Cheapest Macbook yet?

gm legends, happy Thursday.

MacBook Neo is the kind of low-price, high-color Apple launch a lot of people never thought they’d see, Supa Social gives you a self-hosted social platform without rebuilding all the ugly community plumbing, and Parsewise is for the people buried under giant document piles, not one neat PDF at a time.

MacBook Neo is Apple’s new entry laptop, and it starts at $599, or $499 for students and educators. It runs on the A18 Pro chip, has a 13-inch Liquid Retina display, and comes in blush, indigo, silver, and citrus, which is a lot more fun than the usual gray-on-gray laptop parade.

🔥 Our Take: A lot of people grew up assuming hell would freeze over before Apple sold a basically $500 Mac, and here we are. The price is the big headline, sure, but the colors matter too. Computers got weirdly scared of personality for a long stretch, so seeing Apple bring back cheap-ish hardware with actual color is just nice.

The winners of the Winter 2025 Orbit Awards for AI Workflow Automation are out, and this one is really about tools that actually run the work, not just sketch a flow and step aside. Product Hunt frames the category around execution: systems that can handle ambiguity, make decisions, and keep things moving end to end.

The lineup sounds like what you’d expect right now: a mix of familiar automation heavyweights and newer AI-native tools carving out their own lanes. If you want the quick read on where the category is heading, and who made the cut, this is the one to open.

Supa Social is a self-hosted social platform built with Once UI and Supabase. It comes with auth, profiles, followers, roles, moderation, notifications, and a flexible feed with multiple post formats, so you are starting from a real working app instead of a half-finished template. It is pitched for things like customer communities, internal hubs, niche networks, and builder ecosystems.

🔥 Our Take: The good part here is not the feed. It is not having to rebuild all the annoying stuff around the feed for the tenth time. If you want your own community, having the ugly bits already handled and still getting to host it yourself is a pretty nice place to start.

Parsewise lets you run AI agents across entire document sets instead of poking at one PDF at a time. It can extract, cross-check, and reason across thousands of files in a single run, with every result tied back to the exact source so you can see where it came from. The setup is no-code and works across different document types, which is the whole point if your work lives in giant messy batches.

🔥 Our Take: This is for people who are sick of pretending document work is just opening one file and asking one neat question. Real document work is fifty tabs, conflicting numbers, and someone asking for an answer by yesterday. Being able to throw the whole stack at one system and still keep the receipts is a lot more useful than another shiny single-PDF demo.