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On Instagram, the mothers are thrifting

On Instagram, the mothers are thrifting

Late one evening, my phone buzzes — it’s a notification from Instagram: “Clark’s Closet Connection’s countdown has ended.” Excited, I tap into the page, knowing that a fresh batch of coveted secondhand treasures is about to go live.

Within seconds, new posts start flooding the feed. Size 10 Mario-themed sneakers, adorable Moana-print Hanna Andersson pajamas, a vibrant 3T Boden skort — each item is claimed almost instantly. Shoppers, mainly busy moms, comment “me!” to reserve their finds, racing against one another in a first-come, first-served frenzy. Tonight, 36 items are posted; 24 are snatched up before the final listing even goes live.

The woman behind the operation is Ashley Hauri, a Kansas City-based entrepreneur who has turned reselling into a thriving, community-centered business. Once an active seller on platforms like Poshmark, Hauri is part of a growing wave of thrift store flippers shifting their efforts to more personal spaces like Instagram — even though the platform isn’t exactly optimized for online commerce.

“Instagram is one zillion percent not set up for selling,” Hauri admits. “But it’s about the community. I get to watch customers’ kids grow up. I’m connected to them beyond just a sale.”

Why Instagram? Building Relationships Over Transactions

While platforms like eBay, Depop, and Poshmark offer structured selling tools, Instagram allows resellers to build something deeper: genuine relationships. Buyers become more than just transactions — they become part of a tight-knit community. Sellers like Hauri can share life updates, celebrate milestones with their customers, and engage in real conversations.

This shift toward social-first selling reflects a broader trend where authentic connection is becoming just as valuable as the product itself.

The Rise of Resale Culture: More Than Just Saving Money

Although online reselling isn’t new — fashion entrepreneur Sophia Amoruso famously launched her brand Nasty Gal through eBay back in 2006 — the concept of “thrifting” has exploded in popularity over the past decade.

Today, buying secondhand is no longer viewed as a niche hobby; it’s a mainstream movement driven by millennials and Gen Z consumers who prioritize:

  • Sustainability: Secondhand shopping reduces the environmental impact of fast fashion.
  • Uniqueness: Vintage and one-of-a-kind finds offer a way to stand out from mass-produced styles.
  • Affordability: High-quality pieces at a fraction of retail prices are hard to resist.

The numbers speak for themselves: the resale industry is projected to grow nine times faster than the broader retail sector by 2027, according to market research.

Mobile-First Shopping: A Shift in Consumer Behavior

One of the most significant drivers behind this growth is convenience. Thanks to smartphones, millions of shoppers are browsing, buying, and even bidding on secondhand items through apps they already use daily. They no longer need to step inside a brick-and-mortar thrift store to score deals or support sustainable fashion.

Social media platforms like Instagram, TikTok, and Facebook Marketplace are becoming virtual thrift stores themselves — offering curated drops, direct communication with sellers, and a personalized shopping experience that traditional e-commerce struggles to match.

The Future of Reselling: Community Is Key

As the resale economy continues to expand, it’s clear that the next wave of successful sellers won’t just be those with the trendiest inventory. The winners will be those who can build trust, foster community, and create a human-first shopping experience — even in a digital world.

Ashley Hauri’s success story isn’t just about flipping thrift finds for profit. It’s a testament to the power of authentic connection in a marketplace increasingly driven by technology.

In an era where personalization, sustainability, and community matter more than ever, platforms like Instagram — despite their limitations — are proving to be fertile ground for the future of secondhand shopping.

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Meta is pushing deeper into AI territory with new AI-editing tools in Instagram Stories, where users can edit images and videos simply by typing in what they want to modify. From hair color to special effects, the feature upends the possibilities of creators and regular users alike to personalize their content.

Text Prompts Meet Visual Creativity

Until now, Instagram’s AI editing tools were primarily accessible through Meta AI’s chatbot, which required users to interact via direct messages. With this latest integration, however, AI editing becomes native to Stories, allowing anyone to make instant visual edits using plain language commands.

These new edit features come under the “Restyle” menu that can be accessed using the paintbrush icon in Instagram Stories. One can type commands such as “give me a sunset background,” “remove the person in the corner,” or “color my hair pink.” The AI carries out the edit one wants within seconds.

Meta suggests that users only have three primary actions to select from — Add, Remove, or Change — while specifying what they’d like to alter. The AI will automatically add objects, alter appearances, or completely restyle the photo based on what they’ve described.

Preset Effects and Dynamic Video Edits

In addition to custom prompts, Instagram also has pre-select AI effects that can beautify or stylize posts. Filters like sunglasses, a denim jacket, or even a watercolor art effect can be applied.

On video content, the feature does even better — creators are able to superimpose atmospheric effects like falling snow, glowing embers, or cinematic lighting, which makes Stories appear more polished and professional without the necessity of using editing apps.

Privacy and AI Usage Terms

While the new features enable creativity, they come with privacy implications. Being used to introduce users to Meta’s Terms of Service for AI, which allow the company to “analyze photos and videos, including facial data, to make AI better.” According to Meta, it allows its systems to “summarize image contents, edit images, and generate new content based on the image.”

Critics have also had concerns regarding the ways in which such data might be used to train Meta’s broader AI models, though the company has sworn to remain committed to responsible innovation and transparency.

Meta’s Expanding AI Push

The release of AI editing software is just part of Meta’s overall strategy to roll out artificial intelligence on every platform it has, from Facebook and Instagram to WhatsApp. Recently, Meta began beta-testing a “Write with Meta AI” feature, which helps users compose intelligent or engaging comments under Instagram posts.

Meanwhile, Meta’s separate Meta AI app — with its chatbot and new “Vibes” AI-generated video stream — has been picking up steam. According to Similarweb estimates, iOS and Android daily active users rose from 775,000 to 2.7 million over a four-week span as of October 17.

Protecting Younger Users

As a response to increasing complaints from regulators and parents, Meta has also added new parental tools for its AI features. Parents may now shut off chats with AI characters and filter topics that their teens have with the chatbot to provide a safer online environment.

With these new instruments, Instagram is not only emerging as a social network but a creative platform fueled by generative AI. With Meta, OpenAI, and Google competing for leadership, this launch shows how AI is becoming more a part of the social fabric of our era — blurring the line between creativity, technology, and self-expression.

Meta is rolling out red carpet treatment for AI startups with its new Llama for Startups initiative—offering cash, technical support, and exclusive access to its AI engineering team. But beneath the generous facade lies a fierce battle for dominance in the trillion-dollar generative AI market.

What Startups Get From Meta’s Program

  • 💰 **Up to 36,000∗∗(36,000∗∗(6K/month for 6 months) in cloud credits
  • 🤝 Direct engineering support from Meta’s Llama team
  • 🔧 Early access to custom Llama model fine-tuning tools
  • 🌐 Networking with other AI-first startups

Eligibility requirements are surprisingly accessible:

  • U.S.-based incorporation
  • Less than $10M in total funding
  • At least one developer on payroll
  • Building generative AI products

Deadline to apply: May 30, 2024

Why Meta Needs Startups More Than Ever

Despite 1 billion+ Llama downloads, Meta faces mounting pressure:

🔥 Competitive Threats

  • Google’s Gemini and Anthropic’s Claude dominate enterprise adoption
  • OpenAI’s GPT-4o leads in multimodal capabilities
  • Mistral, DeepSeek, and Alibaba’s Qwen are winning open-source favor

🚨 Recent Llama Stumbles

  • Llama 4 Behemoth delayed due to underperformance (WSJ)
  • Benchmark cheating allegations on LM Arena leaderboard
  • Public vs. “optimized” model discrepancies eroding trust

💸 Meta’s Make-or-Break AI Bet

  • Projecting 2B−2B−3B AI revenue in 2025
  • Banking on 460B−460B−1.4T by 2035 (yes, trillion)
  • Spending $900M+ annually just on GenAI R&D

The Hidden Strategy Behind the Startup Play

This isn’t just altruism—it’s a three-pronged chess move:

  1. Lock-In Future Customers
    Startups that build on Llama today become enterprise buyers tomorrow.
  2. Crowdsource Innovation
    Early adopters essentially beta-test new Llama capabilities for free.
  3. Combat Open-Source Defections
    With alternatives like Mistral gaining traction, Meta needs to make Llama indispensable.

What’s Really at Stake?

Meta’s playing a long infrastructure game:

  • 60B−60B−80B earmarked for 2025 data centers
  • Revenue-sharing deals with cloud providers hosting Llama
  • Future Llama API monetization (Zuck hinted at ads/subscriptions)

For startups, the calculus is simple:
✅ Free money and support in a cash-strapped AI winter
❌ Risk of vendor lock-in as Llama evolves

Should Your Startup Apply?

The case for jumping in:

  • If you’re already using Llama, this is free acceleration
  • Early access could provide competitive edge
  • Meta’s engineering insights are gold dust for product refinement

Reasons to hesitate:

  • $36K doesn’t go far with today’s GPU costs
  • Potential IP concerns working closely with a tech giant
  • Llama’s long-term roadmap remains uncertain

The Bottom Line

Meta’s throwing a Hail Mary to cement Llama as the open-weight model of choice. For scrappy AI startups, it’s a rare chance to piggyback on Meta’s war chest—just don’t mistake it for a long-term partnership.

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