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iasv/deal-preliminary-screening

Rapid batch triage of 10-50+ startups into investment tiers using IASV criteria. Screens for thesis fit, red flags, and prioritizes deep-dive candidates.

72

Quality

90%

Does it follow best practices?

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No eval scenarios have been run

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Advisory

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Overview
Quality
Evals
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Files

SCREENING-CRITERIA.mdreferences/

title:
Screening Criteria
type:
skill
component_type:
skill
version:
1.0.0
audience:
contributor
status:
draft
summary:
Auto-classified skill document
keywords:
skill
tokens:
~1000
created:
2026-04-30
updated:
2026-04-30
tags:
skill

Screening Criteria — Weighted Scoring

Updated 2026-04-30 (Ed Feedback)

Key changes:

  • Hardware, consumer, robotics removed from auto-reject list
  • Soft filters replace hard filters for these sectors
  • "Is the core business software/AI-driven?" is the key question for hardware/consumer

Criteria Weights & Signals

screening_criteria:
  traction:
    weight: 0.30
    signals:
      strong:
        - Revenue > $500K ARR
        - 100+ paying customers
        - Clear growth trajectory (>20% MoM)
      moderate:
        - Revenue < $500K but growing
        - 10-100 customers
        - Pilots with named enterprises
      weak:
        - No revenue
        - Only beta users
        - No named customers

  team:
    weight: 0.25
    signals:
      strong:
        - Prior exits
        - Domain expertise (5+ years)
        - Technical co-founder
        - Full-time commitment
      moderate:
        - Relevant industry experience
        - Strong advisory board
        - Young but executing fast (YC-validated)
      weak:
        - First-time founders with no domain expertise
        - No technical co-founder
        - Part-time

  market:
    weight: 0.20
    signals:
      strong:
        - TAM > $1B
        - Clear macro tailwind
        - Regulatory advantage
      moderate:
        - TAM $100M-$1B
        - Growing market
      weak:
        - Niche market
        - Declining sector

  differentiation:
    weight: 0.15
    signals:
      strong:
        - Proprietary tech/IP
        - Network effects
        - Data moat
        - Hardware moat (manufacturing relationships, supply chain)
      moderate:
        - Execution advantage
        - Unique positioning
      weak:
        - Commodity space
        - Many competitors

  stage_fit:
    weight: 0.10
    signals:
      strong:
        - Stage matches fund thesis
        - Check size appropriate
        - Geography aligned
      weak:
        - Too early or too late
        - Check size mismatch

Quick Filter Logic

Hard passes (auto-reject)

  • Stage: Series B+ (too late)
  • No sector is an automatic disqualifier (updated 2026-04-30)

Soft filters (flag but evaluate)

  • Consumer goods, real estate, food: lower historical fit but not excluded
  • Hardware/consumer/robotics: check if AI/software-driven at the core. If yes, proceed. If pure hardware, apply higher bar.

Quick tier assignment (point-based)

SignalPoints
Any revenue+2
10+ customers+2
Enterprise pilot+1
Founder has prior exit+2
Noted as interesting by group+1
Total PointsTier
5+TIER 1: Strong initial signals
3-4TIER 2: Needs validation
Below 3TIER 3/4: Requires deeper review

references

SCREENING-CRITERIA.md

SKILL.md

tile.json