Skills catalog
Pick the discipline that strengthens your next career move.
HackProduct helps you prepare for interviews, transition roles, uplevel on the job, and negotiate from stronger evidence by practicing product sense, systems, data, SQL, coding, and AI-native workflows with Hatch.
Outcome filters
Start from the career goal, then choose the track.
Each skill page shows what the discipline trains, where FLOW applies, and which public reps prove the skill without replacing the full app workspace.
Prepare for interviews
Train the exact moments interviews test: clarifying ambiguity, structuring options, defending trade-offs, and landing a recommendation under pressure, until the pressure stops being the thing that loses you the offer.
Career goalTransition into product
Translate technical depth into product judgment: user framing, metric diagnosis, prioritization, stakeholder communication, and AI-era workflow design.
Career goalGet promotion-ready
Practice the judgment behind promotion: framing ambiguous bets, comparing options, connecting architecture to outcomes, and writing recommendations leaders can act on.
Career goalBuild salary negotiation proof
Salary leverage is strongest when you can show evidence of judgment: decisions you can frame, trade-offs you can defend, and artifacts that demonstrate operating level.
All tracks
One catalog for product, systems, data, SQL, coding, and AI-native work.
Each public hub explains the skill, shows FLOW mapping, previews representative reps, and points toward the career outcomes where that skill creates leverage.
Product sense
Product sense is the skill of making clear product decisions under ambiguity: who the user is, what changed, which metric matters, and what trade-off is worth making.
Architecture under pressureSystem design
System design is the discipline of translating product requirements into scalable components, interfaces, storage choices, and trade-offs.
Schema design for real productsData modeling
Data modeling is how builders represent a product domain so the system can answer questions, enforce rules, and evolve without collapsing.
Product analytics with queriesSQL
SQL practice on HackProduct focuses on business questions: funnels, cohorts, retention, monetization, and operational decisions.
Beyond rote LeetCodeCoding
Coding practice on HackProduct emphasizes the parts AI does not remove: problem framing, edge cases, trade-offs, correctness, and explaining your thinking.
Work judgment with AI in the loopAI-native workflows
AI-native workflow practice trains the judgment behind using models well: what context to provide, when to trust output, how to review it, and how to turn model work into product value.
AI-native data analysis on real datasetsLive data analyst
Live data analyst practice puts you in the driver seat of a real analysis. You direct a Claude Code agent against a live BigQuery dataset to find the cause behind a metric, prove it with numbers, and write a reproducible report.
Turn the right discipline into proof of level.
Run a live loop, get a score, and see the next move.