Self-hosted alternative to ChatGPT (and more)

Hacker News

Hey HN My friend and I have been hacking on SecureAI Tools — an open-source AI tools platform for everyone’s productivity. And we have our very first release Here is a quick demo: https://youtu.be/v4vqd2nKYj0 Get started: https://github.com/SecureAI-Tools/SecureAI-Tools#install Highlights: * Local inference: Runs AI models locally. Supports 100+ open-source (and semi open-source) AI models. * Built-in authentication: A simple email/password authentication so it can be opened to the internet and accessed from anywhere. * Built-in user management: So family members or coworkers can use it as well if desired. * Self-hosting optimized: Comes with necessary scripts and docker-compose files to get started in under 5 minutes. * Lightweight: A simple web app with SQLite DB to avoid having to run additional DB docker. Data is persisted on the host machine through docker volumes In the future, we are looking to add support for more AI tools like chat-with-documents, discord bot, and many more. Please let us know if you have any specific ones that you’d like us to build, and we will be happy to add them to our to-do list. Please give it a go and let us know what you think. We’d love to get your feedback. Feel free to contribute to this project, if you'd like -- we welcome contributions :) We also have a small discord community at https://discord.gg/YTyPGHcYP9 so consider joining it if you'd like to follow along

Visit product View on Hacker NewsNov 30, 2023

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

85%85% 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 · Strong signals: supports, started · Missing: reddit linkedin, podcasting, created

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

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, 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 · 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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