Skip to content

fix(release): inline footnote — HF card renderer doesn't support footnotes #95

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
shaypal5 merged 1 commit into from
May 29, 2026
Merged

fix(release): inline footnote — HF card renderer doesn't support footnotes #95

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 8 additions & 11 deletions release/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,17 +12,14 @@ tag.
## Why lead scoring matters in 2024–2026

Mid-market SaaS vendors entered 2024–2026 with growth slowing and
customer-acquisition costs rising[^macro], so predicting *which* leads
convert within a fixed window has moved from a marketing nicety to a
survival skill. This dataset teaches that skill on a relational
substrate, with the realistic confusions (snapshot-window discipline,
leakage traps, channel signal weaker than vendor blogs imply) that
students will hit when they finally get hands on real CRM data.

[^macro]: Macroeconomic framing summarised in
[`docs/external_review/summaries/gemini_v2_summary.md`](../docs/external_review/summaries/gemini_v2_summary.md)
(median public-SaaS growth 30%→25% from 2023 to 2025; New CAC Ratio
rose materially in 2024).
customer-acquisition costs rising (median public-SaaS growth 30%→25%
from 2023 to 2025; New CAC Ratio rose materially in 2024), so
Comment on lines 14 to +16
predicting *which* leads convert within a fixed window has moved from
a marketing nicety to a survival skill. This dataset teaches that
skill on a relational substrate, with the realistic confusions
(snapshot-window discipline, leakage traps, channel signal weaker than
vendor blogs imply) that students will hit when they finally get hands
on real CRM data.

## What's inside

Expand Down
19 changes: 8 additions & 11 deletions release/huggingface/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -57,17 +57,14 @@ tag.
## Why lead scoring matters in 2024–2026

Mid-market SaaS vendors entered 2024–2026 with growth slowing and
customer-acquisition costs rising[^macro], so predicting *which* leads
convert within a fixed window has moved from a marketing nicety to a
survival skill. This dataset teaches that skill on a relational
substrate, with the realistic confusions (snapshot-window discipline,
leakage traps, channel signal weaker than vendor blogs imply) that
students will hit when they finally get hands on real CRM data.

[^macro]: Macroeconomic framing summarised in
[`docs/external_review/summaries/gemini_v2_summary.md`](https://github.com/leadforge-dev/leadforge/blob/main/docs/external_review/summaries/gemini_v2_summary.md)
(median public-SaaS growth 30%→25% from 2023 to 2025; New CAC Ratio
rose materially in 2024).
customer-acquisition costs rising (median public-SaaS growth 30%→25%
from 2023 to 2025; New CAC Ratio rose materially in 2024), so
Comment on lines 59 to +61
predicting *which* leads convert within a fixed window has moved from
a marketing nicety to a survival skill. This dataset teaches that
skill on a relational substrate, with the realistic confusions
(snapshot-window discipline, leakage traps, channel signal weaker than
vendor blogs imply) that students will hit when they finally get hands
on real CRM data.

## What's inside

Expand Down
Loading