An empathetic AI powered personal assistant [video]

Hacker News

Hey HN! Jason here from Samantha (mysamantha.ai). We're trying to build the best version of Samantha inspired from the movie 'her'- where we reimagined Samantha to be an effective personal assistant who will help humans to be more productive in their work and life. Currently, Samantha specializes in empathetic chat, smart journaling, and Intelligent note-taking via voice and notes. I have made a short demo video here. https://x.com/the_jasonsamuel/status/1818666692697887052 to show how they work. Feel free to try and let me know how it is. looking for your feedback. Have already prepared a roadmap for upcoming releases targeting to release every Friday which you can view here. https://mysamantha.ai/roadmap

Visit product View on Hacker NewsJul 31, 2024

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

59%59% 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: notes · Missing: mac, agents, macos

51%51% 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, video · Missing: mobile apps, ios, entrepreneurs

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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