Gdańsk AI – full stack AI voice chatbot

Hacker News

Hi! It's a complete product with integrations to Auth0, OpenAI, Google Cloud and Stripe, which consists of Next.js Web App, Node.js + Express Web API and Python + FastAPI AI API I've built this software, because I wanted to make money by selling tokens to enable users talking with the chatbot. But I think Google / Apple will include such AI-powered assistant in their products soon, so nobody will pay me for using it So I open source the product today and share it as a GNU GPL-2 licensed software I'm happy to assist in case if something is unclear or requires additional docs and answer any questions about Gdańsk AI :) Thanks

Visit product View on Hacker NewsAug 4, 2023

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

94%94% 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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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: google, users · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

17%17% 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, make money · Missing: web3, crypto, cryptocurrency

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

Incorrect prediction on native model

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