... front of more people. DocDot is a local PDF parsing workflow for macOS. You can install multiple parsers with one simple command: curl -fsSL https://docdot.ai/install.sh | bash, compare outputs side-by-side with our webUI, switch parsers them depending on the file, and plug directly into agents. Right now we support NanoDoc (our in-house parser), PaddleOCR, GLM-OCR, LiteParse, and MinerU. What I m still trying to get right is the product feel on first use. When ...

... example that isn't like the others, because it generates work for a second person who wasn't in the conversation and has no idea an AI produced it. Worth marking agent-created items as agent-created in the UI. Cheap to build, and it lets Sara weigh that Friday properly rather than assuming a colleague chose it. One practical thing that will otherwise cost you support tickets: in Claude, a newly connected MCP server's tools only load ... ... where people actually read the task. Most people don't meet a new item in the app first, they meet it in the notification, the email, or the daily digest. If the agent-created marker only lives in the web

... which of the 14 built-in tools to run, chains them based on findings, and writes a structured report. No prompting required. Three ways to use it: Interactive AI REPL in your terminal (`openosint`) Browser-based chat UI with streaming output (`openosint web

... card, no trial expiry. Run the agents, see the moves on the board. Genuinely curious to hear from this crowd on mazori ai: How are you handling human-in-the-loop for autonomous agents in production? Slack approvals, webUIs, something else? Anyone else putting agent activity into the existing work management surface (Jira/Linear/Asana)

... been using Claude Code as my primary coding tool for months, but I kept hitting the same wall: the moment I needed a second agent -- Gemini for research, Cursor for UI work, or another Claude Code instance for a parallel task -- they couldn't coordinate. I was the one copying context between terminals. So I built Neohive. It's an MCP collaboration layer that lets multiple AI CLI agents communicate through a shared directory on your machine. How it works ... ... agent's output triggers the next agent's work - Lock files before editing to prevent concurrent write conflicts - Review each other's code and vote on decisions - Share knowledge through a persistent team memory There's a live web

... instead of paying for cloud cron jobs every time, u can run your own for free to test your product. Cronye runs cron jobs locally on your Mac. No cloud. No subscriptions. Just a lightweight daemon + clean webUI at localhost. Fully open source (MIT) GitHub: https://github.com/deep1283/cronye Website : https://cronye.vercel.app If it helps you, a means a lot and if you want to sponsor a lavender cream matcha at Starbucks ...

... everyone we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the webUI, this might help: Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode Captures front-end (

... with the number of tasks. Built-in anti-block mechanisms and captcha handling. Robots that automatically adapt when websites update their layout. Mass launch of multiple robots in parallel when you need bigger coverage. You still see a simple webUI with tasks and results; the complexity stays on our side. Who is using it and why Marketers & marketplace sellers competitive price tracking, promo and discount monitoring, review analysis. Analysts & product teams datasets for dashboards, experiments ... ... before paying. Usage-based pay as your scraping volumes grow, without managing servers or proxies. Enterprise custom robots for specific sites, high volumes and complex recurring workflows. Why we re on Product Hunt We re here because we think

... glue code to turn raw HTML into something analysts and marketers can actually use. Webbee-AI takes care of all of that for you: - Cloud robots handle the scraping and blocking issues for you. - You work with a simple webUI: choose a robot, paste URLs, run. - You get ready-to-use tables with products, prices, ratings, reviews, contacts and more. The result: anyone on the team marketer, analyst, founder or freelancer can launch a scrape in minutes ... ... results as Excel, CSV, JSON , send them to Google Sheets , or pull them via REST API into your own tools and pipelines. - Scheduled runs (paid plans) On paid tiers you can schedule recurring runs to monitor prices, inventory or

... fully self-hosted, adds only ~11 s mean overhead at 5K RPS , and supports providers like OpenAI, Anthropic, Mistral, Groq, Bedrock, and more. It also comes with built-in monitoring, real-time configuration, governance, MCP support, and a clean webUI to manage it all. We designed it to act like true infrastructure, minimal overhead, built for production, and easy to integrate. If you're into infra performance or just enjoy digging into fast Go code, feel free to check ...

... Sumit Datta(@brainless): @busmark_w_nika  LOL this is a painful one. What editor and AI agent combination are you using? Comment from Sumit Datta(@brainless): @busmark_w_nika  v0 is good for building the UI, particularly web

... longer need to set or remember passwords when spinning up a new instance. Instead, simply generate a secure access token during setup. Users can generate secure access tokens directly from the console. These tokens grant immediate access to the WebUI no login prompt required. Tokens are also used to authenticate via the Python SDK and other client tools. Benefits Improved developer workflow API keys can be auto-generated for use in scripts, automation, or third-party services. Eliminates password ... ... access Learn more: https://docs.aperturedata.io/Set... Start your free 30-day trial of ApertureDB today! Comment from Vishakha Gupta(@vishakha_gupta4): This makes it so straightforward. Once you create an instance on cloud, just click on the