nowfound

AI · January 16, 2024

AiSilicon

Git-integrated GPU workloads, push to deploy & pull results

Visit site ↗AiSilicon alternativestop 20% of January 2024

What it does

Create a project and push to your new Git repository to automatically start a GPU-enabled Docker container that runs your code. Have your code write any output directly to the disk, then pull it back from the repository when your job is done.

Does a similar job

all alternatives →
  • GitArsenal2025 · ▲138

    From git clone to running code in one command

  • GR
    GPT Repo Loader – load entire code repos into GPT prompts2023 · github.com · ▲373

    I was getting tired of copy/pasting reams of code into GPT-4 to give it context before I asked it to help me, so I started this small tool. In a nutshell, gpt-repository-loader will spit out file paths and file contents in a prompt-friendly format. You can also use .gptignore to ignore files/folders that are irrelevant to your prompt. gpt-repository-loader as-is works pretty well in helping me achieve better responses. Eventually, I thought it would be cute to load itself into GPT-4 and have GPT-4 improve it. I was honestly surprised by PR#17. GPT-4 was able to write a valid an…

  • Runme.io2020 · ▲116

    Run your application from any public Git repo with one click

  • Ocean Orchestrator Mar 2026 · oncompute.ai · ▲139

    Run AI jobs from your IDE with a one-click workflow

  • Gitkube2018 · ▲90

    Build and deploy docker images to Kubernetes using git push.

  • KeystoneMar 2026 · github.com · ▲125

    Teach your repo how to run itself

More ai this month

the category →
  • I trained a 125M model to autocomplete piano on-device▲598

    I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 19d ago · simedw.com

  • Astute▲585

    Automate your B2B brand going viral, with new media creators

    AI · 20d ago · company-app.joinastute.com

  • Grok Bot▲547

    AI teammates that you can give real work to

    AI · 27d ago · x.ai

  • Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

    Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 29d ago · cactuscompute.com

  • Monid▲480

    One wallet, every paid tool your agent needs

    AI · 8d ago · monid.ai

  • Clara AI SDR▲460

    Turn website visitors into qualified pipeline

    AI · 21d ago · clarasdr.ai

Source: Product Hunt launch ↗

Launched alongside, January 2024

the whole month →