GitHub

Early signal

Research notes that warn you when papers get retracted

Launched 1mo ago

Signal

Velocity

What this means

50%Vote pace is below typical for Education.

Running at 50% of comparable launches.

14Founder Conviction Index: 14 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability

today

Projected end-of-day votes

4range 3–5

Trajectory

stable

Vote pace holding steady.

Speed vs peers

0.5×

34 Education launches

About

Learning Ledger remembers what you learn from research papers and warns you when a retraction or correction makes it wrong. It checks Retraction Watch and Crossref, decays confidence by field, and flags every claim built on a bad paper. Built with Python, FastAPI, ChromaDB and Gemini for Hacktoberfest. I'm a beginner, so this is a friendly place for first PRs: docs, tests, UI fixes, new features. Fork it, pick an issue, open a PR. github.com/danishjk2156/learning-ledger-AI

AI Summary

Learning Ledger is an open-source tool that tracks research papers and alerts users when a paper is retracted or corrected, utilizing data from Retraction Watch and Crossref. Built with Python and FastAPI, it is designed for beginner contributions and encourages community involvement through pull requests.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum0

Sustained over 6h

Virality0

Spread × engagement

Engagement—

not measured

Signal sources

2 of 6 active

Launch tracking6 readings since we picked it up
AI analysisEducation
Comment intelligencethread not yet analysed
Outside discussionnot checked — domain is a storefront or shared
Revenue signalsno match on this domain
Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.