From 9809cc71cbbbf1165b3321f7d0bd30c46a2e21d7 Mon Sep 17 00:00:00 2001 From: Shay Palachy Date: Fri, 29 May 2026 12:41:05 +0300 Subject: [PATCH] =?UTF-8?q?fix(release):=20inline=20footnote=20=E2=80=94?= =?UTF-8?q?=20HF=20card=20renderer=20doesn't=20support=20[^footnotes]?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Convert the [^macro] footnote to an inline parenthetical so the macroeconomic context renders correctly on HuggingFace. Co-Authored-By: Claude Sonnet 4.6 --- release/README.md | 19 ++++++++----------- release/huggingface/README.md | 19 ++++++++----------- 2 files changed, 16 insertions(+), 22 deletions(-) diff --git a/release/README.md b/release/README.md index 8f88356..fc0f100 100644 --- a/release/README.md +++ b/release/README.md @@ -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 +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 diff --git a/release/huggingface/README.md b/release/huggingface/README.md index cb92f72..8d54ff2 100644 --- a/release/huggingface/README.md +++ b/release/huggingface/README.md @@ -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 +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