... narrowed significantly over the past year. For prototyping or exploring a design, the $0.67 run is a good deal. For work requiring correctness and accuracy, Opus 4.7 remains ahead. Any experiences coding with open-weight models? [1]: MiniMax M2.7 vs. Claude Opus 4.6 Comment from Vittal Bharadwaj(@vittal_bharadwaj): Nice breakdown. Indie dev here I build desktop apps, AI scrapers, and complex stuff. Kimi is amazing for prototyping at 19% of the cost. But for production where correctness matters? Claude ... ... they save from tokens and give "another point of view" while reviewing Comment from fmerian(@fmerian): @yodalr  good idea, thanks! it's definitely another angle. cc @dax1 Comment from Lennart Rikk(@yodalr): Can you do Sonnet 4.6 vs

... Lovable to build https://thrivewithai.xyz/ I enjoyed every minute of it, especially tweaking prompts on Lovable to get the best output. Comment from Jaga Deep(@jaga_deep): Right now I'm using traycer ai + github copilot. So far pretty neat with contexts, was able to spin up a simple app in a week. But the token system in traycer is annoying for fast phased development. Comment from Paul Tseluyko(@paultseluyko): @minach  adoption of Cursor is just so huge ... ... understand why Cluade Code is a killer Comment from Paul Tseluyko(@paultseluyko): I actually prefer Claude code or GPT Copilot extension for VSCode

... Ever wanted to peek behind your competitors ad strategies? Now you can with full transparency. I just launched a free n8n workflow that pulls ad creatives straight from Google s Ads Transparency Center, powered by SerpApi. n8n Template link This workflow does the boring stuff for you: Fetches ads by domain (like nike.com or apple.com ) Filters by region Categorizes creatives into text, image, and video Exports clean CSVs for instant analysis All you need to do is hit Test workflow ... ... Journalists or watchdogs verifying political ads Basically anyone who wants clarity in ad transparency. Under the hood Uses SerpApi s google_ads_transparency_center engine Filters exact domain matches only (no messy results) Splits by ad format Exports everything neatly

... overlooked daily chores into proof that every step, sweep, and scrub counts as fitness: ChoreFit turns chores like vacuuming and laundry into measurable workouts, syncing with Apple Health and Apple Watch. It s grounded in Non-Exercise Activity Thermogenesis (NEAT) science and metabolic equivalent values (METs). NEAT

... rolled back without fear. Progressive autonomy Start in copilot mode; graduate to autopilot only when trust is earned. Why a marketer built this (and not an engineer alone) Most automation tools are designed by engineers who assume neatly structured inputs. Real-world GTM data is anything but neat