An

An AI that 1:1 emulates texting a human

Hacker News

An AI that 1:1 emulates texting a human

Hi HN! I have created a particularly realistic AI simulacra: https://kara.rhogpt.ai/ . I haven't seen any LLM companies really explore this format. Unlike other AI chatbots kara can receive multiple messages at once and send multiple messages at once. The personality is also pretty different from ChatGPT or Claude. It really is a lot like texting a friend. Also I don't really like roleplay so kara does acknowledge it is an AI unlike friend.com and doesn't pretend it is anyone else unlike character.ai. There might be some stability issues with the model (repeating messages, etc). It's made to appeal to younger people (gen-z) which might explain some design choices. Let me know what you think! Thinking of making an app. https://kara.rhogpt.ai/

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
82%82% 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: claude, model, chatgpt · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · 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: personal · Missing: mobile apps, ios, entrepreneurs
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
20%20% 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 · Missing: web3, crypto, cryptocurrency
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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