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AirSnitch: Demystifying and breaking client isolation in Wi-Fi networks [pdf]

https://www.ndss-symposium.org/wp-content/uploads/2026-f1282-paper.pdf
251•DamnInteresting•4h ago•125 comments

Launch HN: Cardboard (YC W26) – Agentic video editor

https://www.usecardboard.com/
38•sxmawl•2h ago•15 comments

Will vibe coding end like the maker movement?

https://read.technically.dev/p/vibe-coding-and-the-maker-movement
149•itunpredictable•4h ago•167 comments

Palm OS User Interface Guidelines (2003) [pdf]

https://cs.uml.edu/~fredm/courses/91.308-spr05/files/palmdocs/uiguidelines.pdf
99•spiffytech•3h ago•37 comments

I baked a pie every day for a year and it changed my life

https://www.theguardian.com/lifeandstyle/2026/feb/22/a-new-start-after-60-i-baked-a-pie-every-day...
124•NaOH•2d ago•77 comments

Show HN: Rev-dep – 20x faster knip.dev alternative build in Go

https://github.com/jayu/rev-dep
23•jayu_dev•1h ago•5 comments

What Claude Code Chooses

https://amplifying.ai/research/claude-code-picks
46•tin7in•2h ago•23 comments

Show HN: Deff – side-by-side Git diff review in your terminal

https://github.com/flamestro/deff
37•flamestro•2h ago•21 comments

Google API keys weren't secrets, but then Gemini changed the rules

https://trufflesecurity.com/blog/google-api-keys-werent-secrets-but-then-gemini-changed-the-rules
1142•hiisthisthingon•1d ago•273 comments

Museum of Plugs and Sockets

https://plugsocketmuseum.nl/index.html
14•ohjeez•3d ago•0 comments

Nano Banana 2: Google's latest AI image generation model

https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/
375•davidbarker•4h ago•365 comments

OsmAnd's Faster Offline Navigation

https://osmand.net/blog/fast-routing/
30•todsacerdoti•2h ago•11 comments

Bild AI (YC W25) Is Hiring Interns to Make Housing Affordable

https://www.workatastartup.com/jobs/80596
1•rooppal•3h ago

The Wolfram S Combinator Challenge

https://www.combinatorprize.org/
33•paraschopra•3d ago•6 comments

Show HN: Terminal Phone – E2EE Walkie Talkie from the Command Line

https://gitlab.com/here_forawhile/terminalphone
259•smalltorch•10h ago•62 comments

BuildKit: Docker's Hidden Gem That Can Build Almost Anything

https://tuananh.net/2026/02/25/buildkit-docker-hidden-gem/
110•jasonpeacock•6h ago•29 comments

Show HN: Linex – A daily challenge: placing pieces on a board that fights back

https://www.playlinex.com/
26•Humanista75•1d ago•14 comments

Google Street View in 2026

https://tech.marksblogg.com/google-street-view-coverage.html
89•marklit•3h ago•64 comments

Show HN: Mission Control – Open-source task management for AI agents

https://github.com/MeisnerDan/mission-control
21•meisnerd•7h ago•4 comments

Steering interpretable language models with concept algebra

https://www.guidelabs.ai/post/steerling-steering-8b/
27•luulinh90s•20h ago•1 comments

Show HN: Hacker Smacker – spot great (and terrible) HN commenters at a glance

https://hackersmacker.org
56•conesus•2d ago•41 comments

just-bash: Bash for Agents

https://github.com/vercel-labs/just-bash
88•tosh•7h ago•48 comments

Show HN: Beehive – Multi-Workspace Agent Orchestrator

https://storozhenko98.github.io/beehive/
26•mst98•2d ago•16 comments

Open Source Endowment – new funding source for open source maintainers

https://endowment.dev/
152•kvinogradov•4h ago•105 comments

This time is different

https://shkspr.mobi/blog/2026/02/this-time-is-different/
56•speckx•7h ago•76 comments

He saw an abandoned trailer. Then, uncovered a surveillance network

https://calmatters.org/justice/2026/02/alpr-border-patrol-caltrans/
64•Element_•2h ago•25 comments

iPhone and iPad approved to handle classified NATO information

https://www.apple.com/newsroom/2026/02/iphone-and-ipad-approved-to-handle-classified-nato-informa...
66•throwfaraway4•2h ago•33 comments

Jimi Hendrix was a systems engineer

https://spectrum.ieee.org/jimi-hendrix-systems-engineer
633•tintinnabula•1d ago•223 comments

Banned in California

https://www.bannedincalifornia.org/
467•pie_flavor•21h ago•547 comments

Tell HN: YC companies scrape GitHub activity, send spam emails to users

515•miki123211•11h ago•190 comments
Open in hackernews

Show HN: Mission Control – Open-source task management for AI agents

https://github.com/MeisnerDan/mission-control
21•meisnerd•7h ago
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem

When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification - Each agent context-switches constantly because you're hand-feeding them work

I was manually shepherding agents, copying task descriptions, restarting failed sessions, and losing track of what needed done next. It felt like hiring expensive contractors but managing them like a disorganized chaos experiment.

The Solution

Mission Control is a task management app purpose-built for delegating work to AI agents. It's got the expected stuff (Eisenhower matrix, kanban board, goal hierarchy) but built from the assumption that your collaborators are Claude, not humans.

The killer feature is the autonomous daemon. It runs in the background, polls your task queue, spawns Claude Code sessions automatically, handles retries, manages concurrency, and respects your cron-scheduled work. One click: your entire work queue activates.

The Architecture

- Local-first: Everything lives in JSON files. No database, no cloud dependency, no vendor lock-in. - Token-optimized API: The task/decision payloads are ~50 tokens vs ~5,400 unfiltered. Matters when you're spawning agents repeatedly. - Rock-solid concurrency: Zod validation + async-mutex locking prevents corruption under concurrent writes. - 193 automated tests: This thing has to be reliable. It's doing unattended work.

The app is Next.js 15 with 5 built-in agent roles (researcher, developer, marketer, business-analyst, plus you). You define reusable skills as markdown that get injected into agent prompts. Agents report back through an inbox + decisions queue.

Why Release This?

A few people have asked for access, and I think it's genuinely useful for anyone delegating to AI. It's MIT licensed, open source, and actively maintained.

What's Next

- Human collaboration (sharing tasks with real team members) - Integrations with GitHub issues and email inboxes - Better observability dashboard for daemon execution - Custom agent templates (currently hardcoded roles)

If you're doing something similar—delegating serious work to AI—check it out and let me know what's broken.

GitHub: https://github.com/MeisnerDan/mission-control

Comments

ge96•2h ago
Interesting that most of it is markdown

well except the mission control folder

code is mix of old and new style JS eg. function vs. =>

at a cursory glance the UI has way too many buttons/features but probably makes sense when you're in the weeds/using it, it makes sense the more I look at it though

xiphias2•1h ago
Congrats! Great try!

I have a different view point on what to automate and I'm working differently with agents, but I much prefer seeing projects like this on HN to just product announcements.

cschneid•21m ago
Can this take vague ideas, do iterative design with me, and breakdown tasks to then pass off to agents to build?

I was playing with a very similar project recently that was more focused on a high level input ("Build a new whatever dashboard, <more braindump>") and went back and forth with an agent to clarify and refine. Then broke down into Epics/Stories/Tasks, and then handed those off automatically to build.

The workflow then is iterating on those high level requests. Heavily inspired by the dark factory posts that have been making the rounds recently.

From a glance, it seems like this is designed so that I write all the tasks myself? Does it have any sort of coordination layer to manage git, or otherwise keep agents from stepping on each other?

zingar•13m ago
Could you tell us what makes this different from other agent orchestration software?

Also I’m struggling to understand the significance of the 193 tests. Are these to validate the output of the agents?

If they’re just there to prevent regressions in your code, the size of a test suite is not usually a selling point. In particular, for a product this complicated, 193 is a small number of tests, which either means each test does a lot (probably too much) or you’re lacking coverage. Either way I wouldn’t advertise “193 tests”.