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Coding project to sift through Elon Musk's Twitter feed for tech posts
Hacker NewsCoding project to sift through Elon Musk's Twitter feed for tech posts
Hi! Fun little coding project I did to rate the tweets from Elon Musk on technical content, and retweet if they are above a certain threshold. Rating is done using GPT-4o and Claude 3.5 Sonnet. The number of political tweets from Musk was getting too much for me, but didn't want to miss the technical stuff that he tweets about.
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, using, coding · Missing: mac, agents, macos58%58% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting49%49% 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, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% 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, crypto1%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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