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The P in PGP isn't for pain: encrypting emails in the browser

https://ckardaris.github.io/blog/2026/02/07/encrypted-email.html
1•ckardaris•30s ago•0 comments

Show HN: Mirror Parliament where users vote on top of politicians and draft laws

https://github.com/fokdelafons/lustra
1•fokdelafons•58s ago•0 comments

Ask HN: Opus 4.6 ignoring instructions, how to use 4.5 in Claude Code instead?

1•Chance-Device•2m ago•0 comments

We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
1•ColinWright•5m ago•0 comments

Jim Fan calls pixels the ultimate motor controller

https://robotsandstartups.substack.com/p/humanoids-platform-urdf-kitchen-nvidias
1•robotlaunch•8m ago•0 comments

Exploring a Modern SMTPE 2110 Broadcast Truck with My Dad

https://www.jeffgeerling.com/blog/2026/exploring-a-modern-smpte-2110-broadcast-truck-with-my-dad/
1•HotGarbage•8m ago•0 comments

AI UX Playground: Real-world examples of AI interaction design

https://www.aiuxplayground.com/
1•javiercr•9m ago•0 comments

The Field Guide to Design Futures

https://designfutures.guide/
1•andyjohnson0•10m ago•0 comments

The Other Leverage in Software and AI

https://tomtunguz.com/the-other-leverage-in-software-and-ai/
1•gmays•12m ago•0 comments

AUR malware scanner written in Rust

https://github.com/Sohimaster/traur
3•sohimaster•14m ago•1 comments

Free FFmpeg API [video]

https://www.youtube.com/watch?v=6RAuSVa4MLI
3•harshalone•14m 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•19m ago•0 comments

Show HN: AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•19m ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•20m ago•0 comments

Solid-State Freezer Needs No Refrigerants

https://spectrum.ieee.org/subzero-elastocaloric-cooling
2•Brajeshwar•21m ago•0 comments

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

1•mc-0•22m 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•22m ago•1 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
8•c420•23m ago•1 comments

How to Fake a Robotics Result

https://itcanthink.substack.com/p/how-to-fake-a-robotics-result
1•ai_critic•23m 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
3•HotGarbage•24m ago•0 comments

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

https://jslambda.github.io/tldr-vsearch/
1•jslambda•24m ago•1 comments

The AI CEO Experiment

https://yukicapital.com/blog/the-ai-ceo-experiment/
2•romainsimon•25m ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
4•surprisetalk•29m ago•0 comments

MS-DOS game copy protection and cracks

https://www.dosdays.co.uk/topics/game_cracks.php
4•TheCraiggers•30m 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•31m 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
14•doener•31m ago•2 comments

MyFlames: View MySQL execution plans as interactive FlameGraphs and BarCharts

https://github.com/vgrippa/myflames
1•tanelpoder•32m ago•0 comments

Show HN: LLM of Babel

https://clairefro.github.io/llm-of-babel/
1•marjipan200•32m ago•0 comments

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

https://github.com/lance0/xfr
3•tanelpoder•34m ago•0 comments

Famfamfam Silk icons – also with CSS spritesheet

https://github.com/legacy-icons/famfamfam-silk
1•thunderbong•34m ago•0 comments
Open in hackernews

Why Hard and Deep Tech Programs Keep Failing (It's Not the Engineering)

https://www.bain.com/insights/beyond-program-management-a-bold-fix-for-aerospace-and-defense-programs-brief/
1•dnlh_lvg•2mo ago

Comments

dnlh_lvg•2mo ago
I usually find these kinds of articles by big consulting companies distracting/inaccurate (WAGs), but this one by Bain on why programs in hard/deep tech (aerospace, maritime, nuclear, robotics, etc.) keep blowing schedules and budgets is pretty darn good. Their main point is basically, “it’s a coordination problem, not an engineering problem.” After ~10 years bouncing around places like SpaceX, Northrop, ABL, etc., that’s pretty much what I saw too.

Some patterns I personally ran into:

1. The most chaotic part of any hardware program is the few months before there are real procedures. You’re trying to outline a test campaign, or an I&T flow, or some intense multi-org field op, while requirements and configs are still shifting every week. The "plan" ends up being slides, spreadsheets, random trackers, emails, and whatever a couple people keep in their heads. Everyone thinks they have the latest version, but no one actually does.

2. Everything becomes the “source of truth,” just not at the same time. Test leads update a spreadsheet. PMs update a slide deck. Engineering updates Jira. Ops has a readiness checklist. Leadership looks at some dashboard. These drift out-of-sync fast. Most “surprises” are just stale artifacts.

3. Hardware programs have real temporal/resource/personnel/location couplings that normal PM tools can't handle. For things like a ten day test campaign or integrated field op with three other companies out in the middle of nowhere, good luck using Asana, smartsheets, or ppt. Hardware stuff is tied to tings like facility windows, equipment readiness, partner dependencies, safety constraints, sequence logic, etc. If one thing moves, every other thing needs to reflow too. Most orgs are doing this manually, which means the plan is obsolete the moment it’s written since plans change all the time in our world.

4. The moment multiple orgs are involved, everything breaks faster. Spacecraft <> LV; Prime <> suppliers; Customer <> integrator; Engineering <> test houses; etc. Everyone uses their own tool stack, their own cadence/workflows, their own naming conventions. Nothing interoperates in a meaningful way, so schedule drift and misalignments accumulate at the boundaries.

5. People outside these industries say “just use ERP/MRP/CRM/etc.” Those tools have their place, but they're optimized mostly for orgs creating highly repeatable and mass manufacturable products with very little differentiation. Space, nuclear, robotics, energy, a lot of deep-tech.. none of them are well suited for these tools. They're low-volume, high-variability, tons of uncertainty, long lead items, complex sequencing, one-off integrations, etc. You’re basically inventing a new process every cycle. The modern enterprise stack isn’t designed for that topology of work.

6. Most PMs/engineers/ops people aren’t failing. They’re just stuck in workflows that don’t match the complexity of what they’re doing. In other words, their workflows are majorly constrained by the limited tools available to them. In practice the “workflow” is realistically like... update the slide -> export PDF -> update spreadsheet -> copy things into Jira -> paste into Confluence -> send update email -> update IMS/Gantt -> track all upstream/downstream effects -> sync with partners -> redo everything when a date or other detail slips -> repeat weekly. No one is set up to win under that overhead.

The root cause to all of these issues is that there’s no shared environment where teams can plan + adjust + sync on things like complex ops (and overall programs) before formal procedures and documentation exist, especially when multiple orgs are involved.

Curious how others here have seen this. If you’ve worked in aerospace/maritime/defense/robotics/energy/etc., what did your team actually do to survive the early-phase chaos between requirements and procedures? Did anything actually work?