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Stop asking AI for startup ideas
that is how you get slop
build a pain radar instead
the system is simple:
public complaints
> Airtable
> AI pain extraction
> weekly clustering
> opportunity score
> landing page
> manual MVP
> build, pivot, or kill
the key is finding repeated pain with buyer evidence
you are looking for phrases like:
“I hate doing this manually”
“does anyone know a tool for this”
“I’m still using a spreadsheet”
“this takes hours every week”
“alternative to X”
“X is too expensive”
“why is this so hard”
start with one buyer and one workflow
example:
buyer: independent recruiters
workflow: turning screening notes into client-ready candidate summaries
then collect signals from official or approved sources
> Reddit for depth
> X for speed
> YouTube comments for education demand
> reviews for competitor pain
> forums for weird edge cases
do not scrape like an idiot
use APIs, Brand24, alerts, licensed tools, or manual collection
store only what you need, then score every signal:
pain severity /10
urgency /10
frequency /10
willingness to pay /10
AI automation potential /10
overall score /100
one complaint is nothing
30 to 100 high-signal complaints become a market map
cluster them weekly, then score the opportunity:
volume and recurrence: 20
pain severity: 20
urgency: 10
workaround ugliness: 10
buyer intent: 10
gap vs existing tools: 15
monetization plausibility: 10
build feasibility: 5
deduct for legal risk, weak buyer identity, weak distribution, and hype-only evidence
only test clusters above 70
and the test is:
> landing page
> Tally form
> 20 to 50 manual DMs
> manual beta
> paid pilot
the 100x idea does not come from AI brainstorming
it comes from watching real people repeat the same complaint until the business becomes obvious
hoeem@hooeem
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