914 summarised stories about AI Assistants, each linking back to the original source. Browse all topics →
Product Hunt 3 months ago 34
TwinMind launched TwinMind for Desktop, capturing what you say and hear in meetings, lectures, and in-person conversations with auto transcription and summaries. It supports live transcripts and summaries in 140+ languages starting today. The app adds native desktop auto-detection for Zoom/Meet/Teams, a floating mic for dictation across apps, and reminders to join calls.
Toyo 3 months ago 49
Toyo launched an AI assistant that handles email triage, meeting scheduling, and follow-up management across Gmail, Calendar, and Slack using GPT-5.6. The service integrates with 18+ tools including Google Workspace, Notion, and HubSpot, operating through text, voice notes, or phone calls without requiring app installation. Users can now delegate inbox management and administrative tasks while the assistant learns their communication style and business priorities.
tryscarlett.ai 3 months ago 57
Scarlett is an AI assistant that integrates with Slack and over 3,000 external tools to automate recurring reports, data analysis, and multi-step workflows across business functions. The product can be set up in under 3 minutes, connects to tools like Stripe, Notion, and GitHub, and executes tasks end-to-end rather than just generating text. Users can automate daily briefs, weekly reports, customer feedback analysis, and other recurring work that previously required manual effort.
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TLDRocket
29 October 2026
AI’s central storyline today is the same one investors keep testing in the numbers: hyperscalers are spending to expand capacity faster than demand for AI services can fill it, and the bills are showing up before the margins do. Microsoft delivered strong Azure growth while pushing capex expectations to about $170 billion for calendar-year 2026, including more than $50 billion in the current quarter. The company also posted quarterly profit of over $36.6 billion and sweetened the deal for cost discipline, offering voluntary buyouts to around 60,000 workers after earlier layoffs of more than a quarter of its workforce. The message is clear: scale the AI backend now, worry about profitability later.
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