Nicheloom

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I built GPT from scratch to understand how it works

Details

External ID
46613808
Source
HN
Company
—
Product
I built GPT from scratch to understand how it works
Website domain
github.io
Launched
Jan. 14, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.3544137022397892
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

If you’ve ever been curious about how GPT actually works under the hood, I built a small project you might find interesting. I implemented a GPT-style transformer from scratch in a single notebook—covering tokenization, embeddings, causal self-attention, training, and autoregressive text generation without relying on high-level abstractions. The focus was on mechanistic clarity rather than scale or performance, and the notebook is structured to read more like a technical walkthrough than an experiment log. Feedback from people who’ve built or studied transformers would be very welcome.

Enrichment

Theme
multimodal generative ai and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
gpt implementation from scratch
Manually corrected
False

Could you build this?

Yes The author built an educational nanoGPT-style transformer in a single Python notebook using PyTorch. Implementing basic causal self-attention, tokenization, and forward passes is a well-trodden tutorial path that AI assistants can generate comprehensively.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 76 launches clear the similarity bar, closest 8 shown.

Attention rank: #51 of 77 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 75 days after the earliest competitor.

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