Belua, Beautifully Organised Contacts

Hacker News

Manage and present your contacts with the Belua app on iPhone. Features: Organise - Display generative art for contacts without photo. - Use tags to categorise your contacts. - Use the touch action to surface contacts in recent. - Sort by recent, by recently added, by tag or by country. - Privacy Built-In from the start. - Actions such as favourite, tag and hide work across devices if you are using iCloud. - Works offline Search - Search text in contacts - Diacritic insensitive [a diacritic is a glyph added to a letter or to a basic glyph]. - Works with natural language text to ensure correct behaviour in multiple scripts and languages such as Chinese or Japanese.

Visit product View on Hacker NewsAug 14, 2022

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

83%83% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

31%31% 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

30%30% 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

18%18% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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