
Deepwrk.io
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Deepwrk is an online coworking and body doubling platform that helps adults with ADHD focus, escape distractions, and achieve more.
It integrates coworking, gamification, and community to help people with ADHD focus, escape distractions and get more done when working from home.
The platform facilitates body doubling sessions, which help members start, stay on track and complete tasks. Users join online deep work sprints and complete their individual tasks in the presence of others. These sprints serve as an anchor that helps those with ADHD avoid distractions, boost motivation and maintain focus.
The deep work sprints are typically 1 or 2 hours long. During these sessions, members join a small group where they share goals, work on their individual tasks (in silence) and, in the end, check in to discuss progress.
Deepwrk also empowers users to track their progress and provides incentives to maintain focus and consistency. The platform combines gamification rooted in behavioural science with a sense of community to make even the most challenging and tedious tasks more enjoyable and easier to complete.
Deepwrk is a platform specifically designed for people with ADHD who work remotely or from home. It brings out the best parts of the office - a sense of community and gentle social accountability - without the dreaded commute and relentless distractions.
Above else, Deepwrk is a community for ADHD adults to do more and feel supported, connected, and understood."
Deepwrk.io
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Deepwrk.io's answer
We have designed and built Deepwrk specifically for the ADHD and Neurodivergent community. However, you donโt need a formal ADHD diagnosis to join or use the platform. In fact, we welcome anyone who wants to benefit from focused, uninterrupted work.
Deepwrk.io's answer
Deepwrk is fighting against the unbalanced work-life divide for the neurodivergent community, who often find themselves isolated, stressed, and burned out from a lack of support. We want to unlock the power of deep work and the sense of accomplishment and satisfaction that comes with it. And we believe that the future of work is not just about working from anywhere but also about working with anyone.
Deepwrk.io's answer
Above all else, Deepwrk is a community where adults with ADHD can get more done solo, not alone. Our goal is to empower neurodivergent adults to do more and to feel supported, connected and understood.
There is still a stigma around mental health, and finding support and sharing your experiences at work or with family and friends is often difficult.
We want to change that by creating a safe space where you can connect with people who get it. A space where you can feel supported and understood. A space where you can motivate each other and celebrate wins together. And we want everyone to experience the wonder of online body doubling in a supportive and kind environment that makes you feel awesome!
Deepwrk.io's answer
The unique combination of gamification rooted in behavioural science with a sense of community and online coworking/body doubling on-demand.
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Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
Focusmate - Distraction-free productivity via virtual coworking
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Flow Club - Feel good getting work done
NumPy - NumPy is the fundamental package for scientific computing with Python
Cofocus.One - Cofocus connects people for 50 minute 1-1 video sessions for mutual accountability, to stay focused and be productive.
OpenCV - OpenCV is the world's biggest computer vision library