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AI World News Poetry

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AI World News Poetry

I wasted a couple of hours today making a site that generates AI authored poems based on world news headlines. The news comes from the BBC, verse from OpenAI API and it writes a new poem every 20 minutes (faster than the news typically moves, I've found.) This effort was partly inspired by Matt Webb’s AI clock ( https://twitter.com/genmon/status/1636698753007603713 ) which writes a poem each minute that contains the current time. I thought this was brilliant. Kind of a poetic AI version of Christian Marclay’s 24-hour cinematic masterpiece “The Clock” which sequentially stitched together a whole day of clocks and watches from the history of film. I experimented with my own version of this but the results were always a bit naff and motivational. Using AI for summarising and presenting real world data as a kind of ambient display is an idea that stuck with me, though, and this is the result. Is it actually useful? Could it be a viable replacement for news doom scrolling? I’m not sure yet. Probably not. It was fun to make, though. Let me know what you think of the results.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, openai, using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
62%62% 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 · Strong signals: way · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real world · 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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