16:[[48542262,{"by":"kinduff","descendants":2,"id":48542262,"kids":[48566096,48551289],"score":4,"text":"Hey HN,

I've had this idea stuck in my head ever since I published Year in Pixels [1]. I've been adding a little thing here and there to this app, and now it feels nice enough to share.

It's very interesting what daily tracking does to one's mind. While I already have apps to track everything else like sleep, heart rate, etc., I was still missing something to track my mood. The simple act of thinking about how you feel a couple of times a day already changes things. A moment of reflection.

I opted to add Astrology, Checks (habits), and other goodies. Hope you like it as much as I do.

Best,\n@kinduff

[1]: https://news.ycombinator.com/item?id=16199871","time":1781535583,"title":"Show HN: Mood","type":"story","url":"https://mood.lasagna.pizza/"}],[48543245,{"by":"bwm","descendants":35,"id":48543245,"kids":[48544704,48544281,48544629,48548431,48551254,48545619,48546947,48544325,48558121,48546269,48546173,48546979,48545752,48544891,48546563,48544420],"score":90,"text":"$17","time":1781539303,"title":"Show HN: machine0 – Persistent NixOS VMs You Control from the CLI","type":"story","url":"https://machine0.io"}],[48498421,{"by":"dougcalobrisi","descendants":91,"id":48498421,"kids":[48499693,48504532,48499341,48499884,48502642,48502607,48529999,48501434,48498962,48501649,48499210,48503358,48499694,48499988,48502257,48500248,48499208,48514554,48501266,48501344,48514243,48503788,48509032,48499235,48503731,48503126,48499151,48501691,48503167,48505559,48498493,48502694,48501784,48498915,48501676],"score":178,"time":1781224931,"title":"Removing 'um' from a recording is harder than it sounds","type":"story","url":"https://doug.sh/posts/erm-a-local-cli-that-strips-ums-uhs-and-erms-from-speech/"}],[48492177,{"by":"CallumFerg","descendants":34,"id":48492177,"kids":[48499168,48498348,48498293,48503886,48498440,48500782,48500202,48498386,48499798,48500179,48498942,48499074,48498674,48498262,48498770],"score":68,"time":1781193661,"title":"MTG Bench: Testing how well LLMs can play Magic","type":"story","url":"https://mtgautodeck.com/articles/mtg-bench/"}],[48496250,{"by":"kylecarbs","descendants":28,"id":48496250,"kids":[48496915,48498546,48504958,48497970,48497247,48501679,48500122,48498355,48501518,48500071,48497085],"score":95,"time":1781211146,"title":"Show HN: Boo – Screen-style terminal multiplexer built on libghostty","type":"story","url":"https://github.com/coder/boo"}],[48453666,{"by":"octalide","descendants":31,"id":48453666,"kids":[48455191,48457750,48459323,48454825,48454933,48473123,48474452,48457777,48457308,48454090,48457669,48457304,48456330],"score":32,"text":"$18","time":1780959920,"title":"Show HN: Mach – A compiled systems language looking for contributions","type":"story","url":"https://github.com/octalide/mach"}],[48469039,{"by":"0kenx","descendants":13,"id":48469039,"kids":[48470919,48472113,48472984,48471982,48472908,48483485,48484969,48539435,48469053,48469871],"score":40,"text":"$19","time":1781046220,"title":"Show HN: Nucleus – A security-hardened, Nix-native container runtime","type":"story","url":"https://github.com/sig-id/nucleus"}],[48459913,{"by":"micstradev","descendants":24,"id":48459913,"kids":[48464931,48467965,48472972,48466034,48464407,48465425,48467993,48468972,48469362,48459917,48461187],"score":48,"text":"$1a","time":1781006185,"title":"Show HN: Learn from 30 historical figures, open source, nonprofit, self-hosted","type":"story","url":"https://github.com/chipmates/agoracosmica"}],[48410841,{"by":"mrkn1","descendants":17,"id":48410841,"kids":[48418667,48412158,48413686,48421453,48413989,48411253,48413932,48412755,48436599],"score":19,"time":1780658170,"title":"Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages","type":"story","url":"https://github.com/kouhxp/textsnap"}],[48399358,{"by":"nab","descendants":79,"id":48399358,"kids":[48405988,48400566,48400707,48401619,48400641,48401840,48401773,48402045,48402714,48402063,48404757,48405660,48400758,48421405,48402552,48402788,48400947,48400878,48402474,48400867,48410135,48419090,48402607,48402807,48419703,48420747,48402029,48436875,48406950],"score":105,"text":"$1b","time":1780583915,"title":"Show HN: Boxes.dev: ditch localhost; run Claude Code and Codex in the cloud","type":"story","url":"https://boxes.dev"}],[48407998,{"by":"sermakarevich","descendants":7,"id":48407998,"kids":[48438658,48409984,48426801,48433629,48420856,48428123,48410118,48411180],"score":10,"text":"$1c","time":1780634049,"title":"Show HN: Lessons learned from running Claude Code swarms at scale","type":"story"}],[48397148,{"by":"akh","descendants":29,"id":48397148,"kids":[48409962,48469285,48476727,48416540,48404500,48467386,48404545,48471141,48403202,48410586,48478723,48410186,48485454,48408796,48411142,48405225,48406935,48423780,48409711,48398281,48411172,48476184],"score":48,"text":"$1d","time":1780572613,"title":"Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call","type":"story","url":"https://cost.dev/"}],[48373593,{"by":"oryocyph","descendants":5,"id":48373593,"kids":[48379216,48374463,48380394,48378691],"score":4,"text":"Context: Working as a senior software engineer in one of the big techs.

One of the goals for senior engineers in my organization is to identify and implement AI initiatives.

I'm already familiar with and actively using MCPs, AI agents, plugins etc. While they've been useful, it feels like most people in my company are already working on this.

I was curious whether your organization has built or adopted any AI powered tools, workflows, or use cases that have delivered meaningful business value and could potentially be adapted by other organizations as well.","time":1780422443,"title":"AI Goal: Senior Software Engineer","type":"story"}],[48371562,{"by":"ammar2","descendants":101,"id":48371562,"kids":[48379467,48383729,48379501,48379430,48380077,48381092,48380934,48379528,48379886,48380842,48383786,48383912,48381866,48385913,48380275,48380102,48380674,48385017,48382442,48379591,48393077,48381457,48381971,48381375,48382129,48381370,48396009,48382585,48380321,48383484,48379924,48382114,48383278,48380797,48380915,48381851,48379484],"score":660,"time":1780414145,"title":"1-Click GitHub Token Stealing via a VSCode Bug","type":"story","url":"https://blog.ammaraskar.com/github-token-stealing/"}],[48347255,{"by":"garysmith1234","descendants":1,"id":48347255,"kids":[48353601,48486766,48348218,48351907,48354199,48349987],"score":4,"text":"I'm building Deliberate in response to the PocketOS incident in April and the DataTalks.Club incident in February.\nJer Crane could see the API call that deleted his prod volume. He couldn't see that the agent had other options and picked the worst one. Trace tools show you what ran.\nI wanted something that shows you what the agent was choosing between. Early access for teams running LangGraph or OpenAI Agents in prod.","time":1780246248,"title":"Show HN: Deliberate – log what your agent rejected, not just what it ran","type":"story","url":"https://www.deliberate.dev/"}],[48340315,{"by":"marekkowalczyk","descendants":55,"id":48340315,"kids":[48345954,48345153,48363741,48344687,48344155,48344234,48349973,48355124,48345321,48345183,48352865,48345347,48353461,48348626,48349886,48347311,48351631,48372651,48346678,48343886,48347168,48354757,48349033,48345364,48344641,48345795,48345587,48343895,48377048,48344145],"score":132,"text":"$1e","time":1780173053,"title":"Show HN: Breathe CLI – Paced resonance breathing in the macOS terminal","type":"story","url":"https://github.com/marekkowalczyk/breathe-cli"}],[48345201,{"by":"kenforthewin","descendants":19,"id":48345201,"kids":[48349013,48346635,48346165,48354078,48346269,48346572,48378118,48351390,48368239,48354571,48352781,48352783,48349430,48349963],"score":67,"time":1780230774,"title":"Show HN: Atomic Editor – Obsidian-style live preview for CodeMirror 6","type":"story","url":"https://kenforthewin.github.io/atomic-editor/"}]]

user:	lavaman131
created:	April 28, 2026
karma:	7
about:	I'm at Microsoft Research building agentic systems. Previously I've worked on AI/ML at biotech companies, start ups, and have a background in computer vision research. I'm very passionate about coding agents and what actually works in production.