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I integrated AI within the Instagram app to give me replies for chats

Hacker News

I integrated AI within the Instagram app to give me replies for chats

Hey HN! I built this Android app to integrate AI into Instagram, Messenger, and WhatsApp. It now gives reply suggestions and message rewrite suggestions to conversations within the chat bar. It can do quick replies, witty comebacks, and even flirty lines! It has 10 different writing styles and works on both direct and group chats. Currently supports 50+ languages. It works by reading the content on the screen via the accessibility service and uses the keyboard area to display the messages. Currently gauging interest to find the right target audience and what people would primarily use this for, and seeking feedback to decide on adding support for more apps :) You can see it in action here: https://www.youtube.com/watch?v=HjL1UKV25dM It's free to try (link in title). Let me know what you think, here to answer any questions :) P.S. I built this app because I got fired from my job and decided to build something instead of having an existential crisis.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
89%89% 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: apps · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
51%51% 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
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · Strong signals: chat · 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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