The people and projects behind the lab

Built in good company.

PostTrainLLM grew by studying tools that solved hard problems in public. Here are the ideas we admired, the parts we tried, and the limits we kept.

Meet the projects

With thanks to

24 named tools and projects

  1. 01

    TrainLoop AI

    Research loops

    Read the story
  2. 02

    Baseten

    Factory framing

    Read the story
  3. 03

    Hugging Face

    Open baselines

    Read the story
  4. 04

    SQLCoder and Arctic Text2SQL

    Evaluation

    Read the story
  5. 05

    Apple Foundation Models

    Mac capability

    Read the story
  6. 06

    Castform

    Training loops

    Read the story
  7. 07

    Cline

    Agent architecture

    Read the story
  8. 08

    Gigatoken

    Data preparation

    Read the story
  9. 09

    Needle 2

    Small specialists

    Read the story
  10. 10

    parakeet.wgsl

    Browser runtimes

    Read the story
  11. 11

    Savante and Aryabhata

    Specialist data

    Read the story
  12. 12

    Bonsai 2

    Packaging

    Read the story
  13. 13

    QORL

    Evaluation

    Read the story
  14. 14

    vLLM

    Serving systems

    Read the story
  15. 15

    Splash

    Mac runtimes

    Read the story
  16. 16

    Halo

    Scale boundary

    Read the story
  17. 17

    Transformer Explainer

    Learning tools

    Read the story
  18. 18

    CoreML-LLM

    Mac runtimes

    Read the story
  19. 19

    MLX

    Mac foundations

    Read the story
  20. 20

    oMLX

    Mac runtimes

    Read the story
  21. 21

    Prime Intellect

    Scale boundary

    Read the story
  22. 22

    teale and Petals

    Scale boundary

    Read the story
  23. 23

    Weco AI

    Research loops

    Read the story
  24. 24

    Aster AI Labs

    Scale boundary

    Read the story