Rapidly prototype and launch LLM Apps

Hacker News

BerriAI is like Retool for LLM Apps. It makes it easy for you to ingest data from Documents, PDFs, Google Docs, Notion, Coda, Excel Sheets, GitHub Code Repos, Jira, Zendesk, PostgreSQL, Datadog and Snowflake. Empower your developers to quickly spin up ChatGPT apps for your organization data through our data connectors, 1-click production deploy, LLM Agent Initializer and Tool Builder. We provide developers with ready made templates for your selected data sources and allow you to write custom data chunking, vectorizing code and build your own LLM Agents. What can you do with Berri? 1. Build a chat/search interface to ask questions about your Documents, Knowledge Base 2. Create a CRM tools to generate outreach messages based on LinkedIn Profiles 3. Build tools to query your database / data warehouses / Application Metrics in natural language (example queries: What is our Monthly ARR? Which transactions are anomalies) 4. Create Tools to automate customer support requests using your Docs, past ZenDesk, Jira Tickets as a knowledge base.

Visit product View on Hacker NewsFeb 8, 2023

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

98%98% 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

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

TrustMRRFits verified-revenue profile · Strong signals: apps, month, google · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, 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

54%54% 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 · Strong signals: arr · Missing: mrr, revenue, profit

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface, builder · Missing: plus, platform, intuitive

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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