HackerTrans
トップ新着トレンドコメント過去質問紹介求人

sdan

no profile record

投稿

[untitled]

1 ポイント·投稿者 sdan·2 か月前·0 コメント

Show HN: I rebuilt my Twitter For You feed

1 ポイント·投稿者 sdan·2 か月前·1 コメント

Show HN: Backlist – an AI-generated front page for my Twitter timeline

backlist.sdan.io
1 ポイント·投稿者 sdan·2 か月前·0 コメント

Information Asymmetry

sdan.io
2 ポイント·投稿者 sdan·3 か月前·0 コメント

We sped up bun by 100x

vers.sh
54 ポイント·投稿者 sdan·3 か月前·61 コメント

Software Century

sdan.io
3 ポイント·投稿者 sdan·4 か月前·0 コメント

Show HN: ContinualCode – a coding agent that updates its weights from feedback

sdan.github.io
1 ポイント·投稿者 sdan·5 か月前·0 コメント

Training a trillion parameter model to be funny

jokegen.sdan.io
47 ポイント·投稿者 sdan·5 か月前·39 コメント

Show HN: Scroll Wikipedia like TikTok

quack.sdan.io
330 ポイント·投稿者 sdan·6 か月前·88 コメント

Scroll Wikipedia Like TikTok

quickquack.sdan.io
1 ポイント·投稿者 sdan·6 か月前·1 コメント

Show HN: vmux – Run Python in Cloudflare containers in 3s

vmux.sdan.io
3 ポイント·投稿者 sdan·6 か月前·0 コメント

Show HN: Real-Time Website Generator

sudo.sdan.io
1 ポイント·投稿者 sdan·7 か月前·0 コメント

Show HN: I embedded 10M StreetView images

view.geospot.sdan.io
14 ポイント·投稿者 sdan·7 か月前·5 コメント

Show HN: Run LLMs locally with WebGPU

qwen-web.sdan.io
2 ポイント·投稿者 sdan·7 か月前·0 コメント

ShowHN: I made an embedding model that guesses where a picture was taken

geospot.sdan.io
3 ポイント·投稿者 sdan·7 か月前·1 コメント

Show HN: A computer-use Mac client for Claude Opus 4.5

github.com
3 ポイント·投稿者 sdan·8 か月前·1 コメント

Show HN: Claude Opus 4.5 plays League of Legends

github.com
2 ポイント·投稿者 sdan·8 か月前·0 コメント

Show HN: A model that guesses the location of a photo

geospot.sdan.io
1 ポイント·投稿者 sdan·8 か月前·0 コメント

Every app is a RL environment

sdan.io
2 ポイント·投稿者 sdan·8 か月前·0 コメント

On-Policy Distillation

thinkingmachines.ai
6 ポイント·投稿者 sdan·9 か月前·0 コメント

コメント

sdan
·27 日前·議論
nice! kind of similar but re-made a scrollable wikipedia a few weeks ago: https://quack.sdan.io/
sdan
·6 か月前·議論
sorry not the UI but specifically the content. every new post on the feeds that are not "Following" are created in realtime. just a demo showing whats possible but I could just generate them before hand in bulk too.
sdan
·6 か月前·議論
thanks! i spent last weekend building out the engine to create content but agree UI needs more polish. this is all great feedback will try getting out v2 of quickquack rebranded to wikwok :)
sdan
·6 か月前·議論
Wikipedia articles are randomly sampled, theres no algorithm per-se yet but hoping to collaborate with others to see that through
sdan
·6 か月前·議論
how could i make it more useful? different formats? would you want to keep you engaged for longer? entertained for longer?
sdan
·6 か月前·議論
great suggestion ! i might change it to wikwok, so good
sdan
·6 か月前·議論
Note there's a rate limit on generated content for the time being, why you're unable to see any new content on the rest of the feeds. LLMs are expensive!
sdan
·6 か月前·議論
A few months ago I made a (theoretically) infinitely learning geo-guessing model that updated the policy with each user guess: https://geospot.sdan.io/

Hoping to implement a simple RL loop here and optimize whats generated by the LLM to create the perfect slop machine :)
sdan
·6 か月前·議論
https://marketplace.visualstudio.com/items?itemName=SuryaDan...

for clarification :)
sdan
·6 か月前·議論
thanks
sdan
·6 か月前·議論
nice did you make this just for the comment? haha
sdan
·6 か月前·議論
Yes I have base css/js that I inject on top of whatever codegen gemini 3 comes back with -- It runs via ai-sdk so the specific function is streamObject which is prompted to generate inner HTML elements
sdan
·6 か月前·議論
Thanks! Half of the work here was getting gemini to generate reasonable canvas animations within the window. I'm still experimenting which "style" I should keep/add
sdan
·6 か月前·議論
Huge- good to hear will see if I can add a way to type in what you want or to go dig further into just certain hashtags.
sdan
·6 か月前·議論
Yes just fixed timer, and using browser TTS nothing fancy here on purpose - when I did some research on tiktok videos generally simpler/worse quality seemed to be better XD
sdan
·7 か月前·議論
To prevent overfitting
sdan
·7 か月前·議論
Getting there! training a new model, on thinking machines' tinker api which uses a considerably larger and different architecture.

In the meanwhile I tried at least 100+ variations of trying to train this model to be SOTA most of which led me down getting better data which I believe I do, just needs more tuning still.
sdan
·7 年前·議論
Heard some friends do dropshipping on places like Amazon or Shopify, although I can't attest to the validity/how successful it actually is.