nifski
You’re right about it being a bit more difficult to market in an age of constant AI slop.
Personally I have two products that I have created that actually solve a problem, whether or not the product is good or bad doesn’t even matter because getting users is the key.
I would advise you start with friends and family first, just to get some valuable feedback.
Influencer ads and TikTok promotion also is promising — atleast compared to cold outreach or LinkedIn
Hunting for discords or telegram channels or finding where your core audience hang out (not necessarily in real life even though that is useful info) so that you can reach these people and showcase the product.
Ps. I wouldn’t pitch the product like a sale or like you need users. I would pitch it by asking if they could help take a look as I am researching. If you lead with research you will get users
I am a backend-leaning full-stack engineer experienced in building production systems across Java/Spring Boot, Node.js/TypeScript, and Python. I thrive on solving complex backend problems, managing enterprise-grade infrastructure, and automating data-intensive processes.
Engineering Experience & Achievements:
Enterprise Backend & Pricing Logic: Navigated and troubleshot complex, enterprise-grade pricing engines. Traced intricate business logic through the data layer, stored procedures, and configuration scoring systems to accurately resolve high-stakes financial discrepancies. Systemic Problem Solving: Spearheaded large-scale SQL investigations, identifying systemic batch-job failures that affected over 110,000 accounts and billions in stranded funds. Strengthened platform stability by tracing logic mismatches across frontend and backend environments, engineering bulk database corrections, and writing integration tests to validate complex caching behaviors.
Full-Stack Development & Conversion: Led backend development for a content-prediction platform, taking the product from concept to a live environment. Rebuilt high-traffic company websites, driving a 15% increase in user conversion rates through re-engineered React interfaces and optimized backend infrastructure.
Data Engineering & Pipelines: Architected data processing flows and model pipelines in Python, establishing the foundational frameworks for optimization intelligence layers. Engineered automated data ingestion and sanitization pipelines for high-dimensional datasets to support proprietary AI analysis.
Key Projects:
Production Data-Harvesting: Engineered a modular Python/Playwright engine for B2B lead generation, leveraging stealth browsing, proxy integrations, and Pydantic schemas to maintain 99%+ uptime and high data integrity.
Secure Systems: Architected a zero-trust multi-tenant application with database-level isolation, Spring Security 6/JWT authentication, and ACID-compliant PostgreSQL schemas.
Personal Automation: Built and maintained a self-built infrastructure of terminal-based Python CLI tools for daily productivity, automated via MacOS LaunchAgents.