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🌡️ Update on the CO2 bedroom saga I tried this tip by @jesper_bee We have a bathroom in the bedroom with a vent (for removing humidity after showering), so I kept the door open and vent on Anyway it worked CO2 at night peaked at 850ppm, still a bit high but almost half of before with window closed, improvement Sleep was 95% on WHOOP and gf 91% on OURA (inb4 cancelled for tracking things *omg so neurotic*) Will try window open + bathroom vent open tonight but again sound outside at night is an issue The real solution is an inward vent tube to actual bedroom though, as I think the bathroom vent is outward and doesn't get us to 400ppm CO2 by itself Nice fresh air 💨
@levelsio Get a proper vent in your bathroom, leave the doors slightly ajar, about 20 cm is enough depending on the amount of people inside. Fan noise can be fairly low, some distance from bathroom to your bedroom helps. Most HVAC draws in air from the roof of a building. Particles,
View quoted postthis is the exact SEO checklist I've used for every single product I've launched 20+ products, $8m exit and now $1m+ mrr SEO was the backbone of all of it 💪 here's the sequence: month 1: it's about making Google trust your site month 2: it's about building topical authority month 3: it's when you look at what's ranking position 8-20 in GSC and turn those into your biggest wins most makers skip the foundation and 6 months later they wonder why nothing's moving I put the exact week-by-week breakdown into a free 90 day sprint sheet - every task, in order, linked to the right tool comment SEO and I'll send it over 👇
RT Viv we're on an Open Model mission to help builders create world class agents >20x cheaper than what they have today a couple things have become evident recently: 1. The age of the token subsidy is being pulled back 2. Open Models have crossed an intelligence threshold making them viable for real world agents at a fraction of the cost As teams get exponentially larger monthly bills from the labs, it's worth exploring how many agents today perform just as well using Open Models Check out the numbers on external evals + try it yourself by dogfooding and running on internal evals - @OpenRouter and @ArtificialAnlys have great leaderboards and breakdowns of what people are using. The time investment is definitely worth the massive cost savings - Instead of Sonnet 4.6 (or even 5.5/Opus) try Kimi-2.6, GLM5.1, Deepseek v4 pro, etc - Instead of Haiku try DeepSeekv4 Flash, Nemotron, etc Open models require some tuning to make sure they work well in your harness for your task (another reason why open harnesses are important) The closed models are excellent, there's no need to full-scale rip them out. Often the first use of Open Models is as subagents or using a closed frontier model as an Advisor to an open driver model At LangChain we want to make it as easy as possible to build the best agents in the world as cheaply and quickly as possible. We're leaning into open models heavily across our products and libraries try out an open model in deepagents in just a couple lines and come ride the open model, open harness future
