Python WebApp where Python runs within the user's browser with Pyodide

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It's still a massive work in progress, but I though people here might be interested in the progress made thus far: https://app.pymedphys.com/ It is a file processing application. It has input files and output files. Users select input files from their computer, select a script to run (or edit a script to create their own) and then it produces the output files which can be downloaded. At the moment when Python is running the user interface freezes but to fix that I am told I just need to get my head around web workers ( https://github.com/iodide-project/pyodide/issues/435#issueco... ). It's been quite fun! Also, adding new scripts to the web app should be as simple as following the steps laid out over here: https://github.com/pymedphys/pymedphys/issues/312 I'm keen for feedback, please let me know what you think! I'll likely post this again in the near future once I fix up the freezing and I have also provided a few more example scripts. Cheers, Simon

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

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

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

55%55% 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 · Strong signals: users · Missing: mobile apps, ios, personal

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

44%44% 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

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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.

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