@sathish-daggula
Data Engineer building products in public with AI
Data Engineer by day, indie hacker by night. Creator of pmhnphiring.com, building a gym tracker next. Shipping solo and writing about every win and fail. Building in public .
Collaborations on indie projects, chatting about vibe coding/AI-assisted development, connecting with other builders shipping in public. Always happy to help fellow indie hackers!
3d ago · 6 min read · The Problem My job board has a simple read path on paper: show “active” jobs, let users filter by location, remote/hybrid, specialty, and recency. In production it wasn’t simple. I had 8,000+ active listings, ~2,000 companies, and ~200 listing update...
Join discussionMar 5 · 5 min read · The BLS projection (35% PMHNP growth from 2024–2034) is a macro signal. The hard part is translating it into a daily system that answers: where are the roles, what do they pay, how fast do they move, and which postings are actually real. How We Turn ...
Join discussionFeb 27 · 5 min read · California shows 693 PMHNP openings in our index. The interesting part isn’t the number—it’s how you get a trustworthy count from messy job feeds, and what the distribution says about metros, settings, and competition. California State Spotlight: 693...
Join discussionFeb 26 · 5 min read · In our pipeline, “PMHNP-BC required” isn’t a nice-to-have string. It’s a high-signal field that determines whether a job matches a clinician at all—so we treat it like structured data, not copy. How We Detect “PMHNP-BC Required” in 500+ Job Feeds (an...
Join discussionFeb 25 · 5 min read · The “DNP earns $10–20K more than MSN” claim is directionally true in our job dataset—but only after you normalize salary formats, dedupe reposts, and separate degree signals from everything else employers pay for. How We Measure the DNP vs MSN Pay De...
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