Daniel Hernandez

Daniel Hernandez

Just building & shipping

About

Currently starting my journey building SaaS. Excited to launch

Badges

Tastemaker
Tastemaker
Tastemaker 10
Tastemaker 10
Tastemaker 25
Tastemaker 25
Tastemaker 5
Tastemaker 5
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Maker History

  • PayTrack
    PayTrackGet paid faster, manage payments smarter
    Nov 2025
  • EliteOlympus
    EliteOlympusManage your diet automatically
    May 2024
  • 🎉
    Joined Product HuntFebruary 9th, 2024

Forums

Kavyashree S•

2mo ago

Why I am building a behavioral fintech app that connects emotions with savings

Growing up in a middle-class Indian household, I've learnt that savings isn't just about money.
There's a strong emotional and cultural association with financial wellness.
Money in India is tied to far more than income and expenses.

  • guilt ( I should be saving more )

  • fear ( What if something happens tomorrow? )

  • comparison ( everyone my age is doing better )

  • family pressure ( I can t afford to fail )

Statistics have shown that Indians struggle with daily savings habits as well.
Having seen this in my own family, I came up with a solution to connect emotions to savings, to reward the smallest wins of saving daily.
What do you all think of this?? Have you also noticed the same?? Or am I taking this differently?

Ash Bhatta •

2mo ago

AI cannot fix a bad resume. It can only polish it.

Here is the issue we ran into while building CareerButler V2:
We built this powerful AI to tailor resumes to job descriptions. But we noticed that if the user uploaded a weak resume to start with, the AI couldn't save it.
If your resume says "I led a team to success" without any numbers, the AI doesn't know what 'success' means. It can't optimize what isn't there.
So it either:
Polishes the fluff (still useless).
Starts hallucinating and making up numbers (dangerous).
We realized we couldn't just build a 'tailor'. We had to build a 'fixer' first.
It's called Resume Critique.
Before we begin optimizing your resume for a specific job, we force a deep scan. It parses your resume section-by-section to fix the foundation.
We actually highlight the specific bullet points that are weak, right on the screen, and give you tips on exactly how to improve them.
And I don't mean generic advice like 'Add more metrics.' That is lazy.
I mean specific, actionable pushes.
Here is the difference between Generic Advice vs. CareerButler V2:
Generic Tool: "You should add more metrics."
CareerButler: "In your role as Project Manager, you listed 'Led a team to success.' This is vague. Consider adding the team size and a specific outcome. For example: 'Led a team of 10 engineers to deliver the product 2 weeks ahead of schedule.'"
Generic Tool: "Your summary is too long."
CareerButler: "Your professional summary is currently 6 sentences long. Recruiter heatmap research shows they stop reading after sentence 2. We recommend cutting this down to a highlight reel of your top 3 hard skills."
It s like having a career coach proofread your resume before you start applying. It stops you from optimizing a bad resume.
Fix the foundation first. Then tailor it.
We are launching V2 on Product Hunt this Sunday. Come see if your resume passes the check.

Daniel Hernandez•

2mo ago

PayTrack - Get paid faster, manage payments smarter

Transform your payment chaos into predictable cash flow. PayTrack helps freelancers and small businesses get paid faster with automated payment links, real-time tracking, AI-powered insights, and smart alerts. Start sending payment links in one click.
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