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In recent months hackers have attempted to extort money from porn stars with big followings, in some cases filling their feeds with pro-MAGA and crypto content.

Everyone is hyping up local-first architecture because of Linear’s speed and the flack Notion is getting for its half-baked offline mode. Keeping data on the client sounds amazing for UX, but the engineering trade-offs are brutal. Unless your users are literally working in tunnels or you have strict privacy requirements, local-first feels like a massive over-engineering trap. Managing CRDTs, conflict resolution, and running database schema migrations across thousands of fragmented user devices is an absolute nightmare. Notion's struggles proved that trying to bolt offline support onto a legacy cloud-first DB just doesn't work well. I wrote a deeper breakdown on the strategic trade-offs and what the sync problem actually costs to solve here: https://buildmvpfast.com/blog/local-first-saas-offline-first-vs-cloud-first For most apps, a boring Postgres stack lets you ship fast and validate the product. You can worry about complex sync layers later. For anyone who has shipped a production local-first app, was the snappy UI worth the infrastructure headache? I'd love to get some feedback and hear your war stories on this. submitted by /u/Timely-Ad-2615 [link] [留言]

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JPMorgan can't be pleased by any of this.

Started looking for a tourism dataset on Kaggle for a new project. Found one with real UNWTO data, but it only went up to 2022 — not enough for what I wanted (post-COVID trends). Then found a better-looking one: "Global Tourism & Travel Trends (2019-2024)," 24 upvotes, great coverage range. Almost picked it on the spot. Then I actually read the full description. Turns out it's synthetic — 10,000 generated records, not real recorded stats. Had to rename the whole project: from "Travel Recovery Analysis" to "Travel Behavior & Satisfaction Trends (2019-2024)" — same dataset, just honest framing. Still great for practice: 33 features, zero nulls, covers spend, satisfaction, eco-choices, transport modes. Anyone else ever almost build a project around the wrong assumption about their data? 👀

Apple is still holding some of its iOS 27 cards close to its chest.

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