Five Links (and three graphs) by Auren Hoffman • 389 implied HN points • 19 Feb 26
- Most recommendation systems suck because the companies behind them aren’t actually trying to give genuinely useful suggestions, so feeds end up incoherent or just more of what you already did.
- We already have the algorithms and the data to build much better recommendations — research like the Netflix Prize showed it’s doable — but firms rarely deploy those solutions at scale.
- The root problem is incentives: recommendations are treated like ad space or a way to push owned products, and without competition or the right metrics platforms won’t prioritize what’s best for users.