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- Build Your Own Data Moat or Die Trying
Build Your Own Data Moat or Die Trying
Why infra is for rich kids—and the rest of us need street-level data hustles.
VCs fund latency porn. You? You need a pile of proprietary bytes that compounds while you sleep.
Cloud costs don’t scale for mortals. But data that improves itself? That’s a perpetual motion engine strapped to your startup. Beat the infra haves by out learning them every hour.
7 Dirt Cheap Data Moats to Steal
Mapillary – Two founders, two bikes, infinite leaderboard clout. 5 M crowd snapped street photos in 18 months. Google would’ve burned ~$500 K for the same pixels.
IPinfo – Bootstrapped IP API. 40 B monthly calls feed it fresh carrier + VPN breadcrumbs, live map no newcomer can cold-start.
Midjourney – Discord prompts + emoji votes = human labeled art pairs, 24/7. Opinionated dataset → opinionated images.
BuiltWith – Solo crawler running 15 years. Every pass fingerprints more sites; nobody else has the patience (or coffee budget).
Ahrefs – Self funded crawler downloads 8 B pages a day. Backlink ledger rivals Google’s, minus the existential ad biz.
Hotjar (by Contentsquare) – One JS snippet streams user rage clicks from millions of sites. UX footage private to the hive.
Surge AI – Big tech clients pay for labeling; Surge keeps a copy. More jobs → bigger label pile → wider gap for rivals.
The Flywheel Formula
Low Friction Capture – Piggy back on actions users already crave (prompting, clicking, querying).
Immediate Incentive Surface – Give points, insights, or solved pain today. Don’t ask them to donate data “for science.”
Self Reinforcing Accuracy – More usage tightens the signal: freshness, coverage, label density.
Delayed Imitability – Re crawling or re labeling costs cash and months. Fast followers start in a hole.
Keep the Curve Up and to the Right
Two levers decide whether your loop accelerates or stalls:
Lever | Why It Matters | Nail It Like… |
---|---|---|
Feedback Speed | Users must feel the improvement fast. | Mapillary shows new photos on map in minutes. |
Gradient of Novelty | Each datapoint should teach, not duplicate. | Ahrefs dedupes spam so novel pages matter. |
Bonus Playbooks
Hardware Trojan Horse – Subsidize a gadget; harvest telemetry. Whoop bands, Samsara dashcams, John Deere tractors.
Synthetic Sweatshop – GPUs label fake worlds. Waymo’s Carla streets, AlphaGo self-play.
Regulatory Wormhole – Unlock data trapped behind compliance. Plaid (bank APIs), Particle Health (EHRs).
Pick the cheapest loop your balance sheet can stomach, and run it faster than anyone else can replicate.
A 13th-Century Reminder
Hanseatic merchants mapped trade routes each voyage. Better charts → safer trips → more voyages → even better charts. Swap “voyages” for prompts and you get Midjourney. Be the guild that owns the living chart, not just the ships.
Takeaway
Start compounding a dataset competitors can’t afford to rebuild.