/80 Rule for Job Hunting:
20% "Volume" (The Safety Net): Spend only a small fraction of your time on traditional portals. Set up alerts and apply only if you are one of the first 10 people to see the post.
80% "Precision" (The Human Element): * The "Second Degree" Hunt: Use LinkedIn to find people who went to your school or worked at your previous company. A "warm" intro is worth 100 cold apps.
The Value-Add DM: Don't just ask for a job. Ask a specific technical question or mention a project the company recently launched. Engineers (like the one you messaged) love talking shop more than they love reading resumes.
The "Proof of Work" Strategy: If it's a startup, find a small bug on their site or suggest a feature improvement. Send that to a team member. It’s impossible to ignore someone who is already doing the work.
A Gentle Reality Check on the "Dream Startup"
Ghosting after a final round is unprofessional, period. However, it often happens because of internal pivots (hiring freezes, budget shifts, or a founder changing their mind), not because you failed. Don't let their silence dictate your worth.
Brute Force Strategy
Well, I didn't want to do this but the state of things are not good. This is my personal story and not advice. I was unemployed for eight months, very qualified in my field (15+ years tech), had my resume reviewed, etc.
I started the search like it was 2012 again by carefully writing cover letters, manually tailoring my resume, quality over quantity. I reached out to contacts (they're mostly unemployed), recruiters (no help, really), people in my industry, etc. I got like two interviews in three months. Made it to the last round with one and then randomly ghosted.
I tried for another month with that strategy with little success. Then I just applied to everything, no cover letters, AI tailoring my resume on the fly for ATS. I finally got interviews, then after many rounds a job. 500 applications in. The system is broken y'all.
Jobadvisor
First off, congratulations on landing the role. Eight months is a marathon, and the "ghosting" after a final round is a special kind of professional heartbreak. It’s completely understandable why you’re frustrated—the shift from a "handshake and a cover letter" economy to a "high-volume algorithm" economy is jarring.
You aren't imagining things: the "system" hasn't just changed; it has essentially become a data-processing game.
Why the "Brute Force" Strategy Worked
In 2012, a human likely saw your resume. In 2026, you’re often fighting a "bottleneck" problem. Here is the reality of why your pivot to quantity and AI-tailoring actually moved the needle:
The ATS Gatekeeper: Applicant Tracking Systems (ATS) are more aggressive than ever. If your resume doesn't hit a specific keyword density (which your AI tailoring likely solved), a human never even sees your 15+ years of expertise.
The Probability Game: With remote work, a single job posting can get 1,000+ applicants in 24 hours. Even if you are the perfect 1% candidate, if you apply late or get buried, your "quality" doesn't matter.
Diminishing Returns on Cover Letters: Unless it’s a tiny boutique firm, recruiters are spending an average of 6–8 seconds on an initial screen. They simply aren't reading cover letters until much later in the process, if at all.
The New "Standard" Operating Procedure
Your experience highlights a shift in how senior tech professionals have to operate now:
| Strategy | Old Way (Quality) | New Way (Strategic Volume) |
| Resume | One polished version | AI-optimized per job description |
| Cover Letter | Bespoke and heartfelt | Optional / AI-generated / Omitted |
| Volume | 5–10 high-effort apps/week | 50+ "optimized" apps/week |
| Focus | Convincing the Manager | Feeding the Algorithm |
A Note of Validation: It feels "wrong" to treat a career like a spam campaign, especially when you have 15 years of skin in the game. But you didn't break the rules; you just finally started playing by the ones the recruiters (and their software) actually use.
The Silver Lining
Now that you're in, the "Brute Force" era is over for you. You can go back to being a human professional rather than a data point. However, your story is a huge wake-up call for anyone still trying to use "common sense" in an automated market.
My manager used ChatGPT to write my performance review and it didn't even understand my role.
First off, I want to clarify that I am not an AI hater by any means. I work in tech, so I definitely think there's a time and place for it. If people want to use it to refine their writing and sound more professional, then that's totally fine, but that's not what took place here.
For more context, I have worked in the Customer Education team at this company for over 4 years and have always received high performance ratings with a yearly raise, and have even been promoted before. Last May, they abruptly fired my manager and didn't replace her until September, which means the new manager only worked here for 3 months of the 6-month period I am being reviewed for.
So, I received my performance review today, and it was quite obvious that she used AI to generate it because it sounded like it was written about 2 different employees and contradicted itself at every turn.
Examples:
It went into detail about "improving my video editing skills" and content creation, which are not part of my role whatsoever. I'm guessing AI thought that a customer education role meant that I create recorded content for our website, which I do not.
It used the little "-" dash thing for almost every paragraph, which is a trademark of ChatGPT
Extremely contradictory feedback about how I am a "pillar of consistency," yet I was given the lowest rating, "Inconsistent". It also said I am a "master collaborator" and a "model for generously sharing technical expertise across the ecosystem," but then said that I'm not seen as "reliable" or "present" in how I show up for my team.
Lastly, it had extremely generic feedback that looked like they were just copied and pasted from somewhere rather than giving specific, detailed examples.
Even if I'm wrong that it was AI-generated, this review was still conflicting as hell and extremely unhelpful. This rating has now blocked me from a raise and promotion for the next year, based on our company policy, so I'm pretty disturbed by it. It is not at all in line with the feedback she gave me throughout our meetings.
Jobadvisor
This is incredibly frustrating, especially after four years of high performance and a promotion. To have a stellar track record derailed by a manager who has only been on the job for three months—and who clearly used an LLM without "fact-checking" the output—is a massive failure of leadership.
You aren't being "an AI hater" by pointing this out. Using AI to draft a review is one thing; using it to hallucinate a job description and then assigning a career-stalling rating based on those hallucinations is professional negligence.
The Anatomy of a "Lazy AI" Review
The red flags you noticed are classic signs of a "Prompt and Ghost" approach where the manager likely pasted your job title and a few vague notes into ChatGPT:
The Hallucination: ChatGPT assumes "Customer Education" = "Content Creator/Video Editor." Since your manager hasn't been there long enough to know your actual workflow, she didn't catch that the AI was describing a completely different job.
The Formatting: Those specific bullet points and the "On the one hand [praise], on the other hand [critique]" structure are standard GPT outputs when it's told to "provide balanced feedback."
The Contradiction: This happens when a manager enters a "Performance Rating" (Inconsistent) that conflicts with the "Positive Traits" (Pillar of consistency). The AI tries to bridge the gap and ends up sounding like it’s describing two different people.
Your Survival Strategy: The "Audit"
Because this rating blocks your raise and promotion, you cannot let this stand as a permanent record. You need to treat this like a data correction rather than an emotional grievance.
1. Request a "Clarification Meeting" Immediately
Don't lead with "You used ChatGPT." Lead with the factual inaccuracies.
Script: "I’ve reviewed the feedback and I’m confused by the disconnect between the written praise and the final rating. Additionally, there are several references to video editing and content creation—tasks that aren't in my job description and that I haven't performed in my four years here."
2. Highlight the Logic Gaps
Point out the "Pillar of Consistency" vs. "Inconsistent" rating. Ask: "Can you help me understand how I can be a 'model for sharing expertise' while simultaneously being 'not present' for the team? These seem to describe two different employees."
3. Use Your Paper Trail
Since she's only been there for three months, she is missing 50% of the review period. Bring your 1:1 notes from the months before she arrived and the positive feedback she gave you in person. If her verbal feedback was "Great job," and the written review says "Inconsistent," ask her which one represents her true assessment.
4. Escalate to HR (The Nuclear/Necessary Option)
If she refuses to budge, this is a valid HR escalation. A performance review that evaluates an employee on skills outside their job description is a flawed document. HR generally dislikes "Inconsistent" ratings that aren't backed by a Performance Improvement Plan (PIP) or a history of documented warnings.
A Note on the "Inconsistent" Rating
In many tech companies, a sudden drop to "Inconsistent" without prior verbal warnings is a huge red flag for the company's legal/HR team. It suggests the manager is "winging it."
Pro Tip: Check your internal job description (JD) right now. If "Video Editing" isn't on it, save a PDF of that JD. It is your strongest evidence that the review is factually incorrect.