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GPT4 and Your Twitter Bookmarks

Hacker News

GPT4 and Your Twitter Bookmarks

(Musk might not be thrilled about this, but here goes nothing!) I use Twitter Bookmarks a ton having bookmarked hundreds of tweets over the years ... all saved with the hope of revisiting them eventually. Sound familiar? It's fine if these were random tweets, but they're not. They're the cream of the crop, meticulously selected by me. Ironically, they just end up neglected in the bookmarks tab. So that's why I built Twitter Bookmarks: - Auto-categorizes your saved tweets - Search tweets by any category you like (think Bootstrapping, Fundraising, and more) - Export to CSV/JSON Just launched, would love to hear what you think!

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Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
27%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, revenue
15%15% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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