Chatroom app to interact with multiple LLMs in real-time

Hacker News

Hey all I've been building an alternative frontend to chatgpt for a while now and it has recently added a bunch of nice features for working with gpt-4 and claude since they have such large context windows. Python 3.6+ Flask Flask-SocketIO Flask-SQLAlchemy Flask-Migrate eventlet or gevent boto3 (for interacting with AWS Bedrock currently Claude, and S3 access) openai (for interacting with OpenAI's language models) Real-time messaging between users in a chatroom. Ability to join different chatrooms with unique URLs. Integration with OpenAI's language models for generating room titles and processing messages. Syntax highlighting for code blocks within messages. Markdown rendering for messages. Commands to load and save code blocks to AWS S3.

Visit product View on Hacker NewsDec 3, 2023

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

90%90% 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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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: users · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: 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 · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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