AI has dramatically lowered the cost of building.
AI has dramatically lowered the cost of building.
But it hasn't lowered the cost of getting attention.
In fact, discoverability might be getting harder.
Thousands of new AI tools launch every month.
Many are genuinely useful.
Most never get enough users to validate whether they're solving a real problem.
That's why early feedback matters so much.
The goal of an early-stage AI launch shouldn't be "going viral."
It should be:
→ Getting your first users
→ Finding your first use cases
→ Identifying your biggest objections
→ Learning what people actually value
The founders who learn fastest usually win.
Not because they build more features.
Because they shorten the feedback loop.
That's one of the reasons we built EarlyHunt — a place for AI founders to launch products, reach early adopters, and get feedback before investing months in the wrong direction.
What's been the hardest part of launching an AI product for you: building it or getting people to discover it?
#aitools #aistartups #indiehackers #buildinpublic #startupgrowth
