The Product

Decision intelligence built around the questions collectors actually face.

FlipForge is a Windows private-beta platform that turns authorized listings, user evidence, exact-card controls, market support, grading scenarios, and risk into an explainable candidate state.

Exact-card identity controls
Identity First

The recommendation is only as reliable as the card behind it.

Year, set, card number, parallel, variation, grader, and grade are kept separate. Conflicts trigger review or rejection before evidence affects value.

Exact matching

Base, refractor, numbered parallel, variation, raw, and graded versions are not treated as interchangeable.

Conflict control

Ambiguous or contradictory records are blocked instead of silently averaged.

Evidence Trust

Completed sales, asking prices, and mismatches have different jobs.

FlipForge records provenance and classifies evidence as accepted, review-only, or rejected. The final traceback explains what influenced the outcome.

Accepted

Strong exact-card completed sales support value.

Review

Incomplete records and asking prices provide context.

Rejected

Wrong grades, parallels, duplicates, and stale records stay out.

Evidence accepted, reviewed, or rejected
Grade Intelligence

Test the economics before paying the grading fee.

The public calculator requires probabilities to total 100%. It does not silently normalize weak assumptions.

Scenario result

Probability total: 100%

REVIEW
Expected graded value$168.75
After grading cost$133.75
Expected gain vs raw$13.75

Expected upside is positive but not strong enough to ignore condition, turnaround time, and selling fees.

Illustrative calculator. Real FlipForge guidance is designed to include identity, evidence quality, liquidity, and risk context.

Current Platform

What the Windows private beta is designed to do.

Capabilities may evolve during testing, but these are the core workflows under validation.

Natural-language search

Search in collector-style language and review authorized active-listing candidates.

Supported value

Keep completed-sale support separate from asking-price discovery context.

Confidence and liquidity

Expose evidence strength and market depth rather than hiding uncertainty.

Decision traceback

Retain identity choices, exclusions, warnings, and reasoning.

Outcome review

Compare recommendations with later results to improve calibration.

Local-first records

SQLite remains the source of truth; CSV is controlled import and export only.

Test the product, not just the idea.

Private-beta participants help evaluate whether the guidance is clear, useful, and appropriately cautious.

Apply for Beta