just want to add that this line from the article "Before passing data to the assistant, scan them for suspicious patterns like imperative verbs, SQL-like fragments, or common injection triggers. This can be implemented as a lightweight wrapper around MCP that intercepts data and flags or strips risky input." is exactly what we're building at maybedont.ai .... it's free and downloadable today. if you're running in to these things, give it a try and get in touch with us (founder here), we'd lvoe all the input.

tl;dr us someone. No way anyone actually reads that. Especially the people who want it.

It doesn’t take that long to read - probably 15 minutes, and a few minutes to skim.

For tl;dr use ChatGPT. “Summarize this <link>”. You can ask questions about it if you’re interested.

In general it talks about pmf, gives advice on different stages of pmf, and some strategies to be used to help navigate towards pmf at each stage.

As far as people that want this, i sure hope they can spend 15 minutes (or even 30!) on an article if they are spending years trying to achieve pmf.

Location: Denver, CO

Remote: have been for 8 years

Willing to relocate: There's always a conversation

Technologies: Mostly cloud native tech.

Résumé/CV: https://www.linkedin.com/in/kendallamiller/

Email: k at lunt dot co

I'm the business guy who helps tech founders make startups go. Highly technical founders hire me to help with corp dev, bizdev, partnerships, those first few product conversations etc... then I help build sales/marketing teams and advise. Not sure I have much for capacity beyond advising right now, but thought I'd give this a go.

1 tb of searchable data is $25/mo if you do it right.

I am interested in the back of the envelope calculations you did to come to this conclusion. Would you please elaborate if possible?

I know of an early stage YC startup that has a 6TB Postgres DB. Would it be fair to say that the DB hosting (neglecting replica, engineering time) can be done at $150/month?

Lack of vc investment at the bottom means lack of seed through series c companies suddenly flush with money willing to buy B2b software so they can grow and sell their software to B2b businesses who sell software to B2b businesses who sell their software to end users.

Cut the bottom out, it trickles.

I’m currently working with a company in this space (axiom.co) and this shit scares me because it’s splunk scared. Maybe cribl did this? But the press release reads like a self-Pat on the back.

Helios (https://www.gethelios.dev) | United States | Full-time | Remote | Sales and Marketing Leadership

hey folks we're looking for sales and marketing leadership at Helios. We're a fast growing startup in the world of Distributed Tracing successfully selling in Israel but looking to expand to the US.

Remote (so anywhere in the US), not interested in agencies, but good people. If you or someone you love might be a fit hit me up: Kendall at gethelios.dev

https://gethelios.dev/position/head-of-sales/ https://gethelios.dev/position/head-of-marketing/

A startup like this offers unique experience for fast-growth, learn a lot. see a lot etc...

there are good free/oss container scanners. check out Trivy.—no reason not to use one.

what about tooling that hardens it across clusters?

so... a lot of this can be done with Fairwind's OSS tool Polaris... https://github.com/FairwindsOps/polaris

feels good that we've been addressing this for a bit already tbh. (disclaimer, I work for fairwinds)

How did you (/they) come up with the name Polaris?

If I had to guess it's a nautical theme, following Kubes. Fair Winds (sailing), Polaris (North Star, used for navigation.)

basically this. yes.