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Comment by mcintyem

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Comment by mcintyem

Sidekick Labs | Senior SWE, R&D Engineer, Intelligence Engineer | REMOTE (US Timezones) | Full-time | $170k to $230k Base + Equity + Health

Sidekick builds AI security software for enterprises. Our sensors observe AI behavior and use in situ. From those observations, our reasoning pipeline produces an application inventory and a risk picture, allowing us to provide real-time intervention and coaching right when it matters.

Compensation: base salary scaled to experience, meaningful early-stage equity, and 100% covered health insurance for you and your immediate family

We are a highly senior team. Most of us have been founders or on early founding teams, so we operate with high ownership. We expect you to have a real, current AI-assisted development practice. Our system spans several languages, and we expect you to use AI tools to quickly navigate unfamiliar parts of the codebase so you can comfortably own problems end-to-end across a broad stack.

We are hiring for three roles:

- Senior Software Engineer: You will work across our event-driven architecture. You'll write Go and Python backend services and touch endpoint-deployed browser and desktop components. You need to be comfortable developing in a multi-tenant, microservice-driven SaaS architecture and understand typical scale and security implications for such products.

- R&D Engineer: This is not an open-ended research function. You will take ambiguous feasibility questions tied to our roadmap and return defensible answers inside a week. You'll build handoff-ready prototypes, then shift into engineering mode to personally drive them through to production. You will also define operational envelopes and degradation boundaries, and rigorously deprecate infeasible ideas with documented rationale to avoid future re-litigation.

- Intelligence and Data Processing Engineer: This role is for someone who loves real browser and desktop forensics. You'll use dev tools and debuggers as your primary instruments. Expect to be reading minified code to find where state lives and analyzing network logs to understand undocumented APIs. You will figure out how AI products work and build the prototyping and automation to maintain our software inventory.

To apply: Send an email to [email protected] with the role in the subject. Include a PDF of your resume, a quick sentence or two about a tough technical problem you've solved recently, and links to your GitHub, personal site, and/or LinkedIn.

I'm Eric, VP of Technology, and I will personally read every email sent to the HN subaddress. You can view my background here: https://www.linkedin.com/in/three-two-one

https://sidekicklabs.com

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    About YAVCHN

    YAVCHN is a reader for Hacker News and Lobsters, with articles and discussions in separate windows or Classic pages.

    Created by Paul Parks and built with PUDL.

    YAVCHN source code on GitHub

    Help

    Keyboard

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    Pin or unpin the marked story, which keeps it in Pinned.
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    Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Use Window > New reader window to open an empty reader, or Story > Open in new reader window to open another reader for the current article. Docked readers keep their articles when you select another story from the sidebar. Minimized readers can be restored and reused for their site. A window's Next story link reads on down the list in the same window.

    A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

    While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

    The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

    The list

    The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

    Browsing view

    View > Windowed and View > Classic select the browsing view and save your default in this browser. Window view reuses a reader for each feed. Classic view opens stories and applets as pages. Open as a page is a one-off action that does not change your saved default. Use the Windowed selector to return an article to a window. Direct page links always open as pages.

    Applets

    The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

    They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser.

    Find

    Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

    About

    YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Pins, hidden stories, filters and layout are kept in this browser only.

    Open source: github.com/paulmooreparks/yavchn. Built with PUDL.