AI Assistant for Dumbphone Users

Hacker News

Hey! I've been living with the lightphone 2 for the past 3 years and managed to survive with having the messaging apps etc on my laptop, but I had the idea of connecting those services to AI agent that I can just call or text. Right now it only has ability to search internet using perplexity but it's already been useful for asking about store opening hours and weather. I'm working on making it connected also to my calendar, email and whatsapp. Also I think ability to send photos for translation and QR codes would be nice. I'm curious if any of you use a dumbphone and what do you wish you had access to? If you ran out of your initial credits, you can just add more for free right now. If there are more people interested, I will make it possible to purchase credits, since every minute costs me money:D. -Rasmus

Visit product View on Hacker NewsFeb 12, 2025

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

91%91% 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: agent, apps, user · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% 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: apps, users · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

34%34% 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

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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