Does AI know your product exists? Plus a video editor that stayed free
Here is a question most small companies haven't asked yet: when a customer asks ChatGPT or Claude for a tool like yours, does yours come up? NiubiGEO, this week's featured pick, runs those questions for you across six AI providers. It records who gets mentioned and traces the sources behind each answer. It's one of the fastest-growing projects we track right now, so plenty of people are wondering the same thing. One caveat before you run it. Model answers shift with every update, so one run is a snapshot, not a measurement. Run the same questions on a schedule for a few weeks, then look at the trend. The rest of this issue is about getting work done without paying for the privilege. Docling turns PDFs and Word docs into clean data an AI can actually read, and it runs on your own machine. OpenCut is a video editor in a browser tab, built after CapCut put basic editing behind a subscription. Read its catch first, though: the current version is frozen while the team rewrites it. Cline puts an agent inside VS Code that edits files and runs commands with your approval. It's free apart from the API tokens it burns.
Open-source AI brand visibility and competitor reports
The Lens
NiubiGEO checks whether AI models know your product exists. It runs the questions your customers would actually ask through OpenRouter, OpenAI, Claude, Gemini, Perplexity, and DeepSeek, records whether you get mentioned, notes which competitors show up instead, and traces the citations behind each answer. Search rankings used to be the whole game. Now a lot of buying research never touches a results page. Setup is Docker compose or Node 22 and up, a clone, and an env file with at least one provider key. It queries with web search and grounding turned on where the provider supports it, so you pay that provider's per-call rate. A broad prompt set across six providers adds up faster than people expect. Apache 2.0, self-hosted, no license fee. Marketing people and founders at small companies are the fit. Larger teams already pay for a commercial visibility tracker, and this gets most of the same signal for the price of the API calls. The catch is that model answers are non-deterministic and shift with every model update. One run is a snapshot, not a measurement. Trustworthy output means the same prompt set on a schedule over weeks. The tool gives you the harness for that, not the discipline.
Get your documents ready for gen AI
The Lens
Docling turns messy documents into clean, structured data for AI. Feed it PDFs, Word docs, PowerPoints, spreadsheets, images, HTML, email, even audio and video, and it produces Markdown, HTML, or lossless JSON with the layout, reading order, tables, formulas, and code preserved. Started at IBM Research Zurich and now hosted by the LF AI and Data Foundation, it is MIT licensed and free. It is a Python library (3.10 or later) that runs locally, which is the point: documents never leave your machine, so it works in air-gapped or sensitive environments. It plugs into RAG pipelines with integrations for LangChain, LlamaIndex, Crew AI, and Haystack, and there is a CLI, an API server, and an MCP server for agents. Heavy parsing with vision models wants a GPU. Solo to large teams: free, and strong at the RAG-prep job. It is less a raw OCR engine and more a document-to-structured-data framework, the same job as Textract's Analyze Document. Teams that do not want to run it can now buy it: IBM sells Docling for watsonx, a managed version of the same open stack, from $4 per 1,000 pages. The catch is that quality depends on the document. Layout and table understanding is good, but complex or badly scanned PDFs still trip it up. It is a framework, so you own the pipeline and the tuning. Powerful, but not a fire-and-forget API.
The open-source CapCut alternative
The Lens
OpenCut is a free video editor that runs in a browser tab: a multi-track timeline, text, stickers, masks, keyframe animation, effects and auto captions, then export. MIT licensed, no paid tier, no account. It exists because CapCut paywalled basic editing, and its privacy policy says your media never leaves your device, captions included.
Most people just open opencut.app and start cutting; projects live in your browser's storage. Running your own copy means the classic codebase: a Next.js app with Docker Compose for Postgres and Redis, plus a Rust core compiled to WebAssembly. One docker compose up -d does it.
Solo creators and small teams doing straightforward cuts and captions get what they need for free. Teams that want transcript-driven editing or shared review should pay for Descript or CapCut Pro. There is no tier to grow into.
The catch: the live site still runs the classic build (v0.3.0, April 2026), which its own repo marks archived and no longer maintained. The from-scratch rewrite, promising desktop, mobile, plugins and an MCP server, has barely moved since early August, and its desktop app is, in the project's words, just a window that opens. Nothing you can use today is getting fixed.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
The Lens
Cline is an open source coding agent: it reads your project, edits files, runs terminal commands and drives a browser, asking approval for each step unless you switch on auto-approve. It ships as a VS Code extension, CLI, desktop app and SDK, all Apache 2.0, plus a JetBrains plugin. Bring your own key from Anthropic, OpenAI, Google or OpenRouter, or run a local model through Ollama, and the agent costs nothing.
Install from the VS Code Marketplace or npm i -g cline. Version 4 added a marketplace for skills, MCP servers and plugins, and Cline Cloud runs up to 10 tasks at once in remote sandboxes that push to a branch. Unlike GitHub Copilot or Cursor, it doesn't tie you to one editor or model vendor.
Two ways to pay. ClinePass is $9.99/month for bundled open-weight models (GLM, Kimi, DeepSeek, Qwen and others) with no keys to manage. Enterprise is custom-priced: SSO, role-based access, central billing and VPC or on-prem deployment. Solo and small teams: free plus your own key. Organizations needing SSO: Enterprise.
The catch: tokens are the real bill, and an agent that reads whole codebases burns them fast. The JetBrains plugin is also closed source.
Get the next issue in your inbox
Free. No spam. Unsubscribe anytime.