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Textual Web – turn TUIs in to web apps

Hacker News

Textual Web – turn TUIs in to web apps

Hi HN, This project is designed to take a TUI built with Textual, and turn it in to a web application. It can also do something similar with your shell or other terminal app. You could serve "htop" for example. There are other projects which do something similar. Textual Web takes a different approach, in that it doesn't need to run as a server. It should work as long as you can make an outgoing tcp/ip connection. I plan to expose more of the web API to Textual apps. The goal is to have a system to quickly create and deploy UIs with Python. These aren't going to replace web applications any time soon, they are more for backends / dashboards / industrial use cases. Details on the repo. I'll be around to answer questions.

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
81%81% 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
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
50%50% 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
18%18% 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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