Baldrick. Your SQL Dogsbody

Hacker News

Baldrick is a chatbot that lives in your chat apps and gets data from your data warehouse. It's kind of like an "analyst in a box" but maybe a bit rougher around the edges. Most folks don't want to write SQL. Most folks know how to use slack. Putting a natural language interface onto your data warehouse and exposing it through slack felt like a cunning plan... We built this to get a better feeling for what is possible with LLMs. Other libraries like GPT Index and LangChain provide nice primitives for building apps such as this, but "full" examples are scarce. If the community is interested in the direction we're going, we have some more todos listed in the README and welcome feedback. Currently this is more proof-of-concept than production. The README.md on github goes into more detail around what tech choices we made and what the current functionality is. You should be able to read the readme and get a good idea how these kinds of apps work. Unfortunately, deployment is more involved that we'd like it to be because it connects so many different services: Slack, OpenAI, a relational db, and a datawarehouse.

Visit product View on Hacker NewsFeb 21, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, apps, openai · Missing: mac, agents, macos

95%95% 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

80%80% 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.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

19%19% 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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