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Wiretap – a trying-to-be-artsy visualisation of Bluesky posts

Hacker News

Wiretap – a trying-to-be-artsy visualisation of Bluesky posts

Wiretap is my attempt to recreate Listening Post [0] (in spirit, at least), an art installation by Ben Rubin and Mark Hanson. It cycles through five themes: 'I love', 'I hate', 'I think', 'I feel' and 'I wish'. It may be NSFW depending on what posts it picks up. The first version was built around the Twitter API, but stopped working once the API was paywalled. It was great to be able to resurrect it. [0] http://www.digiart21.org/art/the-listening-post

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos
65%65% 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
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% 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, personal
33%33% 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
29%29% 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
20%20% 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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