I made an emotional support AI companion

Hacker News

Hey HN, Remus here, solo dev building side projects after my 9 to 5. I've always had this idea spinning in my mind for a truly conversational AI that is curious, asks questions, and is compassionate. Something that understands and resonates with you can offer a safe space to talk about problems that may otherwise be harder to discuss with others. In crafting Sayfli, my mission was clear: to complement, not substitute. Sayfli isn't here to replace the irreplaceable: the warmth of human conversation and the invaluable exchanges with those we hold dear. Rather, it's here to be the first step on a path towards open, meaningful engagement with ourselves and, ultimately, with each other. While Sayfli provides emotional support, it is not a replacement for professional therapy and is not designed to be used as such. It is meant to serve as a preliminary step towards self-awareness and can be used alongside professional counseling.

Visit product View on Hacker NewsApr 24, 2024

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

67%67% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% 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

35%35% 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

24%24% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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