Agently

Your whole stack, running itself!

SaaSArtificial IntelligenceProductivity

▲ 0 votes16 commentsLaunched Jul 15, 2026

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Daily #10Weekly #38

Every other tool answers, retrieves, or runs brittle rules. Agently holds your whole company in context and does the work. 100+ connectors flow into one brain that never forgets. It links a Stripe event to a Slack thread to a Linear ticket on its own. When something needs doing, Jarvis routes it to an agent that runs it end to end: triggered, running, shipped. The work lands without you, nothing falls through the cracks. Connecting takes minutes. The layer between today's AI and tomorrow's AGI.

AI Analysis

📝 Summary

Agently is an AI platform that maintains persistent context of an entire company's operations via 100+ connectors (e.g. Stripe, Slack, Linear). It autonomously detects events, links them across tools, routes tasks to specialized agents like Jarvis, and executes workflows end-to-end without manual input. It solves fragmentation, manual handoffs, and tasks falling through cracks in fast-paced teams. USP is its 'whole stack running itself' with a never-forgetting brain, bridging today's AI to AGI. Value: boosts productivity, ensures nothing is missed, with quick setup.

📈 Market Timing

2025-2026 is an excellent period as AI agentic workflows mature post-LLM advancements. Trends favor autonomous systems over rule-based automation; businesses demand deeper integration and reduced manual ops amid economic pressures for efficiency. Technology is ready for contextual AI, user adoption is accelerating, making it ideal for market entry. Excellent Timing.

✅ Feasibility

Medium. Integrations are feasible but maintaining accurate long-term company-wide context, reliable autonomous agents, and error-free executions is technically complex with current AI limitations (hallucinations, cost of inference). Operational costs for AI runs could be high; scalability is strong but compliance risks with data across tools exist. High feasibility with right engineering focus. Rating: Medium.

🎯 Target Market

Primary segments: Tech startups, SaaS companies, ops/product teams in mid-sized firms (50-500 employees), especially in US/Europe. Industries: software, e-commerce, digital agencies. TAM for AI automation ~$100B+ by 2026; SAM for agent platforms ~$10B; SOM for early adopters ~$500M. Pain points: siloed tools causing inefficiency and dropped tasks. High willingness to pay ($100-1000+/mo) for time-saving autonomous systems.

⚔️ Competition

Medium. Direct competitors: 1. Zapier (zapier.com), 2. Bardeen.ai (bardeen.ai), 3. Lindy (lindy.ai), 4. Make (make.com), 5. CrewAI (crewai.com). Advantages vs them: persistent whole-company memory, autonomous end-to-end agent routing ('Jarvis'), true hands-off execution beyond simple triggers. Disadvantages: less mature than Zapier, potentially higher pricing/complexity, unproven at scale compared to established automation leaders.

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