h100envy (@h100envy)

I BUILT F*CKING GOLD AND ITS CALLED GEMSEARCH repo: while you scroll your feed 6 hours a day my spider does it in 0 seconds whats inside: > spider extension lives in your X feed. scans every post in real time. highlights keywords. collects tickers and links. everything you see - it sees > JEV module groups mentions, kills duplicates, scores author diversity. 3 bots mentioned it - trash. 12 independent accounts - signal > crawler hits sites, github, docs on its own. context youd google for 40 minutes - collected in seconds > 4 role grok verification: signal / product / risks / data sufficiency. four angles on every narrative before you spend a single SOL > dashboard: projects, sources, decisions, unknowns, full history, JSON export. everything in one place > LAUNCH QUEUE. gemsearch generates a token concept straight from the narrative and launches via built in pumpfun executor. other solana platforms - HTTPS adapter. connects to ANY launchpad 5 attempts per 24h. 0.025 SOL per attempt. full budget control reads feed → finds narrative → verifies through 4 roles → generates concept → launches token full cycle. without you. the narrative era is here. only one question - are you scrolling your feed yourself or is the spider doing it for you

LEFT GEM HUNT UNATTENDED FOR AN HOUR. CAME BACK TO THREE NEW GEMS in one hour the system processed hundreds of tweets. filtered out bot rings, drainers, scam patterns, projects with no product. from the entire stream it pulled three projects with real organic activity how it works without you: > jev catches abnormal activity in the feed > crawler follows the links: repo, site, docs, contracts > if everything checks out the project goes to dots > four seats analyze it in parallel: lookout, maker, skeptic, runner > every seat must confirm. one disagrees = project dropped all of this happens while you're not watching. no manual settings. no clicks out of three projects one already launched a token. entered on gem hunt's signal and made 5x just started the terminal and went about my day. came back to a finished result. three projects found, verified and confirmed fully automatically publishing the repo soon. the result blew me away

Google engineer explained how to fine-tune a tiny LLM from 46% to 90% accuracy on your phone in 21 minutes - better than $1500 on-device AI bootcamps. pick Gemma 270M -> generate synthetic task data -> fine-tune with LoRA -> quantize to int4 -> deploy to Pixel and hit 2000 tokens per second. That loop is how a 270M model beats a 70B one on your task, running fully offline in your pocket. Gemma 270M + synthetic data + LoRA + int4 quantization + on-device runtime - that's the stack. Watch and save it, then fine-tune your own tiny agent tonight.

Ex-Berkeley PhD who leads SGLang at xAI explained how they serve Grok on 100K GPUs in 23 minutes - better than $2000 inference-at-scale courses. split prefill and decode -> shard experts across GPUs -> route tokens per expert -> overlap comm and compute -> serve at DeepSeek-API-killing prices. That loop is why xAI runs Grok on SGLang and third parties beat DeepSeek's own API by 5x on cost. SGLang + prefill-decode disaggregation + expert parallelism + AMD MI300 - that's the stack. Watch and save it, then read the article below.

Jensen Huang builds the chips every AI on earth runs on. Lex asked him what every programmer is afraid to ask: will AI replace you? His answer was sharper than yes or no. Coding doesn't die. It explodes. Cheap software means the world wants ten times more of it, and whoever directs the machine takes the demand. The man selling every shovel says the gold rush barely started.