Ho

Houdini by WhoDB – connect any data source to natural language

Hacker News

Houdini by WhoDB – connect any data source to natural language

Hello Fellow Hackers! I am Hemang - CEO of Clidey WhoDB. We’ve just added a new feature to WhoDB that allows you to interact with your data using natural language. Instead of writing SQL queries, you can now just ask questions, and WhoDB will do the heavy lifting. We hope this makes data management a bit easier for everyone, whether you’re just starting out or have been working with databases for years. We didn’t integrate AI just because it’s trendy; we genuinely think it improves the user experience. By using large language models, we’ve aimed to make data management more intuitive. WhoDB is still open-source and driven by community feedback, so your thoughts and suggestions are really important to us. If you’re curious, you can check out a demo video or try it out with a quick Docker command: docker run -it -p 8080:8080 clidey/whodb. We’d appreciate hearing your feedback. GitHub: https://github.com/clidey/whodb

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, dock · 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
65%65% 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
60%60% 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: video · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
32%32% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Fo
Fountain – Natural Language Data Augmentation Tool51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fountain – Natural Language Data Augmentation Tool

Hacker News1
Na
Natural Language Querying43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Natural Language Querying

Hacker News17
Da
DataLang – Ask Your Data in Natural Language48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DataLang – Ask Your Data in Natural Language

Hacker News3
Wi
Wit – Natural language for your app45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wit – Natural language for your app

Hacker News321
Re
Retorch: Connect any data, run any Python analysis in natural language49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Retorch: Connect any data, run any Python analysis in natural language

Hacker News1
Be
Beaches of Greece, natural-language search for Greek beaches51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beaches of Greece, natural-language search for Greek beaches

Hacker News1
Ma
Make GLSL Shaders with natural language52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make GLSL Shaders with natural language

Hacker News1
Qu
Query standup data in natural language53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Query standup data in natural language

Hacker News4
Minard
Minard53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

natural language data visualization

Indie Hackerscommitment-full-time
Se
Selecta – Natural language analytics for BigQuery55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Selecta – Natural language analytics for BigQuery

Hacker News1