Jarvis AI – Text, iMessage, and Email ChatGPT

Hacker News

We're back with another ShowHN! When we launched, you could text Jarvis AI using regular SMS messages from your phone. Since launching 3 weeks ago[1], we've introduced two new channels for using ChatGPT. Now you can use ChatGPT over SMS text message, iMessage for Apple-enabled devices, and via Email. It is super interesting to forward an email to Jarvis AI and see its thoughts on your email thread. It can help you brainstorm or it can suggest a reply to previous emails. 10 messages free forever, more volume is free over iMessage and Email for a limited time (until the HN hug of death!). You don't have to sign up or anything to try it. Just send a text to: +1 (855) 676-1two89. Thanks for checking this out. Many exciting features are coming soon to make this more than just a different interface to ChatGPT. We want to make AI accessible to more people, over more channels, with more useful things for your day-to-day. For medical professionals, we added the /diagnose command. Ask Jarvis "/diagnose 32 year old harsh cough" for example. Soon, we are adding features like /invoice for generating invoices and /remember for notes and reminders. [1] Related: See the first HN post when we launched here: https://news.ycombinator.com/item?id=35466231

Visit product View on Hacker NewsApr 28, 2023

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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: apple, new, email · Missing: mac, agents, macos

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

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

58%58% 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 · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

22%22% 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, introduce · Missing: web3, crypto, cryptocurrency

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

Correct prediction on native model

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