
Earendil just released Pi 1.0 - a programming language built around concurrent computation from the ground up, not bolted on top of an existing paradigm. Short version: they rethought how processes communicate altogether. It's genuinely interesting news. And here's the thing most people miss: a story like this lives in your LinkedIn feed for exactly 48 hours, then it's gone. But if you're job hunting, you have a short window to use it as a reason to start a real conversation. Not spam. An actual opening.
Why Pi 1.0 is a good hook, not just news
Most networking advice sounds like this: "find common ground", "be genuine", "don't ask for a job right away". All true, but none of it answers the question of what exactly to say today. Pi 1.0 gives you a ready-made context. The language introduces what they call process interaction as its core concurrency model, which is fundamentally different from the actor model or CSP. This isn't "yet another language". It's a provocative claim that the entire existing approach to parallelism is wrong. That's why the topic will resonate with backend engineers, distributed systems people, PL enthusiasts, and even technical managers who follow the space.
- Backend and distributed systems engineers: this is their territory
- Tech leads who pick the stack: they watch exactly this kind of thing
- PL researchers and compiler people: obviously
- DevRel and tech recruiters at companies with their own language or runtime
Step 1: Do your homework in 15 minutes
You don't have to read the entire technical post. You do need to understand one specific idea deeply enough to form an opinion. That's the difference between "I saw an article" and "I think their approach to X is interesting because Y, but I'm not clear on how they handle Z".
- 1Read the Earendil blog post on Pi 1.0 at earendil.com/posts/pi-1-0 - it has concrete code examples and explains the model
- 2Write one sentence: what exactly Pi does differently compared to what you know, such as Go channels, Erlang actors, and so on
- 3Identify one thing you don't understand or find debatable: "not sure how they handle X" or "curious whether this scales at Y"
- 4Write down one company from your target list where this topic could be relevant: their own language, runtime, or distributed infrastructure
Don't try to be a Pi 1.0 expert. Try to be someone who's genuinely curious. That's way more natural and way harder to fake.
Step 2: Actual messages that don't smell like a LinkedIn bot
The biggest mistake is writing "thanks for your content, would love to connect". That's not a message, it's a template. Here are a few formats that actually work, with Pi 1.0 as the hook.
- To an engineer at an interesting company: "Read about Pi 1.0 from Earendil today - their process interaction model reminded me of some problems [your company] described publicly in your engineering blog. Curious how you see this from the inside?"
- To a technical manager: "Pi 1.0 dropped with an interesting angle - the language was designed around concurrency, not adapted to it. Does this kind of thing influence stack choices in your area, or does it not really reach management level?"
- To a recruiter at a company with its own runtime: "Saw Pi 1.0 and thought of [company] - you build [X] yourselves. Do you have people who track projects like this? Curious where the line is between \"new language\" and \"actually changes the approach\""
Notice: none of these messages ask for a job. There's a question, there's specificity, there's respect for the other person's time. It's a conversation, not an application.
Step 3: Where to find people for whom this is relevant
Networking around a specific news story is effective because you're not looking for "anyone from the right company". You're looking for a specific person for whom the topic resonates. That cuts down both the volume of work and the rejection rate.
- Hacker News: search for Pi 1.0 threads or similar PL topics. People commenting there usually have public LinkedIn or GitHub profiles
- LinkedIn search: "programming languages" plus company name, or "distributed systems" plus city. Then filter to 2nd connections
- GitHub: repositories related to concurrency or PL design. Contributors from interesting companies often appear in the contributors list
- UA IT Telegram channels: DOU, Djinni communities, backend and distributed thematic chats. You can ask a public question about Pi 1.0 and get replies from people you can follow up with
Step 4: Connect the conversation to your job search - when and how
This is where most people either jump too early or never jump at all. The logic is simple: if someone replied to your first message and the conversation picked up, you have a reason to ask more about the company. Not "do you have any openings", but "hey, I'm actively looking at companies where [Pi 1.0 topic or adjacent] is part of the actual work. How is that area structured at your place?"
If there are already a few messages back and forth, you can say it directly: "I'm actively looking right now, and [company] is on my radar. If it makes sense to talk to someone on your team, I'd be glad to". Simple. No apologizing for it.
Track who you've already talked to and what exactly you discussed. After a week it's very easy to mix up details and write something off. A job search tracker helps you log not just applications but contacts and where each conversation stands.
What to do if there's no reply
Realistically: most people don't reply. That's normal and not a reason to do nothing. There are a few simple things that improve your chances.
- Write on weekdays between 10 and 13: people check messages more often before lunch
- One follow-up after 5-7 days - no apologies, just a short continuation of the thought
- If someone is active on LinkedIn (commenting, posting) - engage with their content first, then message them directly
- Don't write more than one follow-up. After two ignores - let it go and move on
The main point: Pi 1.0 is not the only news. Something interesting drops in the tech space every week. Once you learn this pattern, you have a repeatable way to start networking without feeling like you're begging for a favor. If you want to see how Trackr's AI Coach helps you prepare for conversations once you've started them, that's also worth a look.
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