Founder-led team today
1
Current view
Startup Screener is a founder-led product built and operated by Nay Linn Aung.
The current public company story is intentionally straightforward: this is a founder-led screening product with visible trust pages, public evaluation surfaces, and a documented operating posture rather than a larger team presentation that the product cannot support honestly today.
Founder-led team today
1
Scored dimensions
7
Quick-screen retention
7 days
Guide modules
10
Founder background
Founder & Full-Stack Engineer
The public founder background reflected on this site is grounded in supplied evidence: software engineering work across automation, machine vision, AI, and product implementation, alongside Hood College affiliation.
na27@hood.eduCurrent team shape
Startup Screener is founder-led today. The public site does not claim a broader visible team because the current product and operating surface are being presented as they actually exist now.
The current public scope covers the product narrative, frontend and backend implementation context, deployment posture, documentation, and evaluator-facing demo flow.
Trust visibility
Current build
The current build behaves like a working screening workspace. It is not presented as a static brochure and it is not framed as a larger operating company than it is.
Anyone can upload a PDF, PPTX, DOCX, or XLSX file and receive a condensed investor-style overview without creating an account.
Signed-in users move into dashboards, cohort workspaces, reports, annotations, exports, and benchmark-aware reviewer workflows.
Reports keep provider details, fallback markers, warnings, scorecards, and supporting evidence visible so results can be reviewed instead of blindly accepted.
Public guide
The public site includes not only the screening surface, but also the curriculum and research framing that explain why the evaluation system looks the way it does.
Startup Screener includes a public guide that explains opportunity quality, people, business models, pitch logic, financing, risk, platform strategy, and innovation frameworks.
The guide references curated entrepreneurship material and investor-grade frameworks so the public site exposes the reasoning model behind the screening product.
The material is meant to help founders, mentors, operators, and evaluators return to the same venture questions repeatedly rather than treating the site as a one-time landing page.
Roadmap
Future product direction is visible on the public site without being confused for current features or overstated operational maturity.
A natural-language discovery layer that interprets an investment thesis and helps map relevant startups without forcing users through manual filtering.
Structured founder histories, education, prior startup context, and network-aware introduction mapping to strengthen the people side of early-stage review.
Market maps, emerging-space discovery, and forward-looking signals that extend the product beyond deck review into broader startup intelligence.