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Executing Python from Tweets

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Executing Python from Tweets

Hello HN! Pyrun is a Chrome Extension that brings a Python IDE into your Twitter for those who consume and create Python content. *The Status Quo (This is quite a limited experience!)* - Content creators share Python snippets as images; - The audience zooms into the image to see what’s in there; * The Pyrun extension creates a whole new learning experience:* ▶ Hit one button to execute the Python snippet See Python's output inside Twitter Edit the code and rerun Content creators only have to share the code inside the image’s ALT, add “#pyrun” in their Tweet and that’s it! This extension will enhance the learning experience and improve engagement without disrupting the Twitter experience!

Visit productView on Hacker NewsSep 7, 2022
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3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos
62%62% 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
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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