I sandboxed OpenAI's Symphony orchestrator in one file using YSA

Hacker News

YSA is an open source sandbox runtime for AI agents. Each task runs in an isolated Podman container with a network proxy that filters every outbound request. This example repo shows how to connect it to Symphony (OpenAI's agent orchestrator) — the entire integration is one new file, runner/ysa.ts. The demo shows an agent attempting to POST data to an external URL and getting blocked by the network proxy. Demo Repo: https://github.com/ysa-ai/ysa-symphony-example YSA: https://github.com/ysa-ai/ysa

Visit product View on Hacker NewsMar 23, 2026

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, new · Missing: mac, macos, cursor

94%94% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Cataloging the NYRB and LRB with OpenAI Embeddings46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cataloging the NYRB and LRB with OpenAI Embeddings

Hacker News3

Neovim plugin for using OpenAI Codex44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neovim plugin for using OpenAI Codex

Hacker News4

OpenAI O1 for Free55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAI O1 for Free

Hacker News4

Quantarded, extracting WSB stock signals using OpenAI42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quantarded, extracting WSB stock signals using OpenAI

Hacker News2

Attorch – PyTorch's nn module written in Python using OpenAI's Triton67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Attorch – PyTorch's nn module written in Python using OpenAI's Triton

Hacker News4

I Made a ChatGPT Clone Using OpenAI GPT-339%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Made a ChatGPT Clone Using OpenAI GPT-3

Hacker News3

Cdist configuration file49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cdist configuration file

Hacker News2

Parsing MXNet Parameter File in C++41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parsing MXNet Parameter File in C++

Hacker News1

Replica, id3 file cloner46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replica, id3 file cloner

Hacker News1

DHCP as a file system – an experiment with Go and FUSE40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DHCP as a file system – an experiment with Go and FUSE

Hacker News34

Browse all products Analyze your launch