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BrowserAct Tops Product Hunt with 629 Upvotes

A cloud architect tested BrowserAct in production for six weeks and reports it reached #1 Product of the Day on Product Hunt with 629 upvotes and strong community interest. The author highlights BrowserAct's deliberate 'gets stuck' design — a three-layer escalation (environment fingerprinting, automated CAPTCHA solving, human fallback via a 'remote-assist' handoff) — plus local-first execution, multi-session isolation, and agent-native indexed output that reduces token costs for LLM-driven agents. The post cites product metrics (GitHub stars growth, marketplace availability, large cumulative usage claims) and notes trade-offs: slower stealth browser startup, terse error messages, and credit-based pricing that can add up at scale. The author endorses BrowserAct for authenticated, anti-detection, multi-step workflows while flagging open questions about large-scale CAPTCHA longevity and certain soft-block scenarios.

Actian Adds Jaspersoft Embedded Analytics

Actian, the data and AI division of HCLSoftware, has integrated Jaspersoft’s embedded analytics and reporting into its data management portfolio following the completion of HCLSoftware’s acquisition of Jaspersoft. Actian said it will continue developing Jaspersoft’s roadmap with planned enhancements including AI-enhanced analytics, agentic BI capabilities, and deeper integration across Actian’s products. Jaspersoft brings roughly 1,000 customers and an established partner ecosystem of about 90 partners across 44 countries into Actian’s network. The move is positioned to combine operational reporting, business intelligence and AI-driven insight for regulated and data-intensive industries.

12-Surface AI Visibility Audit for B2B Brands

This article by Megan Kessler (Founder & CEO, Dark Horse Strategies) presents a practical, step-by-step methodology to audit a B2B brand’s visibility across the specific sources LLMs and AI search draw from. The framework defines 12 distinct “surfaces” (AI interfaces, AI search, reviews, publishers, owned content, developer/technical platforms, social, knowledge graphs, marketplaces, case studies, community/Q&A and enterprise/private AI) and provides a worksheet, scoring rubric and timeboxed steps to run tests across LLMs, search results, review sites, knowledge-graph sources and social/community channels. It lists platforms to test (ChatGPT/GPT-4o, Perplexity, Gemini 1.5 Pro, Claude, Microsoft Copilot), gives logging templates and diagnostic rules, and recommends scoring each surface 1–10 to prioritise remediation. The full audit is estimated to take about three hours and supporting resources are available on GitHub.