The Missing macOS Layer for Dasung's $2,000 E-Ink Monitors
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Businesses that need process, structure, and consistency. You’ll coordinate clients, systems, or small teams—steady, skill-based work that scales through efficiency and repeatability. A middle ground between hobby and company.
E-ink monitor displaying crisp text, macOS menu bar, eye strain relief icon, Dasung company logo, VS Code editor interface
Everyone's selling dopamine menu templates. The real opportunity: build the social layer where people discover, fork, and share their reset rituals.
AI-generated content now sits at 17-19% of search results. RAG teams manually rebuild allowlists. Build the trust graph as infrastructure before specialized data providers do.
New York and California mandated crisis detection for AI companions. 337 apps need compliance infrastructure by January. None want to build it themselves.
Creators are duct-taping 30-day challenges with Docs + drips. The wedge: “Seasons”—an advent-calendar format for transformation (daily unlocks, spoiler-proof sharing, finite finish line). 100 creators × $50K/yr = $5M GMV; a 10–15% take = $500K–$750K.
Gen Z wants trades, contractors need workers, but matching infrastructure is prehistoric—measurement layer wins, not another job board.
Fashion distributed workwear as identity. High-income professionals want the competence to match—and they'll pay premium retreat prices to earn it.
Main Street collapsed from missing infrastructure, not missing demand. Weekly verified drops with pickup networks create the ritual that turns local preference into $100K+ MRR.
When AI floods every category with free how-tos, human verification becomes the scarce resource worth paying for.
A repeatable system for identifying, validating, and scaling visually demonstrable products through creator-native distribution and structured experimentation.
Enterprise pays $50K+ for trend detection. Microbrands need execution speed. The gap is infrastructure that delivers shippable SKU packs instead of dashboards.
Most newsrooms use AI daily but lack pre-publish safety gates. When prompt remnants ship to print, screenshots go viral and Legal starts asking questions.
A Stanford grad's $280K handset launch proved people pay for phone boundaries—but the durable business is owning offline ritual formats, not selling another cute gadget.
Early dining bookings now exceed late-night slots. The opportunity is building recurring social infrastructure, not another deal marketplace.
AI content abundance collapses trust while regulators demand proof-of-human. A productized agency selling verified founder media becomes the compliance layer, then the standard.
Remote ID broadcasts create a receipt layer for overhead drones. Consumer detection hardware doesn't exist. Neighborhood network effects make shared airspace truth defensible.
A century-old German cheese is selling out because a high school English teacher in Georgia found the laziest lunch in America. Viral recipes consistently cause grocery sellouts. The rails for shoppable content exist—but no one owns the trend-to-cart attribution layer yet.
Google and OpenAI are training users to expect AI-run mornings. The free briefing normalizes the habit. The paid opportunity is vertical execution.
Video drives 58% of TikTok Shop's $33B GMV. The creative bottleneck creates infrastructure opportunity in the protocol layer above commodity UGC.
Gen Alpha drives $101B spending and influences 42% of household purchases. Discovery happens on TikTok. Conversion requires parent approval. The infrastructure gap is permanent.
Beauty influencer trust dropped 8 points while ingredient transparency became Gen Z's top driver. The gap is a compliance infrastructure opportunity.
Organizations accidentally export tracking metadata through pasted links. A focused DLP layer could claim the URL hygiene category before incumbents notice.
Industrial citrus waste holds verified bioactives. The arbitrage isn't making serums—it's becoming the certified supplier beauty brands depend on.
Viral kitchen appliances are training millions in process engineering. The software layer for troubleshooting complex workflows doesn't exist yet.