2,454 tools and products — trending open source, and what gets used in AI and other work.
HaloBattery is a Windows system-tray utility that displays battery levels for wireless peripherals, including devices connected through 2.4 GHz receivers, USB, and Bluetooth. It gives each device a battery-ring icon with a device pictogram, low-battery and charging states, charging animation, notifications, and an exact percentage on hover. The program reads vendor-specific HID reports and standard controller or headset reports for supported mice, headsets, keyboards, and game controllers, while Bluetooth devices use the battery level reported by Windows. It combines receiver and cable readings into one device icon where supported, retains the last value for sleeping devices, and provides diagnostics that list HID devices and raw protocol replies for troubleshooting and adding device support. The repository distributes a ready-made Windows executable as a release ZIP or supports running from Python 3.10+ source. It requires no Python installation when using the packaged executable, is built through GitHub Actions, stores settings and diagnostics under the user's application-data directory, and is licensed under MIT.
OmaPhoto is a layered image editor for Linux, developed first for Omarchy. It provides layers, folders, masks, clipping masks, blend modes, selections, painting and retouching tools, transforms, adjustment layers, layer effects, filters, text, shapes, and image export. It imports JPEG, PNG, TIFF, HEIC, Photoshop files, and camera RAW images. OmaPhoto is a Linux port of Wonder Assembly's macOS Compositor and follows Compositor's tools, menus, shortcuts, and layered project format. It can read and write .comp projects so projects can move between the two applications. Its offline Remove Background feature uses U²-Net through ONNX Runtime; the editor also includes Content-Aware Fill, Gaussian and motion blur, noise, lens correction, and other image adjustments. The project distributes packages for x86_64 Arch, Ubuntu, Fedora, and NixOS systems, and can also be built from source with Docker or a C++20, Qt 6.4-or-later, CMake, Ninja, image-format, RAW-processing, font, and ONNX Runtime toolchain. It is licensed under MIT.
Kit is an email-list platform used as a source from which an email list can be exported before importing it into another email platform.
Substack is a newsletter publishing platform that can serve as the source for exporting an email list before importing it into another email platform.
A free PDF guide covering the prompts and setup instructions for connecting Jev with Claude and other agentic harnesses. It is distributed through the RoboNuggets Skool community; the available evidence does not specify a maintenance or update process.
A private, subscription-based online community hosted on Skool by Jay E for learning how to build and sell AI systems. Its curriculum includes an Agentic AI Masterclass covering Claude Code, Hermes, and the broader AI-agent stack, plus an Agents as a Service course on finding clients and scaling an AI agency. Membership also includes AI lessons and guides, automation templates, access to the Rubric agentic operating system, and a network of AI practitioners.
RUBRIC is a visual command centre for AI agents, centralizing flows, skills, agents, scheduled jobs, generated media, documents, links, and sprint tasks in one dashboard. Its panels include a flow visualizer with pipeline playback, a skill-tree graph that maps capabilities, an agent activity view, a cron calendar, a generations log for image and video outputs, and a markdown knowledge base. RUBRIC is installed by copying a prompt from the RoboNuggets classroom into an AI agent. The agent pulls the repository, installs the scaffold, and configures the tabs; the page says it works with Claude Code, OpenClaw, Antigravity, and other agents that operate in files. The page presents it as free for RoboNuggets community members.
3Blue1Brown is a YouTube educational resource that builds visual intuition in mathematics, including through its Essence of Linear Algebra and Essence of Calculus series.
Machine Learning Crash Course is a free, relatively short online course from Google for Developers covering core machine-learning concepts through interactive lessons. It covers linear and logistic regression, classification, numerical and categorical data, datasets and overfitting, neural networks, embeddings, large language models, production machine-learning systems, AutoML, and model fairness.
DeepLearning.AI courses is an online catalog of AI education from DeepLearning.AI, covering prompting, retrieval-augmented generation, agents, generative models, LLM operations, search and retrieval, AI coding, and related subjects. The catalog is organized into short courses, broader courses, and professional certificates with beginner and intermediate levels, topic filters, and collaborator listings. Featured courses include AI Prompting for Everyone, Build with Andrew, and Agentic AI; the video notes that many courses are free and can be audited.
The Hugging Face LLM Course is a free educational course covering large language models, natural language processing, and the Hugging Face ecosystem. It teaches Transformer concepts and use of Transformers, Datasets, Tokenizers, Accelerate, and the Hugging Face Hub; later chapters cover classic NLP tasks, model demos, fine-tuning, dataset curation, and reasoning models. The course includes code that can be run in Google Colab or Amazon SageMaker Studio Lab, requires good Python knowledge, and recommends prior introductory deep-learning study. It is released under the Apache 2 license, with contributions supported through issues, translations, and the course repository.
The Launchpad Build Cohort is an eight-week, application-based AI engineering program led by Marina Wyss. Participants choose, scope, build, and deploy an AI system rather than receiving a fixed project specification; it is intended for people who can already write basic Python programs, use Git and GitHub, and understand concepts such as RAG, agents, and MCP. The program uses weekly deliverables, a small-group format, live calls, Slack support, and weekly code review. Weeks 1–2 cover project selection and a scoping document; weeks 3–6 focus on building and iterative review; and weeks 7–8 cover deployment, polishing, and a demo. Participants finish with a deployed system, a rehearsed demonstration, a README, and an interview-preparation document based on their project decisions. The cohort is designed for roughly 10 hours of work per week and includes the use of AI coding tools without outsourcing the participant’s technical decisions. The page states that the October 2026 cohort is full and offers a waitlist for the next cohort.
KEDA (Kubernetes Event-driven Autoscaling) is a lightweight Kubernetes component for scaling containerized workloads according to event-driven signals. It works alongside the Kubernetes Horizontal Pod Autoscaler and uses ScaledObjects and scalers to map applications to event sources, including queues, databases, metrics systems, cloud services, and HTTP traffic. KEDA supports deployments, jobs, and custom resources with a /scale sub-resource, including scaling workloads down to zero and back up when events require processing. Its HTTP add-on provides an interceptor that can receive or hold requests while an application has no active pods and help trigger scale-up. The project provides built-in scalers, supports custom and community-maintained scalers, and is vendor-agnostic across cloud providers and products.
QCon San Francisco 2026 is an in-person software engineering conference and training event for senior engineers, architects, and technical leaders, held November 16–20, 2026, in San Francisco. The conference covers applied AI and machine learning, agent orchestration, evaluation and guardrails, API design, architecture, distributed systems, platform engineering, observability and resilience, developer experience, and engineering organizations. Its program is organized into 12 curated tracks with more than 60 presentations from senior practitioners describing systems and practices used in production. Optional half- and full-day training sessions run November 19–20 and cover topics including building AI agents and selecting among agent-development SDKs.
Vortex is an open-source columnar file format for streaming compressed analytical and machine-learning training data from object storage such as S3 to CPUs and GPUs. It separates logical and physical types and uses layouts, zone maps, cascading encodings, and byte coalescing to reduce unnecessary I/O, decompression, and memory copies; its encodings include dictionary arrays, run-end encoding, and bit-packing, allowing computation on compressed data. The format is designed for zero-copy execution with Apache Arrow and integration with DataFusion, DuckDB, and Polars, with scan paths that can use buffer pools, kTLS, and RDMA to move data toward CPU or GPU execution.
Apache DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format. It provides SQL and DataFrame APIs, a query planner, and a columnar, streaming, multithreaded, vectorized execution engine for partitioned data sources. It supports CSV, Parquet, JSON, and Avro out of the box, and can be extended with custom data sources, query languages, functions, operators, and other workload-specific components. DataFusion is developed as an Apache Software Foundation project and is available as libraries and binaries for building database and analytics systems.
DuckDB is an in-process SQL OLAP database management system for analytical workloads. It uses a PostgreSQL-inspired SQL dialect, can run from edge devices to servers, and reads and writes formats including CSV, JSON, Parquet, Iceberg, and Vortex both locally and in object storage. Extensions add functions and format support, while native clients provide APIs for Python, Go, Java, Node.js, C, C++, R, Rust, and ODBC. DuckDB is open source and MIT-licensed, with governance by the independent DuckDB Foundation.
Polars is a Rust-backed data-processing engine that uses Apache Arrow's columnar in-memory format, multithreaded execution, SIMD vectorization, and a lazy query optimizer. Its Python API supports DataFrames, declarative expressions, joins, aggregations, window functions, schema-aware ingestion, and Parquet scanning. The lazy API applies predicate and projection pushdown before execution, while eager operations load data immediately; the page also describes out-of-core processing and PySpark migration workflows. The video identifies Polars as a data-processing engine that can interoperate with Vortex and other columnar-data systems.
KTLS is a Linux kernel facility for decrypting TLS network data in the receive buffer, eliminating a memory copy into user space.
Alpenglow is Solana's new consensus protocol. It is described as aiming to reduce transaction finality from approximately 12.8 seconds to 150 milliseconds.
CCIP 2.0 is Chainlink's cross-chain connectivity technology for connecting traditional financial institutions and on-chain systems. The videos describe it as a faster, cost-efficient, and secure bridge that allows companies to add custom security checks.
ONDO is a tokenized real-world asset project focused on bringing assets such as U.S. Treasury yields on-chain.
TransUnion is a credit-reporting service that receives credit-account information reported for authorized users.
Equifax is a credit bureau and consumer-services company that provides credit reports and credit scores for businesses and consumers. Its services include credit-report monitoring, identity-theft protection, alerts, identity restoration, credit-report locking, fraud alerts, credit freezes, and dispute submission. The company also receives credit-account information reported for authorized users.
Experian is a credit-information and financial-tools service. It provides credit reports and FICO® Scores and offers tools related to credit cards, loans, insurance, and other financial products. In the video context, Experian receives credit-account information reported for an authorized user.
Fellow is an AI meeting assistant that records meetings through a bot or desktop and mobile apps, then produces transcripts, summaries, decisions, topic-based notes, suggested action items, and meeting briefs. It organizes searchable meeting records and follow-up work, with integrations for CRM, project management, documentation, and automation tools. The service is positioned for enterprise and regulated teams and provides security and compliance controls; its site states that customer data is not used for AI training.
ZoomInfo is a go-to-market platform for B2B sales, marketing, recruiting, and revenue-operations teams. It combines business contact and company data with firmographic, technographic, and intent signals to help identify target accounts, estimate revenue potential, find decision-makers, and prioritize outreach. The platform provides people and company search, account intelligence, AI-assisted insights, lead and data enrichment, account scoring, territory management, CRM synchronization, and workflow automation. Its data is gathered through proprietary technology, machine learning, public sources, and a contributory network, and the service integrates with CRM, sales-engagement, and marketing platforms.
Craft is a business-information platform used to check revenue estimates for incumbent businesses during niche validation.
LeadIQ is a B2B sales-prospecting platform for finding company and contact data, tracking buying signals and champion job changes, personalizing outreach, and enriching CRM records. Its tools include browser-based lead capture and CRM synchronization, AI-assisted account and stakeholder discovery, CRM enrichment through Salesforce and HubSpot integrations, and a flexible API for proprietary workflows. The platform can also be used to examine business information such as revenue estimates during niche validation.
Assistant Benchmark is a comparative evaluation of AI assistants created by David Pawlan. It gives different assistants the same real-world prompts, including tasks such as email management, travel booking, and financial administration, and compares their outcomes, follow-up questions, speed, and performance across 16 dimensions. The benchmark is based on ongoing testing of multiple assistants and examines both task execution and the degree of autonomy assistants can usefully take.
ChatGPT voice is a voice-based ChatGPT interface described in the video as accepting spoken instructions during activities such as biking. In the cited use case, it categorized emails, applied labels, replied to messages, and sent calendar invitations.
Databox is an agentic analytics platform for agencies and teams. It connects data from tools, spreadsheets, databases, and APIs, defines governed metrics through a semantic layer, and combines dashboards, reports, goals, and KPIs with AI analysis. Its AI Analyst answers questions using live data, while agents and automations run recurring analysis and follow-up workflows; its MCP capability grounds AI tools in Databox data and business context. The platform states that data is encrypted and access-controlled and is not used to train AI models.
GPT-6 Sol and Luna are two OpenAI models designed for different cost and capability balances. Sol is aimed at harder tasks, while Luna targets high-volume, lower-cost use. The models support adjustable reasoning and discounted prompt-cache usage.
Terminal Bench 4 is a benchmark for comparing coding-model performance across tasks with different difficulty levels.
Unraid is an operating system for self-hosted servers and network-attached storage. It combines NAS storage, Docker application management, and virtual machines on a single system, allowing hard drives of different sizes to be used together. In the cited setup, Unraid provides the network share from which book files are accessed. The official site describes Community Apps with user-created application templates, support for local file storage and server hosting, and a 30-day trial with licenses starting at $49.
This is a self-hosting setup guide for configuring Nginx Proxy Manager and NetBird to access a self-hosted application through a reverse proxy and network connection. It is provided in the NetBird section of TechHutTV's public homelab repository, which contains homelab stacks, templates, and related resources.
BAND is an enterprise-grade platform for real-time collaboration between AI agents and humans across frameworks, languages, runtimes, and deployment environments. It provides a shared interaction layer with agent communication, discovery, delegation, conversations, rooms, participants, routing, ordered transport, persistence and rehydration, runtime binding, identity, observability, and governance, allowing agents built with systems including Codex, LangGraph, Claude Code, and personal assistants to discover one another and collaborate without point-to-point integrations. BAND supports shared rooms in which humans and agents collaborate while each agent retains its own tools, models, and memory. Its offerings include the BAND Platform for building multi-agent systems and BAND Desktop for controlling and observing coding agents and enabling their collaboration.
Graphite is an AI code review platform for teams using GitHub. It supports creating, reviewing, and shipping changes within pull requests, and its evaluation set is built from developers accepting or rejecting its review suggestions. The service is presented as a way to review and deliver software in workflows that include autonomous coding agents.
Arize AI is an AI agent observability, evaluation, and improvement platform. It provides tracing, evaluation, and experimentation, using production signals to support continual improvement of agents. The platform is available through Arize AX and a terminal-based setup.
Microsoft Word is a word processor with an undo function that tracks visible edits and automatic changes, including spelling corrections and the conversion of apostrophes to smart quotes.
Box is an intelligent content-management platform for storing and protecting sensitive data, collaborating internally and externally, and automating workflows on one platform. In the cited context, an agriculture-biotechnology company used Box for storage before moving to Microsoft.
Microsoft is a technology company offering products and services for personal and business use, including Microsoft 365, Copilot, Teams, Windows, Azure, Surface, Xbox, Dynamics 365, Power Platform, Visual Studio, and security products. Its offerings span cloud computing, productivity software, operating systems, developer tools, artificial intelligence, gaming, hardware, and business applications. In the cited context, an agriculture biotechnology company adopted Microsoft as its destination when moving from Box.
WSO2 is an open-source and SaaS software platform for API management, integration, identity, and AI governance in the agentic enterprise. Its Agentic Enterprise Fabric is designed to govern agents, connections, and costs, including securing and managing agents, APIs, AI systems, and MCP across gateways; building workflows spanning agents, people, and systems; verifying and auditing human and AI-agent identities; and providing controlled, observable paths from code commits to production. The platform also serves financial-services, healthcare, and government use cases.
DX is a developer intelligence platform designed by researchers for measuring developer experience, engineering productivity, software health, and AI-human collaboration. It gathers organizational data to identify bottlenecks, assess how developers work, and support data-driven improvements across software engineering teams. Its AI Measurement capability tracks AI-generated code by commit, pull request, team, agent, and repository to assess utilization and impact. The platform also provides AI enablement through a context layer for agents, developer-experience analysis, and engineering-productivity measurement; the associated DX AI Measurement Framework considers utilization, impact, and cost.
Proxmox develops open-source server solutions, including Proxmox Virtual Environment, Proxmox Backup Server, Proxmox Mail Gateway, and Proxmox Datacenter Manager. Proxmox Virtual Environment provides a web interface for managing virtual machines and containers, software-defined storage and networking, high-availability clustering, and related data-center tools. The company also provides documentation, training, enterprise support, and implementation services.
LXC is a lightweight container technology. In the cited setup, it runs a NetBird routing peer.
WireGuard is a cross-platform VPN tunnel and network interface for securely encapsulating IP packets over UDP. It uses a private key for each interface and public keys for peers; its Cryptokey Routing mechanism associates peers with allowed tunnel IP addresses, which select encrypted destinations when sending and act as an access-control check when receiving. The project uses cryptographic components including the Noise protocol framework, Curve25519, ChaCha20, Poly1305, BLAKE2, SipHash24, and HKDF. It is configured through the wg tool and ordinary system networking utilities, supports roaming between IP addresses, and is designed for use from embedded devices to backbone routers.
Pocket ID is a self-hosted OpenID Connect and OAuth 2.0 identity provider that authenticates users with passkeys instead of passwords. It provides group-based access control, LDAP integration, SCIM provisioning, audit logs, a REST API for administration, and resource-specific OAuth tokens with configurable scopes. Applications and APIs can use Pocket ID for passwordless sign-in, while compatible AI applications and remote MCP servers can use it as an OAuth provider.
Dex is an open-source federated OpenID Connect provider developed under the Cloud Native Computing Foundation. It sits between applications and identity sources such as LDAP, SAML, GitHub, Google, GitLab, Microsoft, and other OIDC providers, exposing those sources through a standard OIDC interface so applications do not need separate authentication integrations. Dex is distributed as a single Go binary, container, or Kubernetes deployment, with configuration, clients, storage, and connectors defined in YAML; it includes a login UI and supports Kubernetes single sign-on and local development through a mock connector. In the cited NetBird setup, Dex handles local-user authentication in the background.
TryHackMe is a browser-based cybersecurity learning service with interactive rooms for practicing security concepts, including beginner exercises on finding and exploiting vulnerabilities. It also provides a learning roadmap and offers free learning alongside paid annual subscriptions.
NetBird Cloud is the hosted version of NetBird, a WireGuard-based overlay network and Zero Trust Network Access platform for connecting remote users, cloud infrastructure, on-premises resources, edge devices, and private services without self-hosting the control plane. It provides centralized network management with identity-based access policies, user and group provisioning, network segmentation, DNS configuration, SSO and MFA, device-posture checks, activity logging, and API-based automation. NetBird uses peer-to-peer WireGuard connectivity and is designed to avoid traditional VPN gateways, firewall configuration, and exposed ports. NetBird Cloud is available alongside the open-source, BSD-3-licensed self-hosted edition and offers a free plan.
NetBird Self-Hosted is an open-source deployment of NetBird, a zero-trust networking platform for creating private networks that connect directly to servers and other peers through WireGuard. Its self-hosting setup uses an installation script and can deploy Traefik with automatic TLS, built-in local-user authentication through an embedded Dex server, and an optional reverse-proxy service for exposing resources on the NetBird network. A NetBird client can also operate as a routing peer for services on a Docker subnet, while access policies, remote DNS, NetBird SSH, identity authentication, and service exposure are managed through the platform.
OpenAPPA is an open-source security tool for agentic applications. It sits between an agent and its tools, tracking the sensitivity and trust of data the agent reads and checking every outbound action against a policy before dispatch. Its APPA (Agentic Permissions Policy Algebra) engine uses declarative TOML policies and a pure decision core based on the event log, so it can run in-process from Rust or Python or as a sidecar. The project includes integrations for Claude Code and Amp, with checks applied to tool calls and results. OpenAPPA is currently a preview and RFC, and its configuration and wire interfaces may change.
Hytros is a referral-pipeline blueprint and implementation service for painters and other home-service businesses. It helps businesses establish referral relationships with complementary local companies and provides supporting technology; its site says Hytros sources and secures referral partners and installs its 24-7 LeadLock System.
Codex ChatGPT Web is an unofficial launcher that uses browser automation to make ChatGPT Web models, including available Pro models, selectable as native models inside the Codex coding agent. It preserves ChatGPT Web features such as context, images, streaming, and separate usage limits, and its Full harness mode connects ChatGPT tool calls to the current Codex task's files, terminal, tools, and approvals through MCP. A Zero Risk mode lets users paste prepared prompts and send them manually while using a separate MCP connector. The launcher bundles its browser and runtime, supports macOS, Windows, and Linux releases, and is distributed under the MIT license. It is not an OpenAI API or OpenAI-affiliated product; its browser automation depends on the ChatGPT interface and can be affected by UI changes.
Open Slide is a presentation framework built for AI coding agents. An agent describes a deck in natural language and writes React pages, while Open Slide provides a fixed 1920 × 1080 canvas, scaling, navigation, hot reload, presentation and presenter modes, and an in-browser inspector. Its agent skills support deck creation and slide authoring; the inspector records element comments as source markers that an agent can apply. The framework also manages images, video, fonts, and SVG logos, and exports decks as static HTML, PDF, or editable PPTX files. It is distributed as a pnpm/Turbo monorepo with an `@open-slide/cli` scaffolder and `@open-slide/core` runtime, and produces static builds deployable to standard static hosts. The repository is MIT-licensed.
px0 is a browser-based IDE for reviewing AI-generated code, developed by px0-ai. It provides native Git and GitHub integration for pull-request and unpushed-commit review, including scoped diffs, inline draft comments, staging, commits, and pushes. Its navigation tools include fuzzy file search, symbol outlines, workspace-wide regular-expression search, and virtual rendering for large files, while its browser interface can hand edits to local coding harnesses such as Claude Code, Gemini CLI, Cursor Agent, OpenCode, Codex, Aider, and Goose. px0 is distributed as a static Go binary with no runtime dependencies and can run locally or on a remote server, VM, or container; the project is MIT-licensed.
Elasticsearch is a distributed search and analytics engine, scalable data store, and vector database developed by Elastic. It stores and indexes structured or unstructured text, numerical, geospatial, log, and metric data as JSON documents, which clients submit and query through REST APIs or language clients. Documents are organized in indexes and data streams and become searchable in near real time; supported search modes include full-text, vector, and hybrid retrieval for applications such as logs, metrics, application performance monitoring, security analysis, and retrieval-augmented generation. It can be used as a managed deployment through Elastic Cloud or installed and operated independently. The repository also documents a Docker-based local setup with Elasticsearch and Kibana for development and testing, and Kibana provides tools for exploring indexed data, filtering it, and creating visualizations and dashboards.
Armada is a gaming-focused Linux distribution for supported ARM64 gaming handhelds. Built on Fedora bootc with device support derived from ROCKNIX, it combines a console-first Steam experience with a KDE Plasma desktop in an image-based operating system. It provides ARM64 Steam with FEX translation and Proton compatibility, gaming and desktop modes, over-the-air updates, SD-card boot with optional internal-storage installation, and handheld-focused power, fan, controller, calibration, and per-game compatibility controls. The project assembles bootc images and flashable disk images with upstream-derived packages. Development uses Just and Podman, and Armada's own code is licensed under GPL-2.0-or-later while bundled components retain their upstream licenses. The project describes Armada as prototype software under active development; installation can require bootloader changes that may brick a device, corrupt partitions, or cause data loss.
CodexBar is a menu-bar and desktop application by Peter Steinberger for monitoring usage limits, reset times, credits, spending, and status for AI coding and model providers. Its macOS app supports macOS 14 and later, while a Qt-based Linux desktop app and bundled CLI are also available. It reads provider data through existing OAuth or device-flow sessions, API keys, browser cookies, local configuration files, provider CLIs, and other supported local sources, without storing passwords. It presents provider-specific session, weekly, and monthly windows with reset countdowns, usage and spending charts, cost scans, notifications, status indicators, and optional widgets; supported providers include Codex, Claude, OpenAI, Cursor, Copilot, Gemini, OpenRouter, and many others. The project is distributed under the MIT license.