Assindo – [Android] AI Assistant to handle your phone calls

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Hi HN, I created Assindo, an AI virtual assistant in MVP stage to automate phone calls for busy professionals and parents. Balancing work with personal responsibilities left me losing time to missed calls, hold times, and scheduling tasks. Hiring a human virtual assistant was costly, so I built Assindo to automate and manage these phone-based tasks, freeing up my focus while ensuring no important call or task slips through the cracks. ### How It Works - Outgoing Calls: Assindo can schedule appointments, handle customer service calls, and make reservations, navigating IVR menus and managing hold times. - Incoming Calls: It transcribes messages, summarizes key info, and sets up follow-up tasks – so no critical call is missed. ### Next Steps I applied to YC 2025 (fingers crossed!) and am looking for early adopters to try Assindo and share feedback, as well as suggestions on new features to improve the experience. ### What is new ? We have shared that we have launched a web version 2 weeks ago. Today, we are thrilled to share we have released the Android app: https://play.google.com/store/apps/details?id=ai.asindo.beta... . Note: currently available only for the US and Canada. visit assindo.com for more info. Thanks, and I’d love any feedback! iOS will be released in few days, you can join the wait list: https://www.assindo.com/waitlist

Visit product View on Hacker NewsNov 21, 2024

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

86%86% 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: google, apps, new · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: calls · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, 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

41%41% 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 · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

39%39% 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

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

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

Incorrect prediction on native model

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