A former pharmacist got tired of drowning in data entry and faxes. Sound familiar? That frustration became the spark for a startup.
Eunice Qu built Asepha—an AI-powered platform that automates the tedious work nobody wants to do. We're talking handwritten prescription processing, verification codes, paper fax handling (believe it or not, those still flood inboxes).
The tech stack? Machine learning does the heavy lifting. The payoff? Healthcare professionals reclaim their time instead of wrestling with outdated workflows. It's a solid example of how identifying real pain points and shipping AI solutions can create actual value. The kind of move more founders should be making.
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JustAnotherWallet
· 4h ago
ngl this is the real problem solving, starting from your own pain points and actually shipping it out, unlike some people who just daydream about concepts... Handwriting prescriptions is really something AI should do; the healthcare system is way too outdated.
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0xSunnyDay
· 2025-12-31 00:50
Haha, no wonder you're a founder who crawled out of the medical trenches. This kind of pain point really hits home.
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SelfMadeRuggee
· 2025-12-30 12:31
ngl It's really incredible that the healthcare industry still uses fax machines, but the approach from a pharmacist's perspective to solve this problem truly hits the mark... Someone should have tackled this long ago.
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GasFeeLover
· 2025-12-30 12:18
Haha, transitioning from a pharmacist to an entrepreneur—this is truly addressing the real pain points, not just imaginary fake needs.
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RektRecorder
· 2025-12-30 12:11
ngl It's really incredible that the medical system still uses fax machines, and I have to say, I respect the pharmacist's move to switch to AI entrepreneurship.
A former pharmacist got tired of drowning in data entry and faxes. Sound familiar? That frustration became the spark for a startup.
Eunice Qu built Asepha—an AI-powered platform that automates the tedious work nobody wants to do. We're talking handwritten prescription processing, verification codes, paper fax handling (believe it or not, those still flood inboxes).
The tech stack? Machine learning does the heavy lifting. The payoff? Healthcare professionals reclaim their time instead of wrestling with outdated workflows. It's a solid example of how identifying real pain points and shipping AI solutions can create actual value. The kind of move more founders should be making.