Friendly AI – Chatbot messenger for your AI assistants

Hacker News

My buddy and I have been working on a chatbot service that connects to servers running AI assistants. Friendly AI allows developers and researchers to connect their existing Python servers using a messenger interface. We have also built a simple open source messaging protocol called BaseBot ( https://github.com/sergeybok/BaseBot ) that allows anyone to add support for our app to their existing servers. Users can create a server running a LLM bot, Stable Diffusion bot, or any other server application. Check out the experimental quickstart section to get up and running on your own device: https://github.com/sergeybok/BaseBot#experimental-quickstart . Right now, the app is built using React Native, but we are actively working on native apps for both iOS and Android with expanded functionality. While the Android app is still in review, you can check out the iOS app at: https://apps.apple.com/us/app/friendly-ai/id6447589849 . If you have any questions or would like to share any feedback privately, you can email us at contact@friendlyai.xyz.

Visit product View on Hacker NewsApr 28, 2023

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2points

Did not reach leaderboard

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

86%86% 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, apps, user · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, open source, existing · Missing: https docs, excited, just released

45%45% 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 · Strong signals: friendly, interface, users · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

21%21% 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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