Cohorts processed
0
Current view
Upload decks, briefs, and operating files to generate evidence-linked scorecards, SWOT analysis, reviewer heatmaps, and export-ready investor bundles. Every high-stakes claim stays connected to source, confidence, fallback state, and human judgment.
7-day public expiry. Anonymous quick screens stay intentionally time-boxed.
Evidence contract. Results expose citations, warnings, provider, and fallback state.
Founder-led trust. Public claims stay aligned with the current operating reality.
Seven scored dimensions
Upload Studio
Drag in supported files, attach optional structured context, and watch Startup Screener orchestrate the existing single-file quick-screen API into a batch-ready studio. Anonymous results remain public, rate-limited, and expire after 7 days.
Access model
Public
Scoring dimensions
PDF, PPTX, DOCX, and XLSX
Sequential batch orchestration, up to 50 MB per file.
Drop decks, briefs, or operating files here
The backend still receives one file per existing upload contract. The studio queues files locally and keeps merge/reorder guidance as a transparent preview.
Readiness preview
42-58 confidence band
AI assist preview
Suggested merge order, slide reordering, and confidence bands are local guidance until a persistent merge API is introduced.
Step 1
Intake
Step 2
Evidence scan
Step 3
Investor preview
Optional structured supplement
Add JSON context before upload only when the deck needs extra team, traction, or market detail.
Structured context
Paste a JSON object. Invalid JSON is blocked before upload.
JSON object only. Supplements are stored with the submission and surfaced in the full report workflow.
Investor red-flag simulator
Evidence-linked scoring
Every dimension is tied back to extracted slide evidence, flagged gaps, and confidence markers instead of opaque pass-or-fail output.
Role-aware workspace
Participants, mentors, and reviewers move through the same product with the right amount of visibility, privacy, and actionability.
Inside the workspace
Cohort dashboards, benchmarks, annotations, and exports let operators move from single-deck feedback to repeatable screening workflows.
Startup Screener is a founder-led product built and operated by Nay Linn Aung.
Public quick screens expire after 7 days, the current privacy and security posture is documented in dedicated routes, and the founder/company narrative is intentionally presented without implying a larger team or unsupported compliance program.
Founder-led build
Founder & Full-Stack Engineer
The public site now makes the current founder-led operating model explicit instead of leaving evaluator trust to inference.
Retention clarity
Anonymous quick-screen results and stored files are described publicly with the same 7-day retention behavior visible in the product and backend.
Documented trust pages
The public site now exposes dedicated routes for privacy handling, security controls, and explicit non-claims around SOC 2 and broader compliance.
The guide is no longer a hidden supporting page. It explains the decision logic behind opportunity quality, team strength, business model fit, financing, risk, innovation, and failure so evaluators can understand the framework even before they open a report.
Opportunity quality, people, business models, plans, financing, risk, case studies, platform design, innovation, and failure analysis live in one route.
The guide is not just supporting copy for the app. It is a usable entrepreneurship curriculum that explains how better venture decisions get made.
Founders can study the rubric logic in the guide, then move directly into demo reports and the screening workspace with the same framing.
The public site now surfaces live adoption counts plus anonymized benchmark snapshots so the product feels like a working system, not only a design exercise.
Processed cohorts
2
Distinct cohorts with completed deck analysis.
Decks analyzed
5
Completed analyses that reached finished reports.
Reports generated
5
Saved review outputs available to reopen and export.
Benchmark snapshots
0
Cohort-level benchmark records materialized for operators.
Every file moves through the same transparent pipeline: parse, classify, score, cite, and assemble a decision-ready report.
Upload
PDF, PPTX, DOCX, XLSX
Parse & Classify
Extract text and structure
Score & Analyze
7 dimensions + SWOT
Report & Decide
Evidence-linked output
Companies, reports, claims, decisions, signals, and sources connect into a provenance-first graph that grows with every review.
Live evidence graph
12 nodes - 9 edges
Use the public quick screen for a fast first look or move directly into a cohort workspace for saved history and deeper review.
The pipeline extracts text, classifies content, scores across seven dimensions, and assembles SWOT plus narrative feedback.
Founders get clearer revision targets while mentors and program teams get annotations, comparisons, and export-ready deliverables.
That matters when a founder needs concrete revision guidance and a reviewer needs enough context to trust the result.
Confidence warnings, fallback markers, and supporting evidence stay visible so reviewers understand how each result was produced.
The interface surfaces status, queue health, and next actions quickly, which matters when cohorts are moving in parallel.
The new visual direction borrows from modern market-intelligence tools: brighter, denser, and more decision-oriented than a brochure site.
The redesign keeps the product legible for first-time founders while giving operators a stronger sense of throughput, rigor, and control.
Get an immediate investor-style readout, then iterate using structured feedback instead of vague commentary.
Add contextual annotations on top of the machine baseline without losing the underlying evidence trail.
Track a screening queue, compare submissions, and export decision-ready program bundles from a shared workspace.
Run one canonical rubric across venture labs, classes, competitions, and incubator cohorts without criteria drift.
These cards avoid cohort or organization names while still showing the kind of benchmark pattern operators can inspect once multiple reports have been completed.
Benchmark snapshot
Average readiness: 90
Weighted average: 90
Strongest dimension: Problem-Solution Clarity
Weakest dimension: Defensibility & Competition
Average readiness held at 90, with Problem-Solution Clarity leading and Defensibility & Competition still lagging.
Benchmark snapshot
Average readiness: 76
Weighted average: 74
Strongest dimension: Problem-Solution Clarity
Weakest dimension: Team & Execution Capability
Average readiness held at 76, with Problem-Solution Clarity leading and Team & Execution Capability still lagging.