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Week 39, 2026 launch recap

AI products launched Sep 21 – Sep 27, 2026 UTC. Final results.

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Top 10 of the week

  1. 1
    Mini-AGI

    Dynamic continual learning model trained on 8GB VRAM

    mini-AGI is a byte-level language model that trains from scratch on a single 8 GB VRAM GPU and keeps learning from a continuous stream of text. Weights live on disk and are paged onto the GPU as needed, so model size is bounded by disk spac

    0 commentsY▲ 277 on HNLLMs & InfrastructureResearch & DataOpen Sourceby AI Launch Team

  2. 2
    Cactus Needle 3

    8-29MB automation models can match DeepSeek V4 Flash

    Needle 3 is an 8-29 MB foundation model from Cactus for phones, wearables, robots, smart home devices, cars and microcontrollers. It trades general chat ability for strong tool calling, structured extraction and text embeddings, running ful

    0 commentsY▲ 236 on HNLLMs & InfrastructureFreemiumby AI Launch Team

  3. 3
    LLM Attention Visualization

    A visualization of the attention mechanism in LLMs.

    An interactive visualization of the attention mechanism in a small large language model. Hover or tap any generated token to see which earlier tokens influenced it, with opacity scaled by attention weight across all heads and layers. Exampl

    0 commentsY▲ 177 on HNResearch & DataLLMs & InfrastructureFreeby AI Launch Team

  4. 4
    JevBench

    A reproducible benchmark for typed decision models

    JevBench, from Benchmark Heaven, compares Jev-class decision models across intelligence, calibration, speed and cost. It sits alongside Benchmark Heaven's broader model rankings, which can be filtered by provider, lab, hosting region and da

    0 commentsY▲ 153 on HNResearch & DataLLMs & InfrastructureFreeby AI Launch Team

  5. 5
    Kinesis

    Control your Mac with the Meta Neural Band

    Kinesis is a highly experimental macOS app that lets you control your Mac with a Meta Neural Band. Swipe between desktops, open Mission Control, control music, and pinch and turn for volume or brightness. You choose the gesture mappings, pr

    0 commentsY▲ 122 on HNProductivityOpen Sourceby AI Launch Team

  6. 6
    PacBench

    How well can models one-shot a Pac-Man game?

    PacBench tests how well a model and harness can recreate Pac-Man from one prompt: "Create a Pac-Man game in a single html page." Entries from different models and harnesses can be sorted by score, cost, time and tokens, with run data for ea

    0 commentsY▲ 78 on HNCoding & Dev ToolsResearch & DataFreeby AI Launch Team

  7. 7
    Chess Post-mortem Skills

    Claude Code skills that turn your chess games into readable post-mortems

    Claude Code skills that turn one of your chess games into a post-mortem you can read: plain-language explanations of your mistakes, checked against Stockfish, an annotated PGN, an HTML viewer and a narrated video. You can also record yourse

    0 commentsY▲ 75 on HNCoding & Dev ToolsProductivityOpen Sourceby AI Launch Team

  8. 8
    Lossless-memory

    A personal AI memory that never summarizes

    lossless-memory is a long-term memory system for a personal AI assistant that never summarizes. It keeps every raw line, timestamps everything, and searches by time first and words second, returning results in chronological order. A small i

    0 commentsY▲ 67 on HNLLMs & InfrastructureProductivityOpen Sourceby AI Launch Team

  9. 9
    Jevstiller

    Distill Jev into a local model – with a disagreement bound

    Jevstiller distills a hosted Jev classifier into a local model, with a measured bound on how often the local model disagrees with Jev. It runs as a drop-in proxy, so batch jobs avoid a network call per answer while keeping answers close to

    0 commentsY▲ 63 on HNLLMs & InfrastructureOpen Sourceby AI Launch Team

  10. 10
    Pizza Bot

    An inbox for AI agents that work in the background

    Pizza Bot is an inbox for long-running AI work. Start or schedule a task, walk away, and come back to finished work in Unread and decisions waiting in Action. Agents keep running when you disconnect, and the same app works on desktop, web a

    0 commentsY▲ 61 on HNAI AgentsProductivityOpen Sourceby AI Launch Team

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