... Product Hunt! I'm new here so thought I'd introduce myself. I'm a Business Analyst in Domain Operations at Super Sense AI.... An enterprise AI platform that connects directly to live business systems like databases, CRMs, and APIs to deliver real-time answers and automate workflows. My day-to-day involves working with business data across multiple systems, building reports, and finding ways to make operations more efficient. Before Super Sense AI, that meant a lot of spreadsheets ... ... part I love. Outside of work, I'm really interested in how AI is changing the way businesses operate, Especially for non-technical teams who need data-driven answers without writing code. Excited to connect with other builders, analysts

... Ever wanted to ask "what did Cowen say about BTC dominance in 2023?" and get an instant, cited answer without scrubbing through hours of videos? That's CryptoLens. It ingests a crypto analyst's entire YouTube library into a vector database and lets you chat with years of historical analysis with source links and timestamps for every answer. Key features: Hybrid semantic + metadata search Recency-weighted retrieval Contradiction detection across time Auto-ingests new uploads and alerts you when stances ...

... uploading your own custom GeoJSON/TopoJSON boundary maps along with a custom CSV dataset. The engine dynamically calculates centroids and properly scales projections on the fly. You can even map data onto completely custom fantasy planets! Built-in AI Analyst: Connect your OpenAI or Anthropic (Claude) API key to get instant AI-driven insights, summaries, and anomaly detection based on the dataset you are currently viewing. Real-time Data Streaming: Hook up live WebSockets to visualize dynamic, constantly updating global metrics ...

... make a chart in Excel" in the last 30 days? I did. And I'm literally building a data tool. The truth is, most of us have data, but getting answers from it requires either a data analyst, a crash course in SQL, or 2 hours of frustration. We surveyed 100+ founders and analysts

... Everyone argues about the future. Almost no one prices it. Media says: Escalation is inevitable. Analysts say: High probability. Politicians say: Unacceptable risk. But ask them one question: At what probability would you put your own money? Silence. Prediction markets force clarity. You can t say likely. You must say 42%. You can t say almost certain. You must back it. When headlines screamed war, our market priced it at 38%. When Twitter said Bitcoin to 100k, markets assigned ... ... willing to price it? We re building a platform where anyone can create a market on any event from geopolitics to live moments with friends. Not hot takes. Not noise. Just pricing the future. Would you trust analysts

... feel proud of it, you run the new model, and it aces it. Great, right? Except now the eval isn t measuring anything. It s a speed bump the model already learned to drive over. Take our AI data analyst at @Basedash . There was a time when the main failure mode was technical. Bad joins, wrong filters, hallucinated columns, slightly-off date logic that nobody notices. If you re building anything that touches business data, those mistakes are brutal because ... ... they destroy trust fast. So we treated technical correctness like the whole game. If we could get text-to-SQL right, everything else would follow. Now, barely a year later, text-to-SQL is a solved problem. Our AI analyst

... curious how they compare. What I really liked about TrufflePig is the active founders, they post a lot on LinkedIn and seem to be very involved in the startup, which makes me trust this tool more. https://querio.ai/ - AI analyst with a focus on more mature companies, providing AI-assisted Notebooks and AI-assisted Semantic modeling. Another focus is Embedded analytics, which makes them kinda unique - there are not so many non-incumbent solutions with AI Notebooks + Embedded analytics ... ... livedocs.com/ - the only AI Analyst

... really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates. For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take ... ... autonomously and proactively finding novel data insights and telling us how to improve our product. Most of the insights we get are things we wouldn t have even thought to look up, even if we had a dedicated data analyst

... producthunt, I am a business analyst in the United States and I work remotely on FedCivHealth Software Development, Implementation and Ops & Maintenance projects. I am open and excited to lend my strengths, knowledge and expertise to #startups needing process maps, requirements analysis & elicitation, functional and technical user stories, use cases, SOPs and User Guides ...

... need bigger coverage. You still see a simple web UI 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 and AI models without waiting for dev resources. Agencies & freelancers recurring client reports from Avito, Wildberries, Ozon, Yandex Maps and more. Founders & growth teams lead lists from maps/directories and content ideas ... ... 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 web scraping shouldn t be a niche developer superpower . If you re a marketer, analyst

... guidance. End-to-End Analysis: Query visualize export reports. Export Options: Export results in HTML, CSV, or XLSX formats. Privacy-Focused: Option for local execution ensures your sensitive data stays secure. Designed for Non-Technical Users: Perfect for business analysts, researchers, product managers, and small teams. How it Works: Connect your database (SQL Server, MySQL, or PostgreSQL) Ask questions in your preferred language (English, Vietnamese, German, French, Italian, Portuguese, Hindi, Spanish, or Thai) Select relevant schemas for large databases (small ... ... databases skip this step) View results with paging and visualizations Export full reports in HTML, CSV, or XLSX Who Should Try It: Analysts

... built Webbee-AI If you ve ever tried to scrape data at scale, you know the pain: anti-bot protection, changing HTML, IP bans, infrastructure, and a lot of 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 web UI: choose a robot, paste URLs, run. - You get ready ... ... tables with products, prices, ratings, reviews, contacts and more. The result: anyone on the team marketer, analyst

... would like to hear from data analysts or those whose primary job involves working with data irrespective of their role - How has AI changed your role? The Good : What's one thing you like that AI has done to make your professional life easier The Bad : What's one thing you wish you didn't have to do and had it better before ChatGPT came into your life The Ugly : You want to move to the mountains and become ...

... When @daveaingram came up with the idea for Querri in the spring of 2023, the term "AI Data Analyst" wasn t even a thing. AI itself was far from mainstream. Even when we launched our first MVP in the spring of 2024, many larger companies still saw AI as "fringe." Fast forward to the fall of 2025, and not only is every tech business racing to incorporate AI, but entirely new product categories like "AI Data Analytics Tools" have emerged ...

... guessing, you can instantly analyze any company in 10 seconds, understand its strengths and weaknesses, and see whether it s truly worth owning. Powered by FWP API + AI-based insights, JumpRiq delivers accurate, principle-driven company analysis no analyst required. It s built to save you hours of research, giving you confidence to focus on what matters: owning great businesses. Coming soon: News Page: Curated company updates Call & Voice Q&A: Talk directly with our AI analyst

... Ever wanted to peek behind your competitors ad strategies? Now you can with full transparency. I just launched a free n8n workflow that pulls ad creatives straight from Google s Ads Transparency Center, powered by SerpApi. n8n Template link This workflow does the boring stuff for you: Fetches ads by domain (like nike.com or apple.com ) Filters by region Categorizes creatives into text, image, and video Exports clean CSVs for instant analysis All you need to do is hit Test workflow ... ... Marketing analysts

... Being an engineer myself, I see that many people are outputting more code than ever. Some of it being generated vs. written, the volume of code being outputted has definitely risen.  There seems to be a shift from "is this something we can build?" to "should we build this and ship it?" For people who have been recruiting or looking to recruit recently, what roles are you hiring for?  Role title (I've seen a rise ... ... shaping the architecture so an LLM can step in and help. They share mental models with the machine: name things clearly, structure code predictably, and design so future agents (or teammates) can move fast without friction. A data analyst

... seems much more accessible, efficient, and beginner-friendly. So what about data analysis? It still seems highly professional now, and the majority of people naturally think that they cannot do the data work but have to resort to analysts for help. But maybe with the advance of AI data analysts

... patent agents, patent attorneys and boutique IP firms to create beautiful charts from patent search results. Import search results from free patent databases like UPSTO and Espacent. Transform patent search results into interactive charts and visualizations. Analyze trends, competitors, and opportunities with ease. Who is the target audience: Patent agents - get a birds-eye view of the patent landscape Patent analysts

... With AI getting better at parsing spreadsheets, generating dashboards, and even spotting trends automatically, I keep wondering: Will AI replace data analysts or just transform their role into something new? What tasks are you already automating? Are there risks in removing too much human context from data work? Curious to hear how others are navigating this shift especially those building or using data-heavy tools. Comment from Toni Ruokolainen(@arvoantoni): Great question, Supa! It's something I think about ... ... someone building a product in this space. I definitely lean towards AI making data analysts

... Product Hunt! I m Pankaj, a technologist with a background in finance, AI, and data systems currently solo-building VantageSentiment. It s an AI-powered investment assistant that acts like a team of analysts. It breaks down commodities (like Gold or Oil) from multiple perspectives: Sentiment Fundamentals Technicals Risk Portfolio decision Every agent is powered by LLMs, works semi-independently, and contributes structured, explainable insights. I ve just launched it here https://www.producthunt.com/post... I m here to connect, learn ...

... data on their own.  We ve been used by over 70,000 companies and organizations of all sizes and shapes - from fortune 100 companies to local volleyball club.  Analytics is a multi-player game, and while analysts, data scientists, and other practitioners of the dark arts are important players, we ve always emphasized the need for a normal person with a day job to be able to get what they need on their own time. Increasingly ... ... what you should be chasing instead), embedding reporting in your application, or data in general. -Sameer Comment from Max Zheng(@maxzhengx): What are the key differentiators of your embedding product and why should I pick it over other competitors

... fully automated data platform designed to give e-commerce businesses a 360 view of their data starting with Shopify. Over the years, I ve seen countless businesses struggle to centralize and analyze their data. Most either: Have data analysts but no dedicated data engineering resources Or are just starting to consolidate data from Shopify, Google Ads, Meta Ads, and other sources The process is usually expensive, time-consuming, and requires technical expertise. That s why we built Baitsu to eliminate ... ... just get raw data in a database; you get it ready for analysis from day one. We re in Beta and looking for testers! What we re looking for: Testers to help validate our data accuracy Business owners and analysts

... powered chatbots and virtual assistants can handle many routine customer inquiries, reducing the need for human customer service representatives. 2. Manufacturing workers: AI-powered robots can perform many routine manufacturing tasks, reducing the need for human workers. 3. Financial analysts: AI can analyze vast amounts of financial data and provide insights, reducing the need for human analysts