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Ghostpipe – Connect files in your codebase to user interfaces

Hacker News

Ghostpipe – Connect files in your codebase to user interfaces

Hey HN! I built Ghostpipe because: 1. I like to keep data about my software in the codebase and under version control. 2. I don’t like always working in raw text files with domain specific languages (eg Terraform, Openapi, er diagrams). Ghostpipe is an open source tool that creates a bridge between files in your codebase and applications using webrtc. This lets developers work with user interfaces where appropriate, while still having access to the underlying raw text files. A few side-benefits to this setup are: 1. AI agents are good at working with local text files, so we can keep using those. 2. Generally speaking, no signup or installation is needed to use Ghostpipe apps, because all relevant data is in the codebase. I built a few demo apps with Ghostpipe support (Excalidraw & Swagger UI), and I hope this proof of concept spurs some interest in taking this idea further. Thanks!

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, apps · Missing: mac, macos, cursor
96%96% 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.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, pipe · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, interface · Missing: plus, platform, intuitive
29%29% 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
13%13% 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

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