Bi

Bitmia, an investing/personal finance community

Hacker News

Bitmia, an investing/personal finance community

Hello Hacker News, I'd like to share an investing/personal finance social news site I've pushed live a couple of days ago. It's based on the lobste.rs codebase, slightly repurposed to be more focused on discussion rather than link aggregation. I assume there’s a significant userbase overlap with HN since most of you who work in computing are well-positioned to retire early. There’s a running joke on /r/financialindependence that they are 99% software engineers. It's live at https://bitmia.com – if you’d like an invite, feel free to request one on the site. Hopefully when/if this catches fire it will be a nice addition to your daily reading. Would be great to get your feedback.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% 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.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
47%47% 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
39%39% 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
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
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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