PERPLEXITY + REVERSE ENGINEER ANYTHING FIVE APPS REBUILT WITHOUT SOURCE CODE FREE UNTIL OCT 31 the clock 31 − 17 = 14 days Perplexity Computer now has a skill built on REA, Reverse Engineer Anything type /reverse-engineer, name an app it studies how the app behaves no source code needed then it builds a working version Perplexity made five to try Figma → layers, auto-layout, multiplayer LibreOffice Calc → formulas, live charts Photopea → masks, color, editable text Harvey → contract search, flag clauses Audacity → trim, mix, fade, export WAV the Figma one is called Assemblage its login page says design together, in real time the fuel up to 10,000 credits per user free for /reverse-engineer tasks until Oct 31 one reply under the announcement asks is this legal? worth holding that thought before you ship anything you build five apps to try fourteen days to try them

THIS MAC MINI IS NOT A COMPUTER ANYMORE it is the worker. phone in hand. Claude Code on the desk. browser open. agent waiting for the next task. that is why developers are buying these boxes. not because Apple made a cute desktop. because $599 once beats $200/month forever when 80% of the work is boring enough to run locally. one machine. $3/month in power. no API meter. no context leaving the room. old setup: Claude Code bill keeps climbing. new setup: the box under your monitor runs the cheap work all day. keep the frontier model for the hard 20%. stop renting the rest.

a chinese builder found the part of local AI nobody wants to price correctly two NVIDIA boxes on a desk. a mess of cables. a terminal open. Qwen3-235B trying to run locally. that is the whole story. one DGX Spark gives you 128GB unified memory. strong enough to change the math. not always enough to hold the monster models alone. so he linked two. now the question changes from: “how much cloud do I rent?” to: “how much memory do I own?” that is the AI hardware shift. cloud GPUs charge you for every experiment. every retry. every overnight run. every agent loop. every fine-tune that takes longer than planned. own the machine, and the meter stops being the boss. the article says $1,999 turned into more than $21K saved in a year. the video shows why that math exists. the model is not sitting in someone else’s data center. it is sitting on the desk eating local memory while the builder keeps the margin.

a builder found a $249 way to stop renting every prompt he put a Jetson board on his desk wired it into his own stack and started moving AI work in-house. that is the whole bet. cheaper than sending every small task to OpenAI. he found the mistake: using cloud models for everything. summaries. classifiers. drafts. small agents. local search. private docs. boring automations that run all day. those jobs do not need a frontier model. they need a box that does not bill per token. Jetson Orin Nano Super is $249. 67 TOPS. 7-25W. local models. no API key. no data leaving the desk. his old workflow was invisible rent. the new one is a tiny NVIDIA board eating the boring layer for about $2/month.