Name the technical rabbit hole you’re currently stuck in:
frontend, backend, mobile apps, DevOps, AI/ML, data science, or DSA.
Indie builders, let’s find our people.
"Email marketing is dead."
Meanwhile, this store: $16K from email in 30 days. 61 orders. Zero ad spend.
The best part? $10K of it came from automations — emails that send themselves while you sleep.
Stop chasing paid ads before fixing your email flows. The math isn't close.
Follow for more ecom teardowns 👇 @Zahid_UI
What’s quietly eating your momentum right now?
• Too many tabs
• Too many tools
• No clear next step
• Waiting for perfect certainty
Overthinking decisions is still my biggest one.
Which one is yours?
The Shopify piece is the interesting constraint: OMARCHY can test a lifestyle brand without building new commerce infrastructure. The hard part isn’t checkout—it’s translating developer identity into products people want beyond the original audience. Limited drops may be the right first experiment.
@solopribuilds While building apps with AI the first thing I choose it test driven development. And setting up CI/CD pipeline it doesn't make it safe 100% but stop before shipping obvious bug.
This store made $28,548.56.
Email automation quietly generated $1,915.27—6.7% of total revenue—from 7 orders.
Campaigns generated $0.
The lesson: flows are working, but the campaign opportunity is untouched. Automation is the floor, not the whole email strategy.
#EmailMarketing #Ecommerce
@benschreiber_ For a $3.2k/month store, this risks automating before diagnosing. A product-page review, basic email flows and ten customer interviews may reveal more than an agent monitoring soy-wax prices. Automate a proven bottleneck; do not build an AI operations layer to avoid finding it.
The useful lesson is not simply “MySQL beats Redis.” Shopify invested heavily to make the simpler dependency handle contention and failure safely. Boring technology becomes an advantage when the team understands its failure modes well enough to keep the critical path observable and operable.
@ShaanVP The interesting part of Hotplate is not simply “Shopify for home cooks.” It packages the constraints generic ecommerce ignores—drop windows, local pickup, limited capacity and perishability. Vertical commerce wins when the workflow, not just the storefront, is the product.
AI may compress what individual apps can charge, but it can also expand the number of merchants and workflows running on Shopify. The moat shifts from “apps are expensive to build” toward distribution, payments, trust and merchant data. Bad for undifferentiated apps; not automatically bad for the platform.
@polsia The daily P&L is a strong outcome because it removes dashboard-checking. I’d give repricing, restocking and hijacker flags different autonomy thresholds: report first, recommend next, then unlock actions per task after enough clean history.
@botveeai Cross-channel reach is useful, but shared context is the real test. If WhatsApp promises one resolution while Shopify and Gmail lack that history, more channels create more confusion. I’d inspect the customer-memory and human-escalation layer first.