... know what happened, whether the agent actually completed its task, what data was captured and whether something went wrong. We ve worked on this at Vaani and built a post-call processing flow that handles: Call summaries and structured data

... Robin, building EvidenceFlow: a workspace intended to connect systematic-review planning, multi-reviewer screening, dataextraction, PRISMA reporting, and meta-analysis. The problem I am trying to solve is not that researchers lack tools. It is that a typical review often involves several tools and spreadsheets, with manual handoffs between them. I would value direct feedback from anyone who has built or used complex workflow software: Which step should remain specialized rather than being pulled into ... ... product handling a high-stakes workflow? If you were testing an early product, what is the one task you would try first to decide whether it is useful? I am especially interested in examples involving team collaboration, auditability,

... built an autonomous AI RAG Agent with long term memory using n8n, Supabase, and Postgres. This architecture handles complex, long-context dataextraction: Memory: Integrated Postgres Chat Memory to give the LLM ongoing context across sessions. Knowledge Base: Connected a Supabase Vector Store utilizing OpenAI Text Embeddings for accurate, real-time semantic search. Ingestion: Automated a pipeline that dynamically pulls external files from Google Drive and structures them into vector embeddings. I tested it by asking it "who is Destiny ... ... sharing this because I'm looking for an AI Automation Internship, and wanted to lead with proof of what I can actually build rather than just a resume. Founders: if you're spending manual hours on operations,

... quick summary, and it confidently hands you data that is completely made up. If a creative writing bot hallucinates, it s fine. But when it happens during document processing like in your RAG pipelines or data

... systems for clients, I noticed many businesses have no idea how easily their public data can be collected through scraping, APIs, and automation tools. So I recently launched DataCrawlPro. We provide: Website Scraping Risk Audits Custom Web Scraping Solutions Data

... Over the years I've helped businesses collect data from websites, automate workflows, and build custom scraping solutions using Python, Scrapy, Playwright, and Selenium. Recently I launched DataCrawlPro, where I provide: Website Scraping Risk Audits Custom Web Scraping Services Data

... everyone Long-time reader, finally jumping in to say hi. I'm a solo dev who's been building ApiTap for the past year a managed dataextraction engine in Rust + Apache DataFusion. The short story: I got hit with a $1,000 Airbyte bill once and thought "there must be a lighter way to do this." So I started building. Currently obsessing over: Making ETL feel like clicking, not coding Squeezing performance out of small workers ... ... Recs for communities or tools I should know about If anyone's been through a PH launch before, would genuinely love to learn from your experience. ApiTap (pre-launch) apitap.dev feedback always welcome Happy to chat about Rust,

... Product Hunt community! I m Lance Liu, an AI developer from China. I m currently leading a tight-knit team of 5 brilliant minds. With over a decade of experience in web scraping and dataextraction under my belt, my co-founders and I decided to team up and build something that solves a real, frustrating problem. We created Transcript365.com . The idea came from talking to countless content creators, digital marketers, and influencers. We noticed they spend hours digging through ... ... from Faysal Fateh(@faysal_fateh): The interesting part to me isn't the transcript itself, it's what people do with it afterwards. I've seen founders, marketers, and researchers spend hours manually

... starts differently: Open the Scraper UI. Load a website you re allowed to access. Click the data you want. Save the workflow as a recipe. Run it again later and export to CSV/JSON. The goal is to make web data

... instant, frictionless, and smart. Here is what you can do with DocuMonk: Instant OCR: Extract text from images and scanned PDFs with high precision. AI Document Analysis: Instantly generate summaries and pull out key info (names, dates, topics). Structured Data

... alongside this), we ve built a multilingual health data pipeline ready to plug into health tools, GEN AI and EHRs Since January 2026, Health Data

... Solo builder here, won't say much about the product yet but happy to talk shop on the plumbing. Quick version of what I'd tell my past self: Auth - Supabase, Clerk, Auth0, pick one. An afternoon of setup vs. days of building it badly. I tried the days version first, do not recommend. Permissions - this is the sneaky one. Most people check "can this user see this?" in their app code. Way better to push the rule into ... ... tattoos or mockups) Tech-wise I m using: Flutter for the mobile app Firebase (Firestore + functions) OpenAI + Replicate for image generation (testing multiple models right now like DreamShaper, Flux, Ideogram) Biggest challenge so far has been balancing quality vs

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... down: your product does not need to be perfect on launch day. It needs to be real. If it solves a genuine problem for real people, the community will see that. PH users are incredibly sharp at spotting authenticity vs hype. My advice from watching dozens of launches: focus on your story. Why did you build this? What personal pain led to it? People connect with founders who build from frustration, not from market research slides. Rooting for you. Drop ... ... imtiyazmohammed   Hey Imtiyaz! Just checked out Curatora - AI content ideas is a smart angle. I went ahead and upvoted it. The concept of turning trending topics into content plans is solid. I am building LucidExtractor (AI-powered web data

... from Nika(@busmark_w_nika): @indu_thangamuthu  But not such long dashes :D Comment from Nika(@busmark_w_nika): @spunchev  This is an interesting POV  using Hard data usage vs

... There s a big gap in the market: Most email and dataextraction tools are expensive, complex, and inaccessible for new founders and small businesses. So I built an affordable, beginner-friendly scraper that helps users: Paste multiple website URLs

... While You re Still Planning Your Competitors Are Already Launching The Problem Many founders and investors have great ideas and funding but products remain stuck in planning. Meanwhile, competitors

... ProductHunt community! Big news in the tech world! France has officially launched a criminal probe into X (formerly Twitter) for alleged algorithm manipulation and " fraudulent dataextraction ." Prosecutors are investigating whether X has been involved in election interference , even classifying them as an " organized gang " a pretty serious label! X, predictably, is not happy about this, calling it a "politically-motivated" investigation and refusing to cooperate. This is a fascinating and potentially game-changing development for social media platforms ...

... super excited to introduce you to BrowserAI a powerful, serverless platform for AI-driven browser automation, web scraping, and dataextraction at scale. Whether you're a developer,

... time for a change, especially with the rise of natural language interfaces. Chat4Data was born from our belief that web scraping should be as easy as having a conversation . By leveraging AI, we ve made it possible to extract web data

... organize knowledge for doing work more productively, and initial features include: Parsing document files (pdf, docx, md, etc.) using OCR Audio recording and transcription Scrape info from web URL Custom data schemas to represent tasks, events, contacts, etc. Automatic data

... require it. Use the best scraper for each use case and get more accurate structured data with zero code. Why This Matters These updates give you: More control over how URLs are used as API inputs. More reliability in data

... refresh the tool list from the MCP server whenever new tools get added to the server. Interweave MCP Calls in Your Workflows: Prompt rtrvr.ai to leverage these external tools as part of its plan imagine extractingdata with rtrvr.ai and then sending it to an external analysis tool via MCP, all in one flow! User Tools Still Shine: For APIs or services without an exposed MCP server, our robust "User Tools" feature remains, allowing you to generate and execute custom ... ... which specific button to press for your task. Intelligent Planning: Simply describe what you want to achieve in the prompt box. Our new Planning Agent analyzes your request, plans the necessary steps, and orchestrates the underlying actions (Act, Crawl,

... Google Apps Script tools that add functionality to Google Sheets without requiring users to leave the familiar spreadsheet environment. Each tool is a standalone add-on focused on a specific workflow: Content generation (OpenAI/Claude/Gemini integration) WooCommerce/Shopify management Web scraping + dataextraction WordPress site building without code SEO tools (indexing, keyword clustering) The technical approach: We use Google Apps Script as the foundation, with custom JavaScript to handle the various API integrations. For things like AI content generation, we direct ...