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- The New Rules: How Gen Z is Rewriting Business, Tech, and Community
The New Rules: How Gen Z is Rewriting Business, Tech, and Community
Welcome back to GenZtea's Newsletter, where I break down trends, industries, and tech with a Gen Z lens.
Welcome back to GenZtea's Newsletter, where I break down trends, industries, and tech with a Gen Z lens. I'm Natalie Neptune and I'm so happy you're here.
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The Creator Economy Revolution
There's a shift happening in how communities are built, events are hosted, and professional networks are grown. Traditional corporate approaches are losing ground to creator-led strategies that move faster, include more people, and generate better results.
Here's what we're covering in this edition:
The Brainrot Hackathon Case Study - How one Instagram creator grew a $500 hackathon into a $5,522 viral phenomenon with 35 sponsors in 4 days
UGC Content Strategy - What actually drives engagement in 2025 and why AI fatigue is reshaping content creation
21 LinkedIn Writing Strategies - The playbook for viral LinkedIn content based on 150+ weekly B2B publishing assets
The Future of Recruitment - Why AI interviews are outperforming human recruiters and which startups are leading the revolution
But first, let's dive into this newsletter's theme... Creator-Led Business Models That Actually Scale!
As traditional institutions struggle to adapt, individual creators are building million-dollar businesses by leveraging authentic expertise and social reach. I've been tracking these patterns closely, particularly because they align with what we're seeing in the Gen Z entrepreneurship space. Some key developments I've been analyzing:
Creator-led hackathons generating more sponsor interest than university-hosted events
AI recruiting startups founded by 21-year-olds hitting $2B valuations in months, not years
LinkedIn creators consistently outperforming corporate marketing teams in B2B engagement
Community-first business models scaling faster than traditional SaaS approaches
As someone who's built GenZtea into a recognized voice in the startup ecosystem and been named a LinkedIn Top Voice, I've developed insights into what makes creator-led businesses succeed where traditional models fail. The patterns are clear: authenticity beats polish, speed beats perfection, and community beats corporate every time.
Let's break down:
The creator advantage - why individual expertise plus social reach beats corporate resources
Scalable community models - how to build sustainable businesses around exclusive access
The inclusive innovation - why diverse creator-led events outperform traditional conferences
Now... let's dive deep into the creator economy revolution!
The Creator-Led Event Revolution: How One Instagram Hackathon Redefined Inclusive Tech Events
The notion of creator-hosted events isn't entirely new… think back to when influencers first started monetizing their audiences through meetups and workshops. But what happened with Jia Chen's (@jia.seed) Brainrot Hackathon represents something different entirely.
The traditional hackathon model has always been the same. Corporate sponsors write checks, universities provide venues, and judges evaluate projects based on technical merit alone. The barrier to entry remains high, the atmosphere intimidating, and women consistently underrepresented.
Fast forward to November 2024… a 22-year-old with 71K Instagram followers decided to flip the entire model. What started as a $500 experiment became a $5,522 viral phenomenon that attracted 35 sponsors and fundamentally changed how tech events could work.

The Creator Advantage
Jia Chen brought something traditional hackathon organizers couldn't: authentic credibility combined with social reach. As a 22x hackathon winner who dropped out of Disney and Intuit software engineering offers, she had the technical street cred. With 71K Instagram followers, she had the distribution. The combination proved unstoppable.
If you look at how the Brainrot Hackathon positioned itself, the messaging was deliberately different from corporate events. They didn't start with prizes or prestige… they started with accessibility and humor. "Hackathons are too serious, so hopefully this will open it up for people to have fun! This is especially a good hackathon for beginners."

The event structured itself around radical inclusion rather than exclusion. Judge criteria included "how funny it is" alongside technical merit. Prize categories ranged from serious AI challenges to "worst prize" tracks. The positioning was clear: anyone could participate, regardless of skill level.
Here's where the creator model showed its power. Traditional hackathons spend months planning, securing venue partnerships, and coordinating with university career centers. Jia documented the entire process in real-time on social media.
The growth trajectory tells the story:
Day 1: $500 prize pool, basic concept
Day 2: $1,500 with 8 new sponsors, 90K views
Day 3: $2,240 with celebrity endorsements, 140K views
Day 4: $5,522 with 35 sponsors, registration closed due to demand

The transparency became the marketing strategy. "EIGHT NEW SPONSORS IN ONE DAY. The brainrot hackathon has blown up over instagram and linkedin" wasn't just an update—it was content that drove more sponsors and participants.
The Women-in-Tech Innovation
The event achieved something traditional hackathons struggle with: meaningful inclusion. Multiple prize tracks specifically targeted first-time hackers and women, including "This prize is for any interesting project made by a woman, especially if the woman is a first time hacker."
The results validated the approach. Post-event documentation showed "so many people exclaimed that it was their first ever hackathon." The combination of meme culture positioning and explicit beginner support lowered barriers that corporate events couldn't address.

The judge panel reflected this inclusivity focus. Instead of corporate VPs and university professors, Jia assembled creator-judges like Bill Zhang (32x hackathon winner), design creator Grace Ling, and LinkedIn influencer Jade Walters. The diversity of perspectives matched the diversity of participants.
The Economics Behind the Hype
What makes this particularly interesting is how quickly the economics scaled. The sponsor ecosystem ranged from YC24 startup PearAI ($1,050) to individual contributors like Julia Bock ($2 "for a granola bar"). This diversity shows how creator events can monetize at multiple levels simultaneously—major corporate sponsors alongside grassroots community support.

The operational reality wasn't glamorous. Jia documented working "24/7, low hours of sleep, on call messaging sponsors, documenting costs on spreadsheets." But community mentors like Bill Zhang, Rian Corcino, and Dylan Vu provided judge support, showing how creator networks can distribute workload.
The Scalability Question
By day 4, the event had to close sponsorship applications due to overwhelming interest. Jia created a waitlist system for future events, effectively turning overflow demand into pipeline for additional hackathons.
This raises the key question about creator-led events: can they scale beyond individual creator capacity? The Brainrot Hackathon suggests yes, but only with community infrastructure. The judge network, mentor support, and sponsor ecosystem created sustainable systems beyond just Jia's personal effort.
The Bigger Implications
The Brainrot Hackathon proves several things about the future of tech events:
Speed matters. Creator-led events can launch and scale in days, not months, because social media provides instant distribution and real-time feedback loops.
Authenticity beats polish. Participants preferred a creator with genuine hackathon experience over corporate event planners, even if the production value was lower.
Inclusion drives participation. Explicit beginner support and women-focused prizes attracted demographics that traditional hackathons struggle to reach.
Meme culture works. The "brainrot" positioning made technical competitions feel culturally relevant rather than academically intimidating.
Where This Goes Next
The barriers to entry for creator-led tech events have never been lower. Any creator with authentic expertise and social reach can potentially replicate this model. The infrastructure exists—Discord for community, Devpost for submissions, social media for promotion.
The question isn't whether more creators will host events… it's whether traditional corporate hackathons can adapt to compete. When a 22-year-old Instagram creator can attract 35 sponsors and close registration due to demand, the old model looks increasingly obsolete.
For brands trying to reach Gen Z developers, the message is clear: partner with creators who have authentic community connections, not just corporate event management companies. The future of tech events looks a lot more like social media and a lot less like conference centers.
The Evolution Continues
The model is already evolving. Using the Brainrot Hackathon as inspiration, I'm planning my first AI-focused hackathon in partnership with Mariana Antaya, a Microsoft product manager with over 300K followers. Scheduled for September 22nd at 6 pm EST, the event will focus specifically on AI agents—showing how creator-led hackathons can target emerging technical niches while maintaining the inclusive, community-driven approach that made Jia's event successful.

The early metrics suggest similar viral potential. With 111 pre-registrations already secured and sponsorship interest building, the AI hackathon is positioned to replicate the Brainrot model at scale. Companies interested in sponsoring can reach out to [email protected] to secure positioning in what's shaping up to be another breakthrough creator-led tech event.
The Brainrot Hackathon didn't just distribute $5,522 in prizes—it demonstrated how creator-led events can move faster, include more people, and generate better outcomes than traditional corporate hackathons. For an industry struggling with diversity and inclusion, that's not just interesting… it's necessary.
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What’s Actually Working for UGC Content
While hackathons represent one application of creator-led events, the broader shift toward user-generated content (UGC) campaigns reveals similar patterns. The best-performing campaigns share three core traits that traditional marketing struggles to replicate.
What Actually Works:
Clear pain points that solve real problems - saving money, dating struggles, health issues. Content that addresses genuine needs performs better than generic brand messaging.
Emotional storytelling through relatable narratives that tap into personal struggles or drama. People connect with authentic experiences over polished corporate communications.
Strong entertainment value that either solves a problem or makes people want to share. If content isn't addressing a real need, it better be genuinely fun to consume.
The Performance Reality:
The most successful campaigns often aren't the most viral. Consistent, emotionally sticky content outperforms trendy, scroll-stopping posts. Strong value propositions beat flashy call-to-actions every time.

Current Trends Driving Engagement:
Money-saving and side hustle content resonates because people want quick wins, especially in the current economy. Dating and relationship drama drives massive engagement through emotional chaos. Meme-based content works when executed strategically, not randomly. Educational content performs best when rooted in communicating genuine need rather than just skill-building.
The AI Fatigue Factor:
Content can't just be about AI anymore. Audiences are experiencing AI fatigue and need content that includes humor, humanity, or real utility beyond technological novelty.
For Brands Ready to Move Beyond Traditional Marketing:
Brands interested in LinkedIn UGC campaigns can contact [email protected].
Most LinkedIn content dies in obscurity because creators follow outdated advice from 2019. The algorithm has evolved, audience expectations have shifted, and what worked three years ago now gets you ignored.
Here's what actually drives performance in 2025, based on analysis of 150+ assets published weekly across B2B clients and personal accounts that consistently hit viral numbers.
Hook Engineering
(1) Create three hook variations for every post. The difference between 100 views and 10,000 views often comes down to those first seven words.
(2) Lead with specific numbers—especially dollar amounts. "$47K in 30 days" stops the scroll better than "significant revenue growth."
(3) Borrow credibility from recognizable names. "The strategy that got Reid Hoffman's attention" performs better than generic positioning advice.
(4) Hijack trending conversations when relevant. Reference current events that your audience is already discussing to capture existing attention.
(5) Add 20% more edge to whatever hook you wrote. If it feels safe, it's probably boring. Sterile content gets scrolled past.
Content Optimization
(6) Screenshot every post that genuinely stops your scroll. Spend 30 minutes weekly analyzing what caught your attention and why.
(7) Include real photos, even if it feels awkward. Personal imagery builds trust faster than stock graphics or text-only posts.
(8) Publish between 9-10AM in your target audience's timezone. Mid-morning catches people during their first LinkedIn check of the day.
(9) Video underperforms right now. Include it once weekly for relationship building, but don't expect viral reach.
(10) Embrace minor imperfections. Small typos or casual phrasing help content feel human rather than AI-generated.
Storytelling Architecture
(11) Transform every insight into a personal story. Shift from "how to" frameworks to "how I" narratives. Your experiences can't be replicated.
(12) Test short-form, tweet-style posts. Not everything needs to be a dissertation. Concise insights often perform surprisingly well.
(13) Publish your origin story. These consistently generate high engagement because people connect with authentic journeys.
(14) Share monthly progress updates. Particularly effective for founders seeking investor attention or building public accountability.
Distribution Strategy
(15) Promote your best organic content with Thought Leader Ads. Take winning posts and amplify them with modest ad spend.
(16) Recycle your greatest hits. When you find a winning format or topic, use it again within a few weeks. Don't waste proven content approaches.
(17) Take a position on location debates. "SF vs NYC for startups" posts reliably generate engagement through mild controversy.
(18) Create platform-native content. Don't repurpose mediocre podcast clips. Build each post specifically for LinkedIn's audience and format.
(19) Strategically tag larger accounts. When bigger profiles comment, their audiences see your content. Engage thoughtfully, not desperately.
Targeting Psychology
(20) Write for one specific person. Visualize your ideal reader between meetings, scrolling LinkedIn. What would make that individual stop and engage?
(21) Refine that hook one more time. Most creators publish their first draft. The difference between good and viral often happens in revision.
The creators consistently hitting 50K+ views understand these principles aren't suggestions—they're requirements. Implementing even half of these strategies will noticeably improve your LinkedIn performance within two weeks.
The choice is simple: adapt to how the platform actually works in 2025, or keep talking to an empty room.
For executives too busy to manage their own LinkedIn presence: If you're interested in professional LinkedIn management that implements these strategies, contact [email protected].
The Future of Recruitment: Human recruiters predicted AI would fail at job interviews.
70,000 applicants in the Philippines just proved them catastrophically wrong.
A new study split customer service candidates into two groups: some interviewed by human recruiters, others by AI voice agents. The humans running the experiment were confident the AI would bomb. They expected worse interviews, fewer offers, weaker hires. They assumed people would hate talking to machines.
They couldn't have been more mistaken.
𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻: 𝗧𝗵𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗔𝗽𝗮𝗿𝘁𝗵𝗲𝗶𝗱
The results split the hiring world into two realities:
The AI Advantage (Better Outcomes):
• Candidates interviewed by AI received more job offers than those with humans
• AI-interviewed applicants showed up to work at higher rates
• Thirty-day retention was significantly better for AI hires
• When given the choice, 8 out of 10 applicants preferred the AI interviewer
• Gender discrimination reports dropped by nearly 50% with AI interviews
The Human Disadvantage (Messy Reality):
• Meanwhile, human interviewers got tired and started cutting corners
• They improvised questions instead of following structured protocols
• Unconscious bias crept into their decision-making process
• They skipped steps and let personal preferences influence outcomes
• Small talk and charm became deciding factors over actual qualifications
𝗧𝗵𝗲 𝗻𝗲𝘄 𝗵𝗶𝗿𝗶𝗻𝗴 𝗲𝗹𝗶𝘁𝗲 𝘄𝗼𝗻'𝘁 𝗯𝗲 𝗰𝗵𝗮𝗿𝗺𝗶𝗻𝗴. 𝗧𝗵𝗲𝘆'𝗹𝗹 𝗯𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁.
Their advantage: Structured answers to standardized questions, not personality contests
Their preference: Substance over small talk, merit over charisma
Their reality: Less judgment, more focus on actual qualifications
Their future: Access based on skills, not on whether they can make a recruiter laugh
Here's what nobody saw coming: Candidates with lower test scores were MORE likely to choose AI interviews. Not because they thought it would be easier, but because it felt less judgmental and more fair.
The consistency was the superpower. The AI asked every single candidate the full set of questions. It pulled useful details and cut through irrelevant noise. It never got tired at 4pm. It never let unconscious bias determine who got hired.
The Million-Dollar Opportunity:
While everyone debates whether AI will "replace" humans, smart entrepreneurs are building the infrastructure for this shift. Two startups leading the charge:
Mercor just raised $100M at a $2B valuation with their 20-minute AI interviews that evaluate skills and match candidates to roles. Founded by three 21-year-olds, they're pulling in $75M ARR working with the world's top five AI labs, including OpenAI.

Apriora (with their AI interviewer "Alex") from Y Combinator's W24 batch raised $2.8M to conduct real-time video interviews with personalized follow-up questions. Over 90% of scheduled candidates complete their interviews with a 4.5/5 experience rating.
From screening to promotions, every part of talent acquisition is being redesigned. The startup opportunities are massive.
The Bigger Disruption:
This isn't just about better hiring. It's about who gets access to opportunity.
When interviews become less about charm and unconscious bias and more about structured competency evaluation, a completely different set of people get hired. The quiet, capable candidates who never learned to "network" suddenly have a path forward.
One day soon, candidates will walk into interviews knowing they're convincing a machine that won't be impressed by their shoes, won't laugh at their jokes, and won't get distracted by irrelevant factors.
That machine will evaluate them purely on their ability to do the job.
The question: Is this the meritocracy everyone claimed they wanted?
The future of hiring isn't human vs. AI. It's bias vs. consistency. And consistency just won.
Other Events + Resources I Found

The Agave Haus is an online community for Asian women in tech. We host 2 optional mentorship cohorts a year. Apply by September 18: https://lnkd.in/eqNCcRYB
Want to Go Deeper?
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What Does GenZtea Actually Do?
We get this question a lot! While we're known for our exclusive IRL events and newsletter, GenZtea LLC offers a full range of services to help brands authentically connect with the Gen Z startup community.
GenZtea LLC Services
Gen Z Consulting & Advisory - Strategic consulting and ongoing advisory roles on reaching, engaging, and building authentic relationships with Gen Z consumers, employees, and entrepreneurs. From product development insights to workplace culture recommendations and long-term strategic guidance.
LinkedIn Influencer Marketing - Leverage Natalie’s personal LinkedIn network and authentic Gen Z voice to amplify your brand message to founders, creators, and investors in the startup ecosystem.
Sponsored LinkedIn Content - Strategic paid posts on our personal LinkedIn account to reach our engaged professional network with your brand messaging and thought leadership content.
Speaking Engagements - Book Natalie Neptune for keynote presentations and panel discussions on the future of work, Gen Z in the workplace, startup ecosystems, and community building at your corporate events or conferences.
LinkedIn Workshops - Custom workshops for your team on LinkedIn strategy, personal branding, and professional networking specifically tailored for reaching and engaging Gen Z professionals.
Tech Event Strategy & Execution - Full-service event planning and execution for tech networking events, panel discussions, and community gatherings that authentically connect with the Gen Z demographic.
GenZtea Event Sponsorship Opportunities - Partner with us through financial sponsorship, venue partnerships, or product gifting (CPG & food) for our exclusive networking events.
Ready to work together? Reach out to [email protected] to discuss how GenZtea can help amplify your brand in the Gen Z startup community.