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You subscribe to more newsletters than you can actually read. Readless fixes that. Point your email newsletters, Substack publications, and RSS feeds at one place, and get back a single AI digest on the schedule you set.
Instead of ten separate emails, you get one briefing. Readless reads across everything you follow, merges stories that several sources cover, strips out ads and tracking pixels, and groups what's left by topic. Every item links back to the original when you want to go deeper.
You control the depth. Concise gives you quick bullets; Detailed keeps more context. Follow a German newsletter or a Chinese Substack and still read it in English, or pick any of nine languages for your digest.
Run separate digests for the parts of your life that don't overlap: one for work, one for investing, one for the tech you follow. Each has its own sources, delivery time, and settings.
Pro is $4.90/month and covers newsletters, Substack, RSS, custom depth, and up to 3 digest schedules. Max is $9/month and adds two things: the Synthesis briefing, which reads every source and writes one connected editorial story instead of separate summaries, and custom instructions that steer the tone and focus of each digest. Max also raises the schedule limit to 8.
Every account starts with a 7-day Pro trial. A card is required to start, and you're only charged when the trial ends. We never sell your data, and no human reads your newsletters.
Kubernetes ReadlessReadless's answer:
RSS readers like Feedly collect your sources but still make you read everything. Inbox filters move newsletters into folders without shortening them. Readless does the reading for you: it summarizes, removes duplicate coverage, and delivers one digest on your schedule. It handles email newsletters, native Substack, and RSS in the same place, writes in nine languages, and lets you run separate digests for separate parts of your life. Pro is $4.90/month; Max adds the Synthesis briefing and custom instructions for $9.
Readless's answer:
People who follow more than they can keep up with. That includes investors tracking market newsletters, engineers and founders following tech Substacks, operators watching several industry briefings, and anyone whose inbox has quietly turned into a backlog. If you subscribe to 10, 30, or more newsletters and open only a fraction of them, Readless is built for you.
Readless's answer:
It started with a full inbox and a simple problem: subscribing to good newsletters is easy, but keeping up with them is not. The writing you actually wanted gets buried under senders you meant to read and stories you already saw somewhere else. Readless was built to turn that pile into one short, organized read you finish, so following a source doesn't cost you an hour a day.
Readless's answer:
Most tools stop at collecting your feeds or summarizing one email at a time. Readless reads across everything you follow at once. It merges stories that several newsletters cover, strips the ads, and organizes what's left by topic, so you read one briefing instead of twenty emails. On Max, the Synthesis option goes a step further and writes a single connected story across all your sources, with citations back to each one. You can also read any source in your own language, out of nine options.
Was subscribed to like 12 newsletters and never actually read any of them. Felt bad about it every morning. Forwarded everything to Readless about two months ago and now I just get one email at 7am with the stuff that actually matters.
Setup was painless. The summaries are better than I expected, it skips the sponsor blocks and the long personal intros and just gets to the point. I still click through when something looks interesting but most days I am done in 5 minutes.
Only thing is the design heavy ones lose a bit in summary form, but not a dealbreaker for me.
Pros: one email instead of a pile, summaries don't feel lazy Cons: visual newsletters don't translate as well
Based on our record, Kubernetes seems to be more popular. It has been mentiond 392 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / about 2 months ago
I run the Jenkins controller in Kubernetes. Helm chart for the deploy, persistent volume for the home dir, a sidecar that injects JCasC config from a ConfigMap. Upgrading Jenkins is just bumping a chart version. Rolling back is rolling back a chart version. Plugin lists are values in a Helm values.yaml file, version-pinned, and reviewed in a pull request like any other change. - Source: dev.to / 4 months ago
Does this scenario sound familiar? It's what happened with containerization before Kubernetes. Kubernetes came along and said: Here's the standard. MCP is doing the same thing for AI tooling. - Source: dev.to / 3 months ago
Building your own runtime layer is the right call in a narrow set of scenarios. The open-source ecosystem has matured enough that deep platform engineering teams can stand up their own orchestration layer on top of the official Model Context Protocol Python or TypeScript SDKs. The SDKs implement the MCP specification over JSON-RPC 2.0 and support both stdio for local process communication and Streamable HTTP for... - Source: dev.to / 4 months ago
Amazon Elastic Kubernetes Service (EKS) is a fully managed service from Amazon Web Services (AWS) that makes it easy to run Kubernetes on AWS without needing to install, operate, or maintain your own Kubernetes control plane. It automates cluster management, security, and scaling, supporting applications on both Amazon EC2 and AWS Fargate. - Source: dev.to / 4 months ago
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