drovi Plan, Promote, Connect

Hacker News

I'm one of the founders of drovi, a networking platform designed to help people build meaningful, long-lasting professional connections — both online and in-person. We've seen how current networking platforms can feel overwhelming, superficial, or disconnected from real-world experiences. So we built drovi to change that. Key Features: AI matchmaking: Personalised connections based on interests, habits, and event participation. Event creation assistant: Plan events in seconds with AI-powered scheduling, venue suggestions, and budgets. Proactive engagement: Keep users involved with personalised challenges, nudges, and rewards. Blended networking: Encourages deeper connections that span online platforms and in-person meetups. Live now: iOS: https://apps.apple.com/gb/app/drovi/id6572300237 Android: Coming this week. Web: https://drovi.app We’re actively building with feedback from users and communities in the UK and MENA region. I'd love for you to try it out and let us know your thoughts — especially if you’ve ever hosted or attended a professional networking event.

Visit product View on Hacker NewsMar 24, 2025

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Actual performance

2points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

70%70% 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: apple, apps, user · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

46%46% predicted probability of success on TrustMRR, 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

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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