A brutally honest second opinionon your next idea.

Describe your idea in plain English. An AI panel pressure-tests market fit, competitors, and execution risk in about two minutes. No sugarcoating.

Evaluate Your IdeaSee a sample verdict
Private by default
Cross-referenced against live market & competitor data
Average evaluation time: ~2 min

How It Works

From Idea to Verdict

  1. You pitch

    Describe your idea in plain English — startup, product, feature, content angle, or side-project.

  2. We dig

    An AI panel pressure-tests your idea — market fit, competitors, execution risk, and the blind spots founders tend to miss.

  3. You get the truth

    A structured evaluation with a clear verdict, red flags, and an actionable plan — so you can decide before you commit time and money.

Input Data
Analyzing...
Converging
Score: 82
82
Advocate
Judge
Skeptic
Researcher

Sample Evaluation

See what an honest review looks like.

Illustrative output for a fictional product scenario. It shows the report structure; your evaluation uses live market and competitor research.

Analysis Complete

Lumen: Support Tickets → Product Roadmap.

An AI tool that mines customer-support transcripts and surfaces ranked product opportunities for SaaS teams.

Predikt Score
73
Watchlist
Key Drivers
  • ●Tech & Feasibility (82/100)
  • ●Market & Demand (76/100)
  • ●Execution (65/100)
Risk Level
35
Moderate
Key Drivers
  • ●Lock down a SOC2 + GDPR plan before writing the first connector
  • ●Decide pricing model (per-seat vs per-ticket) before talking to design partners
  • ●Pick one connector (Zendesk vs Intercom) for v1 — don't try both

PrediktWhat this score means

The Predikt Score is a weighted assessment of your idea’s viability based on technical feasibility, market positioning, execution readiness, and AI strategy strength. Scores above 75 indicate strong potential; 50–74 suggests promise with notable risks; below 50 signals significant concerns.

Score breakdown:
Technical (82)
Technical
Measures feasibility & technical moat. Improve by detailing proprietary tech or unique architecture.
+
Market (76)
Market
Evaluates demand & competition. Improve by defining specific audience & validating against real competitors.
+
Execution (65)
Execution
Judges team capability & roadmap. Improve by highlighting relevant experience & realistic staging.
+
AI (71)
AI Strategy
Assesses model/data differentiation. Improve by securing unique datasets & avoiding generic wrappers.
● 75+ Strong Potential● 50-74 Watchlist● <50 Pass

Why Trust This Evaluation

Evidence Coverage
81%
Confidence
high
Debate Tension
42/100
Verifier
pass
Data Freshness
2026-08-13 16:49
Model Route
Skepticgpt-5.2
Advocategpt-5.2
Researchergpt-5-mini
Judgegpt-5.2
Judge (backup)gpt-5-mini
Verifiergpt-5-mini
Reliability Notes
  • •Illustrative competitor evidence is included to demonstrate the report format.
  • •The fictional scenario passed internal consistency checks.
  • •Founder traction signals are sample inputs, not real-world claims.
  • •Committee disagreement is shown within expected bounds.

The Skeptic

WAIT

"Pendo and Productboard already own the PM mindshare. You'll spend a year just getting on the consideration list."

Predikt

The Advocate

BUILD

"Three signed design partners before a line of code. That's rare. Ship the connector, charge for it, expand from there."

Predikt

Interactive Radar Sandbox

Select a dimension to inspect

Interactive Action Plan

Projected Score:73

AI Strategy Deep Dive

Model Quality
Model Quality
Architecture & capability. Improve: Use specialized models (fine-tuned LLaMA/Mistral) over generic wrappers.
74/100
Data Moat
Data Moat
Exclusivity of training data. Improve: Integrate unique data loops or exclusive partnerships.
68/100
Acquisition
Acquisition
User growth & feedback loops. Improve: Define clear distribution channels beyond 'organic'.
72/100
AI Reasoning ChainClick to expand
  • 01.Mapping ICP: product teams at SaaS companies, 50–500 employees...
  • 02.Cross-referencing competitive landscape (Pendo, Sprig, Productboard)...
  • 03.Pressure-testing willingness-to-pay vs seat-based pricing...
  • 04.Stress-testing the data moat against incumbent CRMs...
  • 05.Calibrating execution risk for a 2-person founding team...
  • 06.Synthesizing final verdict...
Predikt

Recommended Next Steps

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Frequently Asked Questions

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