Powering React with Python (WASM)

Hacker News

A few weeks ago, Theo T3 posted a read-through of a Medium article showing how to augment an AngularJS website with WebAssembly in order to compute a factorial. I've been building a general(-ish) purpose Python compiler, mainly focused on numerical computing and AI inference. I figured it would make a good exercise to create something similar, this time with a bit more number crunching. I vibe-coded a Lightroom-esque image editor UI (thanks Claude!) then wrote a tiny Python function that does a contrast adjustment using PyTorch. It gets compiled to wasm with what I'm building, and runs blazing fast thanks to vectorized 128-bit wasm intrinsics (I wonder if we'll get 256-bit anytime soon). Play with it here: https://github.com/olokobayusuf/photo-editor . I'm exploring building a WebGPU-powered tensor framework to go even faster. Let me know what you think!

Visit product View on Hacker NewsApr 22, 2025

Share card

Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, tiny, using · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Mountaineer – Webapps in Python and React54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mountaineer – Webapps in Python and React

Hacker News145

"Who Is Hiring?" React and Python Top Requested60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

"Who Is Hiring?" React and Python Top Requested

Hacker News2

CustomStringParser ( Python)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CustomStringParser ( Python)

Hacker News1

Lusernews is an implementation of lamernews in python48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lusernews is an implementation of lamernews in python

Hacker News1

Do/While in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Do/While in Python

Hacker News4

Gatos, conCATenative functions for python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gatos, conCATenative functions for python

Hacker News1

A wrapper around datetime, pytz and tzlocal for Python 3.2+38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A wrapper around datetime, pytz and tzlocal for Python 3.2+

Hacker News1

Parallelizing word2vec in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parallelizing word2vec in Python

Hacker News3

piprot – How rotten are your [python] requirements?37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

piprot – How rotten are your [python] requirements?

Hacker News1

Fancy iterators for Python 2.7 - 3.x54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fancy iterators for Python 2.7 - 3.x

Hacker News5

Browse all products Analyze your launch