Show HN: Better Together – AI agents team up against spam calls and texts https://ift.tt/PyBi7V3

Show HN: Better Together – AI agents team up against spam calls and texts Launched https://ift.tt/JgLPZjN this weekend to allow our personal AI agents to collaborate on problems that are tough to solve solo. First up is dealing with spam texts and calls. https://ift.tt/BogI0ds November 2, 2026 at 04:19AM

Show HN: AirFlick Drop – AirDrop for Windows with zero mobile app installs https://ift.tt/gR2n5aY

Show HN: AirFlick Drop – AirDrop for Windows with zero mobile app installs https://ift.tt/j2Cys41 November 2, 2026 at 12:38AM

Show HN: Jik – a self-hosted language using region-based memory management https://ift.tt/q0wt9VS

Show HN: Jik – a self-hosted language using region-based memory management https://ift.tt/u6maX2p November 1, 2026 at 11:51PM

Show HN: A language model that lives in a boot sector https://ift.tt/GspZ5SY

Show HN: A language model that lives in a boot sector All the ideas came from the boot sector demo scene where people had been writing chess and BASIC games in 512 bytes, even a C compiler. I wondered what one can do using a neural network instead of a program and generating boot logs for non-existent hardware was something fun to try. Entire inference engine is 510 bytes of MBR, weights, vocab, and strings reside in the sectors following MBR. Small char-level neural network was trained on dmesg generated by machine, so machine produces Linux boot messages infinitely. train.py performs precisely the same integer arithmetic operations as the asm code does and thus produces an output identical character-by-character to the one produced by QEMU. The difference analysis revealed my favorite bug. The characters at the beginning matched those generated by the simulator, but then the output diverged. I retrieved the hidden layer via QEMU’s debug port and compared the neurons' values with those of the simulator, one neuron at a time. Only the value of the first neuron was correct. The activation involves idiv, and idiv stores its remainder in edx. The pointer to the biases table was stored in edx, which resulted in the first neuron being biased correctly and the following ones using garbage. Now the bias' address is determined from the loop counter, and no pointers have to survive the division. Another bug I found simply by looking at the code before I did my first run-through: the BIOS print routine zeros out bx, but bx contains the predicted character number. This explains the push and pop of bx surrounding the print. sectorllm is the most similar to my project, as it runs an actual 5-layer llama2 with attention mechanism in just 1.2K of assembly code. It is the trade-off in the opposite direction, as my engine needs to fit into one sector and therefore my network has just one hidden layer of int8 operations for dreaming the dmesg. https://ift.tt/c9EGVZQ October 31, 2026 at 04:58PM

Show HN: I rebuilt Kubernetes for ESP32 microcontrollers https://ift.tt/gUh0LJP

Show HN: I rebuilt Kubernetes for ESP32 microcontrollers https://ift.tt/czNhWJT October 29, 2026 at 08:35PM

Show HN: Pho – TUI for GitHub PRs https://ift.tt/uhpKORF

Show HN: Pho – TUI for GitHub PRs https://ift.tt/D3AXCWG October 29, 2026 at 11:02PM

Show HN: Fabivo – Furniture design from a photo to a numbered cut list https://ift.tt/f5zHh2y

Show HN: Fabivo – Furniture design from a photo to a numbered cut list Hello all, Ive been building Fabivo, a free furniture planner that runs in the browser. You sketch it simply by drawing it, (by far my favorite feature of this app), clicking for boards or just selecting some starting designs. But what i think separates fabivo from others its the image to model ai assistant, which took me a looong time to develop and get some quirks fixed, thanks god latest models are focusing on 3d, thats been helping too! The photo part is an image to JSON CAD harness: the model returns a parametric furniture model in mm that the app can build and edit. That harness is also what i benchmark, and honestly its the reason the app exists. I wanted to see if a photo could turn into a plan i could take to the saw. Also finetuned some image models and found interesting stuff, that was a first. My intention was to basically reuse the drawing feature to convert a 2d line sketch from image models like gpt image / nano banana to my parametric model, which "worked", and was actually thinking of using that for prod, but then cheaper/better models at 3d launched, but anyways, i learned a lot! Im getting better performance from my harness than from plain 3js, tho this is anecdotally and havent actually benchmarked it... Happy to answer anything, especially about the harness or the cut order. edit: Adding the numbers, missed them. 17 photos of real furniture, three models, same harness, medium reasoning, same tools. Scored on how close the returned structure and boards are to the gold model, so its my own set. (tho i have a hard time making a good scoring metric... just usually go by look!) Model (medium reasoning) Avg. time / photo Avg. input tokens / photo Avg. output tokens / photo Avg. tool calls / photo GPT-6.1 Terra 9.5 s 30,409 632 1.06 Claude Sonnet 5.5 13.6 s 50,167 1,592 1.18 Claude Haiku 5.5 34.9 s 66,786 6,658 2.35 Terra was both cheaper per photo and the most consistent to my likings. Sonnet was close on quality, Haiku needed way more tool calls to get there. https://ift.tt/PNsnSCm October 29, 2026 at 09:21AM

Show HN: I built a map of billboards and banners in Poland (gpy.pl) https://ift.tt/zg4RSCM

Show HN: I built a map of billboards and banners in Poland (gpy.pl) https://gpy.pl/ October 28, 2026 at 11:54PM

Show HN: A visual map of related food dishes from around the world https://ift.tt/HjXMTPg

Show HN: A visual map of related food dishes from around the world A fun, personal project - AI did a pretty good job. https://ift.tt/548Oag2 October 29, 2026 at 12:05AM

Show HN: CleanCode – Claude Code and Codex collaborating on one canvas https://ift.tt/WO4dubY

Show HN: CleanCode – Claude Code and Codex collaborating on one canvas https://ift.tt/2596cCl October 28, 2026 at 12:57AM

Show HN: Tar-minefield shows where tar implementations disagree https://ift.tt/sq1Lh4B

Show HN: Tar-minefield shows where tar implementations disagree https://ift.tt/RkcTmdp October 27, 2026 at 11:21PM

Show HN: Jog – GitHub runners for 80% less https://ift.tt/8yOtRfM

Show HN: Jog – GitHub runners for 80% less https://usejog.com/ October 27, 2026 at 10:51PM

Show HN: Glider 4.0 Unofficial Web Edition (Mac game port) https://ift.tt/Cm6tXd8

Show HN: Glider 4.0 Unofficial Web Edition (Mac game port) https://ift.tt/wPYbJfT https://ift.tt/IXp2aOT... https://dbohdan.github.io/glider/ October 26, 2026 at 03:18AM

Show HN: Termcraft – 2D terminal survival with multiplayer support https://ift.tt/ByR0CnE

Show HN: Termcraft – 2D terminal survival with multiplayer support Earlier this year, I started developing Termcraft, a terminal-based 2D survival game written in Rust. Since its first release more than half a year ago, I've added multiplayer support, so you can now host a game and play with friends (or colleagues during a meeting?); Up to 8 players. I've also substantially improved the visuals, lighting, physics, and overall gameplay. A friend and I ended up spending the entire weekend playing through the game from start to finish. The progression takes you from gathering wood and building a shelter to crafting equipment, exploring caves, finding diamonds, crossing the Nether, and fighting the Ender Dragon. There are villages, farming, collaborative building, PvP, and player chat along the way. It's open source under the AGPL-3.0 license, with downloadable builds for Linux, macOS, and Windows. Gameplay demo video: https://youtu.be/nn37_15dLFM Installation and controls: https://pagel-s.github.io/termcraft/ It's not perfect, but I'd love to hear your feedback and experiences with the game. Contributions are also more than welcome! https://ift.tt/iemhEW3 October 26, 2026 at 10:43PM

Show HN: SecuBuzz – Factual 60-word cybersecurity briefs and CISA zero-day radar https://ift.tt/9nj64tO

Show HN: SecuBuzz – Factual 60-word cybersecurity briefs and CISA zero-day radar https://secubuzz.com/ October 25, 2026 at 10:42PM

Show HN: Zubspace.gg – remake of 30yo Subspace game, a space MMO in the browser https://ift.tt/vbzKNXV

Show HN: Zubspace.gg – remake of 30yo Subspace game, a space MMO in the browser Hey all, SubSpace has been my favorite game since I was a kid playing it in 1997, and its always been a dream of mine to rebuild it for the browser so I could play from any OS and enjoy with others instantly. Here it is: https://zubspace.gg It's open source too: https://ift.tt/MZkxLY7 The project is written in Rust targets WASM+WebGL and uses WebRTC data channels for its networking layer for low latency game play :) just load up your favorite agent on it, and feel free to extend it https://zubspace.gg/ October 25, 2026 at 11:10PM

Show HN: Duls – A bit of du, a bit of ls. Best of both https://ift.tt/A9bDtNz

Show HN: Duls – A bit of du, a bit of ls. Best of both https://ift.tt/b2x1rtz October 25, 2026 at 12:14AM

Show HN: A phone lock I can't undo on impulse because I never learn the code https://ift.tt/PMsxDO9

Show HN: A phone lock I can't undo on impulse because I never learn the code https://ift.tt/ZtGz9OS October 24, 2026 at 06:22PM

Show HN: Agentsh – A Decentralized, Scalable Multiagent Harness https://ift.tt/AGEyvkL

Show HN: Agentsh – A Decentralized, Scalable Multiagent Harness https://ift.tt/RBntH1u October 24, 2026 at 10:19PM

Show HN: MXValidation – Send an email and get an authentication and DNS report https://ift.tt/NvRt26u

Show HN: MXValidation – Send an email and get an authentication and DNS report https://ift.tt/qenNtM5 October 23, 2026 at 11:27PM