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The Other Leverage in Software and AI

https://tomtunguz.com/the-other-leverage-in-software-and-ai/
1•gmays•1m ago•0 comments

AUR malware scanner written in Rust

https://github.com/Sohimaster/traur
2•sohimaster•3m ago•0 comments

Free FFmpeg API [video]

https://www.youtube.com/watch?v=6RAuSVa4MLI
2•harshalone•3m ago•1 comments

Are AI agents ready for the workplace? A new benchmark raises doubts

https://techcrunch.com/2026/01/22/are-ai-agents-ready-for-the-workplace-a-new-benchmark-raises-do...
2•PaulHoule•8m ago•0 comments

Show HN: AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•8m ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•9m ago•0 comments

Solid-State Freezer Needs No Refrigerants

https://spectrum.ieee.org/subzero-elastocaloric-cooling
1•Brajeshwar•10m ago•0 comments

Ask HN: Will LLMs/AI Decrease Human Intelligence and Make Expertise a Commodity?

1•mc-0•11m ago•1 comments

From Zero to Hero: A Brief Introduction to Spring Boot

https://jcob-sikorski.github.io/me/writing/from-zero-to-hello-world-spring-boot
1•jcob_sikorski•11m ago•0 comments

NSA detected phone call between foreign intelligence and person close to Trump

https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower
6•c420•12m ago•0 comments

How to Fake a Robotics Result

https://itcanthink.substack.com/p/how-to-fake-a-robotics-result
1•ai_critic•12m ago•0 comments

It's time for the world to boycott the US

https://www.aljazeera.com/opinions/2026/2/5/its-time-for-the-world-to-boycott-the-us
2•HotGarbage•13m ago•0 comments

Show HN: Semantic Search for terminal commands in the Browser (No Back end)

https://jslambda.github.io/tldr-vsearch/
1•jslambda•13m ago•1 comments

The AI CEO Experiment

https://yukicapital.com/blog/the-ai-ceo-experiment/
2•romainsimon•14m ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
3•surprisetalk•18m ago•0 comments

MS-DOS game copy protection and cracks

https://www.dosdays.co.uk/topics/game_cracks.php
3•TheCraiggers•19m ago•0 comments

Updates on GNU/Hurd progress [video]

https://fosdem.org/2026/schedule/event/7FZXHF-updates_on_gnuhurd_progress_rump_drivers_64bit_smp_...
2•birdculture•20m ago•0 comments

Epstein took a photo of his 2015 dinner with Zuckerberg and Musk

https://xcancel.com/search?f=tweets&q=davenewworld_2%2Fstatus%2F2020128223850316274
8•doener•20m ago•2 comments

MyFlames: View MySQL execution plans as interactive FlameGraphs and BarCharts

https://github.com/vgrippa/myflames
1•tanelpoder•21m ago•0 comments

Show HN: LLM of Babel

https://clairefro.github.io/llm-of-babel/
1•marjipan200•21m ago•0 comments

A modern iperf3 alternative with a live TUI, multi-client server, QUIC support

https://github.com/lance0/xfr
3•tanelpoder•23m ago•0 comments

Famfamfam Silk icons – also with CSS spritesheet

https://github.com/legacy-icons/famfamfam-silk
1•thunderbong•23m ago•0 comments

Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
2•elsewhen•26m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•28m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•31m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
2•mooreds•32m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•32m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•32m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•33m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•33m ago•0 comments
Open in hackernews

Show HN: Former Cloudflare SRE building OpsCompanion a live map of whats running

4•kennethops•2w ago
Hey HN, I’m Kenneth. I spent several years as a Senior SRE at Cloudflare.

One thing that became painfully clear over time is that most outages, security issues, and compliance fire drills don’t come from a lack of tools. They come from missing context. People don’t know what’s running, how things connect, or what changed recently, especially once systems sprawl across clouds, repos, and teams.

That’s why I’m building OpsCompanion.

The goal is simple: keep a live, shared picture of what’s actually running and how it fits together.

OpsCompanion helps engineers:

See a live, visual map of services, infrastructure, and dependencies

Answer “what changed?” without digging through five tools, Slack threads, or outdated docs

Preserve operational context so the next person on call isn’t starting from zero

This isn’t about adding more logs or alerts, or slapping AI on top of existing dashboards. It’s about capturing the mental model experienced operators carry in their heads and keeping it shared and up to date.

It’s still early, and there are rough edges. I’ve opened it up to a small group of engineers who work close to production so I can get honest feedback. If it’s useful, great. If not, I genuinely want to understand why and what would make it better.

You can try it here: https://opscompanion.ai/?utm_source=hn&utm_medium=show_hn&ut...

I’ll be around in the comments. Happy to answer technical questions, hear skepticism, get a bit roasted, or talk about what actually breaks in real systems.

Comments

shukantpal•2w ago
In your pilots so far, what's the feedback you've gotten?
kennethops•2w ago
So far the feedback has clustered around a few themes:

People want it to be significantly more proactive over time, things like root cause analysis, security-style probing, or guided investigations rather than just visibility.

There’s interest in going deeper on telemetry and using it to surface higher-level insights, not just raw data or links out to other tools.

A lot of people ask whether it can eventually write to environments. The direction that’s resonated most is doing this first for new or greenfield environments. For example, going from a prototype to a production-ready AWS setup in a more agentic way. For existing environments, trust and safety are still the gating factors.

My takeaway is that read-only context earns trust first, and write access has to be very deliberate and staged.

incidentiq•2w ago
The "mental model that experienced operators carry in their heads" framing resonates. The real problem isn't lack of tools - it's that the knowledge is ephemeral. Senior SRE leaves, their context leaves with them. Incident happens at 3am, and the on-call person is essentially doing archaeology.

Two observations from similar tooling attempts I've seen:

1. The hardest part isn't generating the map - it's keeping it accurate. Every tool that promises "live view of what's running" eventually drifts from reality because infrastructure changes faster than discovery runs. The teams that made this work treated the map as the source of truth and pushed changes through it, not around it.

2. Re: your feedback about write access - the "prototype to production-ready AWS" use case is interesting. That's where the value of context is highest (greenfield) and the risk is lowest (nothing to break yet). Much easier trust equation than "let it modify my production K8s cluster."

How are you handling the drift problem? Auto-discovery polling, change events from cloud providers, or something else?

kennethops•1w ago
>The real problem isn't lack of tools - it's that the knowledge is ephemeral. This 100% the problem. This is why we are trying to capture business context and attach it to the infra itself vs just keeping it in docs.

>How are you handling the drift problem? Auto-discovery polling, change events from cloud providers, or something else?

We built a pretty awesome approach to handling the drift problem. We do a combination of indexing, change even capture and then user behavior. So if a user is looking for a information we pull the live value first.