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Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
1•facundo_olano•1m ago•0 comments

Full-Circle Test-Driven Firmware Development with OpenClaw

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Automating Myself Out of My Job – Part 2

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Google staff call for firm to cut ties with ICE

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Crypto firm apologises for sending Bitcoin users $40B by mistake

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Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
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Software Factories and the Agentic Moment

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The Neuroscience Behind Nutrition for Developers and Founders

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Bang bang he murdered math {the musical } (2024)

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Seas to Rise Around the World – But Not in Greenland

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2•Brajeshwar•31m ago•0 comments
Open in hackernews

The potential of AI/agents to automate SaaS growth

1•korky•9mo ago
Hey everyone,

Been reflecting on the state of SaaS analytics lately, and I'm curious if others feel the same pain points.

We have access to so much data today – Stripe, GA, CRM, ad platforms, etc. We pull it into dashboards, slice and dice it, and spend hours trying to connect the dots between what happened (the data) and what we should do about it (the action).

It feels like we're mostly in a reactive mode, looking at historical performance and then trying to figure out where the opportunities are or what went wrong. It's manual, time-consuming, and often feels like we're swimming in numbers without a clear path forward.

I've been thinking about what the next evolution of SaaS analytics could look like. What if, instead of just showing you the data, your analytics platform could actually act more like an intelligent assistant?

I'm talking about a tool that could ideally: - Keep an eye on everything across your integrated sources, all the time.

- Automatically identify trends, anomalies, and potential growth opportunities for you, without you having to dig for hours.

- Go beyond just flagging things and actually suggest specific, data-backed actions you could take next.

- Simplify complex performance into easier-to-understand signals (like health scores for different areas of the business), so you're not overwhelmed.

And even help you track the real-world impact of the actions you take, creating a feedback loop.

How do you currently bridge that gap between data insight and actionable strategy effectively? Do you think this idea of proactive, assistant-like analysis and recommendations is where SaaS growth tooling needs to go?

P.S. I am working on such an agent and necessary tools

Comments

tnblair•9mo ago
iClerk AI provides an agent environment that operates like this today. iClerk AI Agents connect to the SaaS systems you already run, through secure, documented APIs. Agents automate the mundane, repetitive, but critical workflows and processes that define a business, at a fraction of what it currently costs to perform the work. Agent deployments are completed in weeks, not quarters, and the system can run entirely within a private cloud, or to keep sensitive data in place, in an on-premise environment. There are no programmed macros or professionally managed spreadsheets, just dynamic data access, reduced maintenance budgets, and single-click audit trails that satisfy external reviewers and auditors. iClerk Agents let enterprises leverage AI without the hassle, the expense, or the risk. Learn more at www.iclerk.ai or contact info@iclerk.ai