😸 MTV returns

gm legends, happy Monday.

MTV REWIND brings back that old-school music video channel energy in a single tab, Atlas.new turns your spreadsheets into maps people can actually click around, and Cubic 2.0 gives your pull requests an AI reviewer that focuses on the real problems instead of filling your diff with noise.

MTV REWIND is a 24/7 music video site that recreates old-school MTV. You get tens of thousands of videos from the 70s through today, split into themed channels like decades, Yo! MTV Raps, Headbangers Ball, TRL, Unplugged, and more. No ads, no login, no algorithm, just random shuffle doing whatever it wants while you work, cook, or spiral.

🔥 Our Take: There’s something very comforting about having a tab that behaves like a real TV channel again. You turn it on, get Depeche Mode followed by Cardi B followed by something you’ve never heard of, and let it soundtrack your day without touching a feed or search box. It scratches the nostalgia itch and still finds new stuff.

fmerian started a thread sharing the small stack he keeps coming back to every time he launches on Product Hunt: short links and conversion tracking, social scheduling, pixel-perfect screenshots, clean screen recordings, and a live launch-day monitor to watch how things move. Then he flips it back to the community and asks a simple question: what’s in your own launch toolkit, and what do you rely on after the hype to see where real traffic and users come from?

Atlas.new lets you turn spreadsheets and location data into interactive maps in the browser. Upload a CSV or hook up a sheet, style layers, add filters and basic logic, then share a link so people can explore instead of staring at another table. No GIS software, no custom frontend, just data in and a usable map out.

🔥 Our Take: If you have ever begged someone else to put your data on a map and then waited weeks, this feels like payback. The person doing the digging can finally be the person who hits publish, and small tweaks stop needing a whole new ticket.

Cubic 2.0 is an AI code reviewer that runs directly in GitHub and gives instant, context aware feedback on pull requests. It aims for high signal and low noise, with incremental checks on every push, auto updated PR descriptions, synced docs, and a CLI so you can run the same review before you even push.

🔥 Our Take: AI made it easy to spit out giant pull requests, it did not make trusting them any easier. Having something that actually flags the risky parts, stays quiet on the trivial stuff, and keeps the docs in line turns review back into a real safety net instead of a checkbox.