Current repository readingScanned Jul 24, 2026, 5:10 PM UTC
LifeMemory-AI Codebase Valuation
LifeMemory AI is a production-grade personal journaling system that combines traditional journaling with AI-powered memory retrieval and pattern analysis. Built with privacy-first principles, it uses advanced RAG (Retrieval-Augmented Generation) techniques
LifeMemory AI is a production-grade personal journaling system that combines traditional journaling with AI-powered memory retrieval and pattern analysis. Built with privacy-first principles, it uses advanced RAG (Retrieval-Augmented Generation) techniques
RepoWorth$512.09Current measured development value · Less than one active build day
Rebuild complexity74.481/100Profile: Complex
39.6K code tokens52 source filesPython primary language
Authored code39.6K tokens · 5,080 source lines
Complexity74.481/100 · Complex
Primary stackPython
Scan coverage100% · Content scan
RepoWorth development valuation
One valuation, with the evidence behind it.
RepoWorth models the current development value represented by the visible repository evidence. It does not include ideation, intellectual property, business value, product discovery, or sale price.
RepoWorthCurrent measured development value$512.09
Modeled range $409.67 to $614.51
0.3 active build days2.6 engineering hours32.8K implementation tokens
Repository evidenceMeasured at the scanned commit39.6K tokens
5,080 source lines across 52 authored files
0 test files96 dependencies100% scan coverage
Measured RepoWorth history
The current RepoWorth starts the measured history.
This current scan is the first measured point. Later scans add comparable history when the repository changes. RepoWorth is not back-cast onto commits that were never scanned.
Recorded RepoWorth$512.09
Current measured reading
Measurement basisCurrent readingCurrent published repository scanEvidence coverage100%current scanComplexity74/100Measured from code scale and structural signalsMaintainability59/100Current structure, tests, and generated-code balance
This current scan establishes the RepoWorth baseline. Comparable value changes appear only after another completed scan under the same measurement basis.
RepoWorth history compares completed repository scans only when their measurement basis is compatible. Commit activity is shown separately so delivery volume is not presented as code value.
Repository contributors
Top contributors.
Ranked from the public GitHub contributor evidence available at the latest scan. This table describes measured repository activity, not ownership or original authorship.
LifeMemory AI is a production-grade personal journaling system that combines traditional journaling with AI-powered memory retrieval and pattern analysis. Built with privacy-first principles, it uses advanced RAG (Retrieval-Augmented Generation) techniques
License
MIT
Default branch
main
GitHub stars
0
Forks
0
Last public push
Apr 17, 2026
Repository state
Active public repository
Detected language profile174.6KB authored source
Python62.69%
TypeScript28.87%
SQL4.41%
CSS3.28%
JavaScript0.75%
Measured technical evidence
A fuller view of what the scanner found.
These values come from the same immutable repository scan as the headline RepoWorth. They stay tied to the scanned commit so the reading can be inspected against one exact source state.
Maintainability signal59/100
Established based on deterministic repository structure and complexity signals.
Production source39.6K tokens
First-party implementation tokens eligible for the modeled code-scale input.
Test evidence0 tokens
0 detected test files contribute separately from production code.
Configuration and infrastructure824 tokens
1 manifests and 0 workspace boundaries were detected.
Documentation14K tokens
9 documentation files remain visible as a distinct enablement signal.
Integration surface282 signals
96 dependency declarations and 20 public-interface signals were measured.
Repository structure3 levels deep
0 large files and 477 branch signals add structural context.
Excluded from authored evidence0 files
0 generated files were identified. Ignored and generated material does not inflate RepoWorth.
Technical effort profile
What makes this repository harder to rebuild.
Code scale, branching, dependencies, languages, structure, and visible test evidence shape the implementation and verification effort represented by this repository.
Code scaleModerate
Measured from the current source archive.
ComplexityHigh
Derived from branch density, dependencies, languages, and code scale.
VerificationLow
Measures visible test code relative to the source corpus.
Development effort composition
Source volume alone does not explain the work.
This view separates authored evidence from the implementation, integration, verification, and engineering oversight represented by the current repository.
Reading boundary: These are modeled development inputs for the visible code. They do not include product discovery, company value, private systems, or commercial outcomes.
Weighted authored evidence32.8KProduction, tests, configuration, and documentation
Estimated implementation output32.8KImplementation, retries, integration, and verification
Engineering oversight2.6 hoursOrientation, integration, tests, and review
Active build time0.3 daysModeled effort represented by the current source state
Evidence boundary
What this valuation includes.
CodeValuation.com counted supported authored source on commit 3a3df7ef8840b98040a32d154e7cc0c37f808b6c, measured deterministic repository signals, then estimated implementation, rework, testing, integration, and engineering oversight.
Common generated and vendored files, build output, dependencies, lockfiles, minified assets, binaries, media, and private systems outside this repository.
Not claimed
Ideation, intellectual-property rights, security posture, production reliability, company value, sale price, revenue, user value, proprietary data, or the cost of discovering the original product.
This is a modeled current development valuation for the repository's visible code at a specific commit. It reflects code volume, implementation output, complexity, and engineering oversight. It is not a business valuation, investment appraisal, security review, or estimate of sale price, ideation, intellectual property, revenue, users, brand, proprietary data, undocumented domain knowledge, or private infrastructure.
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