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Giuseppe🙏 1 karmaMay 20, 2026@Exmergo VizViz makes the process of turning data into dashboards feel much simpler and more natural. Being able to upload or connect data, ask questions in plain language, and quickly get interactive visualizations is genuinely useful, especially for people who do not want to spend hours building dashboards manually. What I like most is that Viz feels focused: it is not just an AI chat tool, but a product designed to help users move from raw data to clear, shareable insights. Overall, it looks like a practical and intuitive tool for making data analysis faster and more accessible.
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Linkeddit now watches Reddit for you around the clock. Where the lead gen pipeline runs a one-time search, Reddit Monitors run on a schedule and surface new matching posts automatically — so buying-intent threads, brand mentions, and competitor complaints show up without you re-running anything. How it works: - Set up to 10 keywords and, optionally, up to 10 subreddit filters. Leave subreddits empty to scan all of Reddit. - Choose a frequency (daily, weekly, or monthly), a Reddit sort (new, relevance, hot, top, comments), a time window, and a result limit per run. - Give each monitor a knowledge base — your product, pricing, voice, and "do not" rules — so every AI reply is grounded in what you actually offer. - Add optional writing-style instructions to match your voice exactly. AI reply suggestions: click any matched post and Linkeddit drafts a single, ready-to-send Reddit comment grounded in the original poster's exact words and your knowledge base. Replies use a Reddit-native voice — no AI tells, no emojis, proper Reddit markdown — and only mention your product when it is genuinely a useful answer. Run on autopilot or trigger a monitor manually any time. Status tracking shows what is queued, running, or paused. Learn more: linkeddit.com/reddit-monitoring
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OpenMultiple models reviewing content is so helpful because we can better understand when there's a strong case for X, or divergences about Y, and ultimately get a more full understanding because of that. Great work! -
OpenI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it.
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Hi! I'm the founder of watch.ID - feel free to ask any questions or feedbacks ✌️
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