This issue of TLDR Marketing covers nine new LinkedIn features and how to use them, argues that sentiment scores alone miss real social insights, and offers practical tips on subject lines, AI use, and experiment design. It also highlights debates around under-16 social media bans, AI’s role as an augment rather than replacement, confidence scoring flaws, and emerging hybrid AI verification models.

• Yale found zero job losses from AI automation over 33 months, but a 12.2% task completion boost and 25.1% speed gain when used as a helper
• Australia's under-16 social media ban still let 70% of kids retain partial access, showing enforcement limits
• Sentiment scores alone (positive/negative) miss the real insights buried in comment threads and recurring themes
• Rigid p<0.05 significance thresholds can leave up to 25% of potential experimental gains on the table

This article emphasizes the untapped potential of LinkedIn for founders seeking customers and investors. It offers practical tips for creating engaging posts that highlight metrics, build narratives, and leverage pre-existing credibility, while addressing the initial discomfort of posting.

• LinkedIn's algorithm rewards original posts, letting founders with small followings get big engagement—like Salar Shahini's 850+ likes on a funding announcement.
• Posts with concrete metrics (e.g., Rork's 500,000 user-created projects) outperform vague updates and generate real leads.
• Personal, narrative-driven posts about the founding journey build emotional investment from followers, as with Taylor Offer.
• The "trough of cringe" that stops most people from posting is actually a competitive advantage, since simple, genuine posts beat polished ones and most competitors avoid posting at all.