Content Calendar
July 30, 2026 · View on GitHub
Use this calendar to turn real project work into useful public updates.
Week 1: Cost-Aware CSI 300 Validation
Theme: "Gross factor edge is not net performance."
- Publish the Chinese technical article with the cost-sensitivity chart.
- Post one community-specific version, then leave time to answer comments.
- Use the zero-account Colab as the only call to action.
- Record Colab opens, new stars, and completed reproduction reports separately.
Week 2: Independent Hardware Evidence
Theme: "How fast is masked tensor factor computation on your machine?"
- Publish the exact
make benchmarkcommand and maintainer CPU baseline. - Ask specifically for one CUDA and one Linux CPU result.
- Update
docs/benchmark_board.md. - Add each verified external result to the README community evidence table.
Week 3: Cross-Market Reproduction
Theme: "Reproducing factor IC workflows without proprietary data."
- Re-run the ETF-20 or ten-stock yfinance factor-IC case.
- Publish the factor table even if results are weak or negative.
- Ask for one different public universe, with date range and failures recorded.
- Convert provider rate limits into documented evidence rather than hiding them.
Week 4: One Factor Family Under a Microscope
Theme: "213 factor dimensions in a mask-aware PyTorch engine."
- Explain one factor family with tensor shapes, masks, and warm-up behavior.
- Add a shuffled-label or sign-flip sanity check.
- Publish both successful and failed variants.
- Open one tightly scoped contribution issue based on reader questions.
Reusable Post Hooks
- "I am looking for benchmark results from different CPUs/GPUs."
- "If the quick start fails on your machine, please open an issue."
- "Public-data examples are welcome, especially with clear caveats."
- "Small docs PRs are useful and appreciated."
Metrics to Track
- Stars and forks.
- Issues opened by external users.
- Benchmark reports.
- Public-data reproduction reports.
- First-time contributors.
- README quick-start failures.
- Zero-account Colab opens and completed runs.
- Visitor → Colab and clone → star conversion, where observable.
Publishing Cadence
- Publish at most two substantive community posts per week.
- Separate platform posts by at least 48 hours and rewrite the opening for each audience.
- Spend the day after each post answering comments and turning repeated questions into docs.
- Do not treat views as success unless they lead to a run, report, issue, or contributor.